Jun Shao – författare & böcker

Statistics in Drug Research

Methodologies and Recent Developments

E-bok

PDF, Engelska, 2002

1 177 kr

Läs direkt efter köp

Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Cove

Statistical Methods for Handling Incomplete Data

AvJae Kwang Kim,Jun Shao

Inbunden, Engelska, 2021

2 071 kr

Skickas inom 10-15 vardagar

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

Statistics in Drug Research

Methodologies and Recent Developments

AvShein-Chung Chow,Jun Shao

Häftad, Engelska, 2019

967 kr

Skickas inom 10-15 vardagar

Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Coverage include statistical techniques for assay validation and evaluation of drug performance characteristics, testing population/individual bioequivalence and in vitro bioequivalence according to the most recent FDA guidelines, basic considerations for the design and analysis of therapeutic equivalence and noninferiority trials.

Sample Size Calculations in Clinical Research

AvShein-Chung Chow,Jun Shaom. fl.

Häftad, Engelska, 2020

691 kr

Skickas inom 10-15 vardagar

Praise for the Second Edition:"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical SocietySample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation.Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.

Mathematical Statistics

AvJun Shao

E-bok

PDF, Engelska, 2008

1 946 kr

Läs direkt efter köp

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.

In addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics. Added topics include useful moment inequalities, more discussions of moment generating and characteristic functions, conditional independence, Markov chains, martingales, Edgeworth and Cornish-Fisher expansions, and proofs to many key theorems such as the dominated convergence theorem, monotone convergence theorem, uniqueness theorem, continuity theorem, law of large numbers, and central limit theorem. A new section in Chapter 5 introduces semiparametric models, and a number of new exercises were added to each chapter.

Mathematical Statistics

AvJun Shao

E-bok

PDF, Engelska, 2006

1 140 kr

Läs direkt efter köp

This book is intended for a course entitled Mathematical Statistics o?ered at the Department of Statistics, University of Wisconsin-Madison. This course, taught in a mathematically rigorous fashion, covers essential - terials in statistical theory that a ?rst or second year graduate student typically needs to learn as preparation for work on a Ph. D. degree in stat- tics. The course is designed for two 15-week semesters, with three lecture hours and two discussion hours in each week. Students in this course are assumed to have a good knowledge of advanced calculus. A course in real analysis or measure theory prior to this course is often recommended. Chapter 1 provides a quick overview of important concepts and results in measure-theoretic probability theory that are used as tools in the rest of the book. Chapter 2 introduces some fundamental concepts in statistics, including statistical models, the principle of su?ciency in data reduction, and two statistical approaches adopted throughout the book: statistical decision theory and statistical inference. Each of Chapters 3 through 7 provides a detailed study of an important topic in statistical decision t- ory and inference; Chapter 3 introduces the theory of unbiased estimation; Chapter 4 studies theory and methods in point estimation under param- ric models; Chapter 5 covers point estimation in nonparametric settings; Chapter 6 focuses on hypothesis testing; and Chapter 7 discusses int- val estimation and con?dence sets.

Mathematical Statistics: Exercises and Solutions

AvJun Shao

Häftad, Engelska, 2005

1 694 kr

Skickas inom 10-15 vardagar

Since the publication of my book Mathematical Statistics (Shao, 2003), I have been asked many times for a solution manual to the exercises in my book. Without doubt, exercises form an important part of a textbook on mathematical statistics, not only in training students for their research ability in mathematical statistics but also in presenting many additional results as complementary material to the main text. Written solutions to these exercises are important for students who initially do not have the skills in solving these exercises completely and are very helpful for instructors of a mathematical statistics course (whether or not my book Mathematical Statistics is used as the textbook) in providing answers to students as well as ?nding additional examples to the main text. Mo- vatedbythisandencouragedbysomeofmycolleaguesandSpringer-Verlag editor John Kimmel, I have completed this book,Mathematical Statistics: Exercises and Solutions. This book consists of solutions to 400 exercises, over 95% of which are in my bookMathematical Statistics. Many of them are standard exercises that also appear in other textbooks listed in the references. It is only a partial solution manual to Mathematical Statistics (which contains over 900exercises).

Mathematical Statistics: Exercises and Solutions

AvJun Shao

E-bok

PDF, Engelska, 2006

2 223 kr

Läs direkt efter köp

Since the publication of my book Mathematical Statistics (Shao, 2003), I have been asked many times for a solution manual to the exercises in my book. Without doubt, exercises form an important part of a textbook on mathematical statistics, not only in training students for their research ability in mathematical statistics but also in presenting many additional results as complementary material to the main text. Written solutions to these exercises are important for students who initially do not have the skills in solving these exercises completely and are very helpful for instructors of a mathematical statistics course (whether or not my book Mathematical Statistics is used as the textbook) in providing answers to students as well as ?nding additional examples to the main text. Mo- vatedbythisandencouragedbysomeofmycolleaguesandSpringer-Verlag editor John Kimmel, I have completed this book,Mathematical Statistics: Exercises and Solutions. This book consists of solutions to 400 exercises, over 95% of which are in my bookMathematical Statistics. Many of them are standard exercises that also appear in other textbooks listed in the references. It is only a partial solution manual to Mathematical Statistics (which contains over 900exercises).

Jackknife and Bootstrap

AvJun Shao,Dongsheng Tu

Inbunden, Engelska, 1995

3 777 kr

Skickas inom 10-15 vardagar

The jackknife and bootstrap are the most popular data-resampling meth ods used in statistical analysis. The resampling methods replace theoreti cal derivations required in applying traditional methods (such as substitu tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel opments of the resampling methods. The theoretical properties of the jackknife and bootstrap methods are studied in this book in an asymptotic framework. Theorems are illustrated by examples. Finite sample properties of the jackknife and bootstrap are mostly investigated by examples and/or empirical simulation studies. In addition to the theory for the jackknife and bootstrap methods in problems with independent and identically distributed (Li.d.) data, we try to cover, as much as we can, the applications of the jackknife and bootstrap in various complicated non-Li.d. data problems.

Mathematical Statistics

AvJun Shao

Inbunden, Engelska, 2003

2 161 kr

Skickas inom 10-15 vardagar

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics. Added topics include useful moment inequalities, more discussions of moment generating and characteristic functions, conditional independence, Markov chains, martingales, Edgeworth and Cornish-Fisher expansions, and proofs to many key theorems such as the dominated convergence theorem, monotone convergence theorem, uniqueness theorem, continuity theorem, law of large numbers, and central limit theorem. A new section in Chapter 5 introduces semiparametric models, and a number of new exercises were added to each chapter.

Statistics in Drug Research

Methodologies and Recent Developments

AvShein-Chung Chow,Jun Shao

Inbunden, Engelska, 2002

4 010 kr

Skickas inom 10-15 vardagar

Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Coverage include statistical techniques for assay validation and evaluation of drug performance characteristics, testing population/individual bioequivalence and in vitro bioequivalence according to the most recent FDA guidelines, basic considerations for the design and analysis of therapeutic equivalence and noninferiority trials.

Statistical Methods for Handling Incomplete Data

AvJun Shao,Jae Kwang Kim

E-bok

PDF, Engelska, 2021

824 kr

Läs direkt efter köp

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.

Features

Uses the mean score equation as a building block for developing the theory for missing data analysis

Provides comprehensive coverage of computational techniques for missing data analysis

Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation

Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data

Describes a survey sampling application

Updated with a new chapter on Data Integration

Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation

The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

Statistical Methods for Handling Incomplete Data

AvJun Shao,Jae Kwang Kim

E-bok

Engelska, 2021

824 kr

Läs direkt efter köp

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.

Features

Uses the mean score equation as a building block for developing the theory for missing data analysis

Provides comprehensive coverage of computational techniques for missing data analysis

Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation

Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data

Describes a survey sampling application

Updated with a new chapter on Data Integration

Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation

The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

Statistical Methods for Handling Incomplete Data

AvJae Kwang Kim,Jun Shao

Häftad, Engelska, 2024

728 kr

Skickas inom 10-15 vardagar

Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

Statistics in Drug Research

Methodologies and Recent Developments

AvShein-Chung Chow,Jun Shao

E-bok

Engelska, 2002

1 143 kr

Läs direkt efter köp

Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Cove

Sample Size Calculations in Clinical Research

AvShein-Chung Chow,Jun Shaom. fl.

Inbunden, Engelska, 2017

2 511 kr

Skickas inom 10-15 vardagar

Praise for the Second Edition:"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical SocietySample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation.Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approachesThis new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.

Sample Size Calculations in Clinical Research

AvYuliya Lokhnygina,Hansheng Wangm. fl.

E-bok

Engelska, 2017

814 kr

Läs direkt efter köp

Praise for the Second Edition:

"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics

"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical Society

Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation.

Features:

Compares the relative merits and disadvantages of statistical methods for sample size calculations

Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages

Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health

Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches

This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.

Sample Size Calculations in Clinical Research

AvYuliya Lokhnygina,Hansheng Wangm. fl.

E-bok

PDF, Engelska, 2017

814 kr

Läs direkt efter köp

Praise for the Second Edition:

"… this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study." -Biometrics

"This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered …" – Journal of the Royal Statistical Society

Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation.

Features:

Compares the relative merits and disadvantages of statistical methods for sample size calculations

Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages

Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health

Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches

This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation.

Mathematical Statistics

AvJun Shao

Häftad, Engelska, 2010

1 515 kr

Skickas inom 10-15 vardagar

This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3-7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results. In addition to improving the presentation, the new edition makes Chapter 1 a self-contained chapter for probability theory with emphasis in statistics. Added topics include useful moment inequalities, more discussions of moment generating and characteristic functions, conditional independence, Markov chains, martingales, Edgeworth and Cornish-Fisher expansions, and proofs to many key theorems such as the dominated convergence theorem, monotone convergence theorem, uniqueness theorem, continuity theorem, law of large numbers, and central limit theorem. A new section in Chapter 5 introduces semiparametric models, and a number of new exercises were added to each chapter.

Jackknife and Bootstrap

AvDongsheng Tu,Jun Shao

E-bok

PDF, Engelska, 2012

4 857 kr

Läs direkt efter köp

The jackknife and bootstrap are the most popular data-resampling meth ods used in statistical analysis. The resampling methods replace theoreti cal derivations required in applying traditional methods (such as substitu tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel opments of the resampling methods. The theoretical properties of the jackknife and bootstrap methods are studied in this book in an asymptotic framework. Theorems are illustrated by examples. Finite sample properties of the jackknife and bootstrap are mostly investigated by examples and/or empirical simulation studies. In addition to the theory for the jackknife and bootstrap methods in problems with independent and identically distributed (Li.d.) data, we try to cover, as much as we can, the applications of the jackknife and bootstrap in various complicated non-Li.d. data problems.

Jackknife and Bootstrap

AvJun Shao,Dongsheng Tu

Häftad, Engelska, 2012

3 777 kr

Skickas inom 10-15 vardagar

The jackknife and bootstrap are the most popular data-resampling meth ods used in statistical analysis. The resampling methods replace theoreti cal derivations required in applying traditional methods (such as substitu tion and linearization) in statistical analysis by repeatedly resampling the original data and making inferences from the resamples. Because of the availability of inexpensive and fast computing, these computer-intensive methods have caught on very rapidly in recent years and are particularly appreciated by applied statisticians. The primary aims of this book are (1) to provide a systematic introduction to the theory of the jackknife, the bootstrap, and other resampling methods developed in the last twenty years; (2) to provide a guide for applied statisticians: practitioners often use (or misuse) the resampling methods in situations where no theoretical confirmation has been made; and (3) to stimulate the use of the jackknife and bootstrap and further devel opments of the resampling methods. The theoretical properties of the jackknife and bootstrap methods are studied in this book in an asymptotic framework. Theorems are illustrated by examples. Finite sample properties of the jackknife and bootstrap are mostly investigated by examples and/or empirical simulation studies. In addition to the theory for the jackknife and bootstrap methods in problems with independent and identically distributed (Li.d.) data, we try to cover, as much as we can, the applications of the jackknife and bootstrap in various complicated non-Li.d. data problems.

Jianying Zhou, Sridhar Adepu, Cristina Alcaraz, Lejla Batina, Emiliano Casalicchio, Sudipta Chattopadhyay, Chenglu Jin, Jingqiang Lin, Eleonora Losiouk, Suryadipta Majumdar, Weizhi Meng, Stjepan Picek, Jun Shao, Chunhua Su, Cong Wang, Yury Zhauniarovich, Saman Zonouz - Applied Cryptography and Network Security Workshops, Häftad

Applied Cryptography and Network Security Workshops

ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Rome, Italy, June 20–23, 2022, Proceedings

AvJianying Zhou,Sridhar Adepum. fl.

Häftad, Engelska, 2022

562 kr

Skickas inom 10-15 vardagar

This book constitutes the proceedings of the satellite workshops held around the 20th International Conference on Applied Cryptography and Network Security, ACNS 2022, held in Rome, Italy, in June 2022. Due to the Corona pandemic the workshop was held as a virtual event. The 31 papers presented in this volume were carefully reviewed and selected from 52 submissions. They stem from the following workshops:– AIBlock: 4th ACNS Workshop on Application Intelligence and Blockchain Security– AIHWS: 3rd ACNS Workshop on Artificial Intelligence in Hardware Security– AIoTS: 4th ACNS Workshop on Artificial Intelligence and Industrial IoT Security– CIMSS: 2nd ACNS Workshop on Critical Infrastructure and Manufacturing System Security– Cloud S&P: 4th ACNS Workshop on Cloud Security and Privacy– SCI: 3rd ACNS Workshop on Secure Cryptographic Implementation– SecMT: 3rd ACNS Workshop on Security in Mobile Technologies– SiMLA: 4th ACNS Workshop on Security in Machine Learning and its Applications

Saman Zonouz, Yury Zhauniarovich, Cong Wang, Chunhua Su, Jun Shao, Stjepan Picek, Weizhi Meng, Suryadipta Majumdar, Eleonora Losiouk, Jingqiang Lin, Chenglu Jin, Sudipta Chattopadhyay, Emiliano Casalicchio, Lejla Batina, Cristina Alcaraz, Sridhar Adepu, Jianying Zhou - Applied Cryptography and Network Security Workshops, E-bok

Applied Cryptography and Network Security Workshops

ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Rome, Italy, June 20–23, 2022, Proceedings

AvSaman Zonouz,Yury Zhauniarovichm. fl.

E-bok

Engelska, 2022

734 kr

Läs direkt efter köp

This book constitutes the proceedings of the satellite workshops held around the 20th International Conference on Applied Cryptography and Network Security, ACNS 2022, held in Rome, Italy, in June 2022. Due to the Corona pandemic the workshop was held as a virtual event.

The 31 papers presented in this volume were carefully reviewed and selected from 52 submissions. They stem from the following workshops:

– AIBlock: 4th ACNS Workshop on Application Intelligence and Blockchain Security

– AIHWS: 3rd ACNS Workshop on Artificial Intelligence in Hardware Security

– AIoTS: 4th ACNS Workshop on Artificial Intelligence and Industrial IoT Security

– CIMSS: 2nd ACNS Workshop on Critical Infrastructure and Manufacturing System Security

– Cloud S&P: 4th ACNS Workshop on Cloud Security and Privacy

– SCI: 3rd ACNS Workshop on Secure Cryptographic Implementation

– SecMT: 3rd ACNS Workshop on Security in Mobile Technologies

– SiMLA: 4th ACNS Workshop on Security in Machine Learning and its Applications

Jianying Zhou, Lejla Batina, Zengpeng Li, Jingqiang Lin, Eleonora Losiouk, Suryadipta Majumdar, Daisuke Mashima, Weizhi Meng, Stjepan Picek, Mohammad Ashiqur Rahman, Jun Shao, Masaki Shimaoka, Ezekiel Soremekun, Chunhua Su, Je Sen Teh, Aleksei Udovenko, Cong Wang, Leo Zhang, Yury Zhauniarovich - Applied Cryptography and Network Security Workshops, Häftad

Applied Cryptography and Network Security Workshops

ACNS 2023 Satellite Workshops, ADSC, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Kyoto, Japan, June 19–22, 2023, Proceedings

AvJianying Zhou,Lejla Batinam. fl.

Häftad, Engelska, 2023

1 116 kr

Skickas inom 10-15 vardagar

This book constitutes the proceedings of the satellite workshops held around the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Kyoto, Japan, in June 2023.The 34 full papers and 13 poster papers presented in this volume were carefully reviewed and selected from 76 submissions. They stem from the following workshops:· 1st ACNS Workshop on Automated Methods and Data-driven Techniques in Symmetric-key Cryptanalysis (ADSC 2023)· 5th ACNS Workshop on Application Intelligence and Blockchain Security (AIBlock 2023)· 4th ACNS Workshop on Artificial Intelligence in Hardware Security (AIHWS 2023)· 5th ACNS Workshop on Artificial Intelligence and Industrial IoT Security (AIoTS 2023)· 3rd ACNS Workshop on Critical Infrastructure and Manufacturing System Security (CIMSS 2023)· 5th ACNS Workshop on Cloud Security and Privacy (Cloud S&P 2023) · 4th ACNS Workshop on Secure Cryptographic Implementation (SCI 2023)· 4th ACNS Workshop on Security in Mobile Technologies (SecMT 2023)· 5th ACNS Workshop on Security in Machine Learning and its Applications (SiMLA 2023)

Yury Zhauniarovich, Leo Zhang, Cong Wang, Aleksei Udovenko, Je Sen Teh, Chunhua Su, Ezekiel Soremekun, Masaki Shimaoka, Jun Shao, Mohammad Ashiqur Rahman, Stjepan Picek, Weizhi Meng, Daisuke Mashima, Suryadipta Majumdar, Eleonora Losiouk, Jingqiang Lin, Zengpeng Li, Lejla Batina, Jianying Zhou - Applied Cryptography and Network Security Workshops, E-bok

Applied Cryptography and Network Security Workshops

ACNS 2023 Satellite Workshops, ADSC, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Kyoto, Japan, June 19–22, 2023, Proceedings

AvYury Zhauniarovich,Leo Zhangm. fl.

E-bok

Engelska, 2023

1 459 kr

Läs direkt efter köp

This book constitutes the proceedings of the satellite workshops held around the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Kyoto, Japan, in June 2023.

The 34 full papers and 13 poster papers presented in this volume were carefully reviewed and selected from 76 submissions. They stem from the following workshops:

· 1st ACNS Workshop on Automated Methods and Data-driven Techniques in Symmetric-key Cryptanalysis (ADSC 2023)

· 5th ACNS Workshop on Application Intelligence and Blockchain Security (AIBlock 2023)

· 4th ACNS Workshop on Artificial Intelligence in Hardware Security (AIHWS 2023)

· 5th ACNS Workshop on Artificial Intelligence and Industrial IoT Security (AIoTS 2023)

· 3rd ACNS Workshop on Critical Infrastructure and Manufacturing System Security (CIMSS 2023)

· 5th ACNS Workshop on Cloud Security and Privacy (Cloud S&P 2023)

· 4th ACNS Workshop on Secure Cryptographic Implementation (SCI 2023)

· 4th ACNS Workshop on Security in Mobile Technologies (SecMT 2023)

· 5th ACNS Workshop on Security in Machine Learning and its Applications (SiMLA 2023)

Attacks and Defenses for the Internet-of-Things

7th International Conference, ADIoT 2024, Hangzhou, China, December 13–14, 2024, Proceedings

AvWeizhi Meng,Moti Yungm. fl.

Häftad, Engelska, 2025

492 kr

Skickas inom 10-15 vardagar

This book constitutes the referred proceedings of the 7th International Conference on Attacks and Defenses for Internet-of-Things, ADIoT 2024, held as an hybrid event, in Hangzhou, China, during December 13–14, 2024.The 10 full papers were carefully reviewed and selected from 41 submissions.This conference focuses on both sides of IoT attacks and defenses, and seek original submissions that discuss either practical or theoretical solutions to identify IoT vulnerabilities and IoT security mechanisms.

Attacks and Defenses for the Internet-of-Things

7th International Conference, ADIoT 2024, Hangzhou, China, December 13–14, 2024, Proceedings

AvJun Shao,Moti Yungm. fl.

E-bok

Engelska, 2025

633 kr

Läs direkt efter köp

This book constitutes the referred proceedings of the 7th International Conference on Attacks and Defenses for Internet-of-Things, ADIoT 2024, held as an hybrid event, in Hangzhou, China, during December 13–14, 2024.The 10 full papers were carefully reviewed and selected from 41 submissions.This conference focuses on both sides of IoT attacks and defenses, and seek original submissions that discuss either practical or theoretical solutions to identify IoT vulnerabilities and IoT security mechanisms.

Del 2897 - Communications in Computer and Information Science

Emerging Information Security and Applications

6th International conference, EISA 2025, Hangzhou, China, December 12–13, 2025, Proceedings

AvWenjuan Li,Sokratis Katsikasm. fl.

Häftad, Engelska, 2026

784 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 6th International Conference on EISA--Emerging Information Security and Applications, EISA 2025, held in Hangzhou, China, during December 12-13, 2025.The 10 full papers included in this book were carefully reviewed and selected from 38 submissions. This conference focuses the need for emerging techniques, theories and applications to protect information and practical security.

Emerging Information Security and Applications

6th International conference, EISA 2025, Hangzhou, China, December 12-13, 2025, Proceedings

AvJun Shao,Sokratis Katsikasm. fl.

E-bok

Engelska, 2026

978 kr

Läs direkt efter köp

This book constitutes the refereed proceedings of the 6th International Conference on EISA--Emerging Information Security and Applications, EISA 2025, held in Hangzhou, China, during December 12-13, 2025.The 10 full papers included in this book were carefully reviewed and selected from 38 submissions. This conference focuses the need for emerging techniques, theories and applications to protect information and practical security.

Emerging Information Security and Applications

4th International Conference, EISA 2023, Hangzhou, China, December 6–7, 2023, Proceedings

AvJun Shao,Sokratis K. Katsikasm. fl.

Häftad, Engelska, 2024

728 kr

Skickas inom 10-15 vardagar

This volume constitutes the proceedings presented at the 4th International Conference on Emerging Information Security and Applications, EISA 2023, held in Hangzhou, China, in December 2023. The 11 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. The topics of the book are related but not limited to cyber intelligence techniques, multimedia security, blockchain and distributed ledger technology, malware and unwanted software, vulnerability analysis and reverse engineering, usable security and privacy, intrusion detection and prevention, authentication and access control, anonymity and privacy, cryptographic protection, digital forensics, cyber physical systems security, adversarial learning, security measurement, security management and policies, hardware and physical security.