Mauro Conti – författare

This book explores five fundamental mechanisms to build secure Wireless Sensor Networks (WSNs).

This book explores five fundamental mechanisms to build secure Wireless Sensor Networks (WSNs).

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes.The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with  backgroundsin artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

This book constitutes the proceedings of the 15th International Workshop on Security and Trust Management, STM 2019, held in Luxembourg City, Luxembourg, in September 2019, and co-located with the 24th European Symposium Research in Computer Security, ESORICS 2019.

This two-volume set of LNCS 12146 and 12147 constitutes the refereed proceedings of the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, held in Rome, Italy, in October 2020.

This two-volume set of LNCS 12146 and 12147 constitutes the refereed proceedings of the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, held in Rome, Italy, in October 2020.The conference was held virtually due to the COVID-19 pandemic.

This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020.The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops:AIBlock 2020:Second International Workshop on Application Intelligence and Blockchain SecurityAIHWS 2020:First International Workshop on Artificial Intelligence in Hardware SecurityAIoTS 2020:Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things SecurityCloud S&P 2020:Second International Workshop on Cloud Security and PrivacySCI 2020:First International Workshop on Secure Cryptographic ImplementationSecMT 2020:First International Workshop on Security in Mobile TechnologiesSiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications

This book constitutes the refereed proceedings of the 20th International Conference on Cryptology and Network Security, CANS 2021, which was held during December 13-15, 2021.

The LNCS 13172 constitute the proceedings of the 13th International Symposium on Cyberspace Safety and Security, CSS 2021, held online, in November 2021.The 9 full papers and 5 short papers presented in this book were carefully reviewed and selected from 35 submissions.

This handbook is a selection of foundational aspects, security analysis, platforms, and applications of blockchains that consists of four parts. The first part introduces the basic building blocks such as distributed computing and cryptography. Consensus algorithms that form the basic backbone of blockchain protocols are presented. Various cryptographic tools like hash functions, digital signatures and commitment schemes are also introduced. Advanced cryptographic techniques such as zero knowledge protocols, secret sharing, verifiable random functions that are used for privacy-preserving and secure design are discussed. The second part of this handbook consists of popular blockchain designs and platforms. Architecture of Bitcoin, Ethereum, Monero, Tendermint and Algorand have been presented. Various important issues like scalability and security are discussed in the third part. Security design challenges, security vulnerabilities and their analysis are discussed. The final part of this handbook discusses various applications of blockchains. These include supply-chain, identity and credential management, Internet of Things (IoT), data-sharing, e-voting, e-governance, e-health, smart cities, and Industry 4.0. Research challenges and directions of future work are included in this handbook.This comprehensive reference targets students and researchers, who are starting to explore blockchain. Professionals working in blockchain security and applications will find this handbook to be a valuable reference.

This handbook is a selection of foundational aspects, security analysis, platforms, and applications of blockchains that consists of four parts. The final part of this handbook discusses various applications of blockchains. Professionals working in blockchain security and applications will find this handbook to be a valuable reference.

The four-volume set LNCS 14344-14347 constitutes the refereed proceedings of the 28th European Symposium on Research in Computer Security, ESORICS 2023, which took place in The Hague, The Netherlands, during September 25-29, 2023. The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows:Part I: Crypto.Part II: Network, web and internet; privacy; and remote.Part III: Attacks; blockchain; and miscellaneous.Part IV: Machine learning; software and systems security.

The four-volume set LNCS 14344-14347 constitutes the refereed proceedings of the 28th European Symposium on Research in Computer Security, ESORICS 2023, which took place in The Hague, The Netherlands, during September 25-29, 2023. The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions.

The four-volume set LNCS 14344-14347 constitutes the refereed proceedings of the 28th European Symposium on Research in Computer Security, ESORICS 2023, which took place in The Hague, The Netherlands, during September 25-29, 2023. The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions.

The four-volume set LNCS 14344-14347 constitutes the refereed proceedings of the 28th European Symposium on Research in Computer Security, ESORICS 2023, which took place in The Hague, The Netherlands, during September 25-29, 2023. The 93 full papers presented in these proceedings were carefully reviewed and selected from 478 submissions.

This book constitutes the refereed proceedings of the 8th International Conference on Trust and Trustworthy Computing, TRUST 2015, held in Heraklion, Crete, Greece, in August 2015. The 15 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 42 submissions.

This book constitutes the refereed proceedings of the 12th International Conference on Information Systems Security, ICISS 2016, held in Jaipur, India, in December 2016. The 24 revised full papers and 8 short papers presented together with 4 invited papers were carefully reviewed and selected from 196 submissions.

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes.The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with  backgroundsin artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.