Tanupriya Choudhury - Böcker

Information Security and Optimization maintains a practical perspective while offering theoretical explanations. The book explores concepts that are essential for academics as well as organizations. It discusses aspects of techniques and tools—definitions, usage, and analysis—that are invaluable for scholars ranging from those just beginning in the field to established experts. What are the policy standards? What are vulnerabilities and how can one patch them? How can data be transmitted securely? How can data in the cloud or cryptocurrency in the blockchain be secured? How can algorithms be optimized? These are some of the possible queries that are answered here effectively using examples from real life and case studies.Features: A wide range of case studies and examples derived from real-life scenarios that map theoretical explanations with real incidents. Descriptions of security tools related to digital forensics with their unique features, and the working steps for acquiring hands-on experience. Novel contributions in designing organization security policies and lightweight cryptography. Presentation of real-world use of blockchain technology and biometrics in cryptocurrency and personalized authentication systems. Discussion and analysis of security in the cloud that is important because of extensive use of cloud services to meet organizational and research demands such as data storage and computing requirements.Information Security and Optimization is equally helpful for undergraduate and postgraduate students as well as for researchers working in the domain. It can be recommended as a reference or textbook for courses related to cybersecurity.

Information Security and Optimization maintains a practical perspective while offering theoretical explanations. The book explores concepts that are essential for academics as well as organizations. It discusses aspects of techniques and tools—definitions, usage, and analysis—that are invaluable for scholars ranging from those just beginning in the field to established experts. What are the policy standards? What are vulnerabilities and how can one patch them? How can data be transmitted securely? How can data in the cloud or cryptocurrency in the blockchain be secured? How can algorithms be optimized? These are some of the possible queries that are answered here effectively using examples from real life and case studies.Features: A wide range of case studies and examples derived from real-life scenarios that map theoretical explanations with real incidents. Descriptions of security tools related to digital forensics with their unique features, and the working steps for acquiring hands-on experience. Novel contributions in designing organization security policies and lightweight cryptography. Presentation of real-world use of blockchain technology and biometrics in cryptocurrency and personalized authentication systems. Discussion and analysis of security in the cloud that is important because of extensive use of cloud services to meet organizational and research demands such as data storage and computing requirements.Information Security and Optimization is equally helpful for undergraduate and postgraduate students as well as for researchers working in the domain. It can be recommended as a reference or textbook for courses related to cybersecurity.

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: An Interdisciplinary Approach to Risk Reduction presents a comprehensive examination of innovative geospatial methods utilized to address the challenges posed by climate change across various sectors. The book encompasses a wide array of topics, including the application of remote sensing in agriculture, urban climate change mitigation, and the evaluation of land use effects on surface temperatures. It highlights the integration of advanced technologies such as machine learning and satellite imagery to enhance drought risk mapping, deforestation detection, and flood prediction, providing valuable insights into environmental sustainability. Moreover, the text emphasizes participatory approaches and the role of local communities in climate resilience. By synthesizing interdisciplinary perspectives, the book underscores the importance of collaborative efforts in developing effective mitigation and adaptation strategies. Ultimately, this work serves as a vital resource for researchers and practitioners committed to leveraging geospatial techniques for effective climate change risk reduction and environmental management.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Emphasizes an interdisciplinary approach to climate change impacts, risk reduction, and mitigation strategiesHighlights the role of geospatial data, methods, and tools in monitoring climate change with advanced techniques in remote sensing and spatial analysisExamines practical applications of geospatial techniques and machine learning techniques in risk management

Air Quality Monitoring and Management Using Sensors, Volume Nine offers a comprehensive overview of the latest advancements in air pollution monitoring technologies. With contributions from leading experts, the book discusses sensor innovations, data analysis, and practical applications. It addresses the needs and challenges of air pollution monitoring and management, highlighting recent progress in calibration and validation of sensors, and the use of portable and wearable devices for personal exposure monitoring and indoor air quality assessment.Sections explore remote sensing techniques, smart sensor networks integration, IoT applications, and advanced data analysis tools for tackling air pollution. It covers sensor applications for detecting pollutants such as nitrogen oxide, carbon monoxide, and particulate matter. Additionally, it examines emission control technologies and the development of detection systems for various pollutants, including sulfur oxide and nitrogen oxide. Future trends and successful case studies showcase the implementation of these sensors in environmental monitoring and remediation efforts.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Provides a thorough exploration of air pollution sensor innovations, monitoring technologies, and real-world applicationsExamines the latest advancements in sensor technologies and data analysis methodsOffers readers insight into cutting-edge tools and techniques for accurate and efficient air quality assessmentPresents a multidisciplinary understanding of air pollution dynamics, including environmental science, atmospheric science, chemistry, and engineering

Geospatial Techniques in Climate Change Monitoring and Environmental Mapping: Advances and Applications, Volume Ten delves into the novel methods and applications of remote sensing in climate-change studies. The book begins by exploring climate observation and monitoring, consolidating remote sensing data systems for environmental mapping, and tracking air pollution using remote sensing data. The volume covers the use of remote sensing data for monitoring and predicting climate change, characterizing land changes with climate time series data, and tracking climate change and tropical cyclones with geospatial techniques.It also discusses the system dynamics model of economic development and climate change, as well as climate change mitigation, adaptation, and future directions. Additionally, it addresses climate modeling, validation, uncertainty mapping, and the application of remote sensing data in government climate policies and sustainable risk reduction approaches for global climate change issues.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Integrates the latest advancements in sensor technologies and data analysis methods, offering readers insights into the management of climate risks and hazards as well as adaptation strategiesProvides an interdisciplinary understanding of climate change challenges and solutions by gathering high-quality contributions from scientific, social, economic, political, and cultural perspectivesExamines potential responses to climate change hazards and how to implement strategies in various sectors, considering vulnerability and exposure factors and addressing the social, economic, political, and cultural dimensions of climate change

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

Advanced Investigation Strategies for IoT Forensics: Technical Solutions to Security and Investigative Methodologies in IoT Forensics is an edited book that explores the crossroads of digital forensics and the Internet of Things. The book offers a one-stop solution to understanding forensic mechanisms, security weaknesses, and privacy issues in IoT ecosystems. Spanning core theories, applied case studies, and new approaches—such as AI, blockchain, and memory forensics—the book is an essential handbook for researchers, practitioners, and students. From the international subject matter expert community, it presents a visionary summary of the future trends and ethical issues in IoT forensic analysis.FeaturesExamines forensic investigation techniques focused on IoT devices and IoT systems.Examines identification, data gathering, preservation, and evidence analysis tools and techniques in IoT systems.Examines encryption algorithms, covert channel discovery, and privacy-preserving mechanisms.Applies forensic case scenarios in healthcare, smart cities, and industrial control systems from real-world situations.Addresses the ethical, legal, and compliance perspective of IoT forensics from a worldwide viewpoint.Emphasizes trends such as AI, blockchain adoption, and edge computing, introducing the model for the development of forensic procedures.The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.

The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis. • Explores the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, and transfer learning.Discusses the realm of voice assistants, exploring how artificial intelligence enhances natural language processing and voice recognition capabilities and revolutionizes human-computer interaction paradigms.Provides insights into how deep learning, neural networks, machine learning, and data science intersect with broader ethical considerations, addressing issues such as transparency, and societal impact.Covers human-artificial intelligence collaboration and healthcare applications of artificial intelligence and data analytics.Explains generative adversarial networks and advanced techniques in recommender systems.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

The world is experiencing an unprecedented period of change and growth through all the electronic and technilogical developments and everyone on the planet has been impacted.  What was once ‘science fiction’, today it is a reality.This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail.  Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc.  An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

The book presents a suite of innovative tools to reshape society into an interconnected future where technology empowers humans to efficiently resolve pressing socio-economic issues while fostering inclusive growth. This book introduces a spectrum of pioneering advancements across various sectors within Society 5.0, all underpinned by cutting-edge technological innovations. It aims to deliver an exhaustive collection of contemporary concepts, practical applications, and groundbreaking implementations that have the potential to enhance diverse areas of society. Society 5.0 signifies human advancement and is distinguished by its unique synthesis of cyberspace with physical space. This integration harnesses data gathered via environmental sensors, processed by artificial intelligence, to enhance real-world interactions. This volume encompasses an extensive array of scholarly works with detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and analyses based on voice and gestures. The content presented will be beneficial to multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices. In summary, Cyber-Physical Systems for Innovating and Transforming Society 5.0 presents a suite of innovative tools to reshape society into an interconnected future where technology empowers humans to efficiently resolve pressing socio-economic issues while fostering inclusive growth. Audience The book will be beneficial to researchers, engineers, and students in multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices.

The book provides invaluable insights into cutting-edge advancements across multiple sectors of Society 5.0, where contemporary concepts and interdisciplinary applications empower you to understand and engage with the transformative technologies shaping our future. Distributed Time-Sensitive Systems offers a comprehensive array of pioneering advancements across various sectors within Society 5.0, underpinned by cutting-edge technological innovations. This volume delivers an exhaustive selection of contemporary concepts, practical applications, and groundbreaking implementations that stand to enhance diverse facets of societal life. The chapters encompass detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and voice and gesture recognition and feature interdisciplinary approaches spanning legal frameworks, medical systems, intelligent urban development, integrated cyber-physical systems infrastructure, and advanced agricultural practices. The groundbreaking transformations triggered by the Industry 4.0 paradigm have dramatically reshaped the requirements for control and communication systems in the factory systems of the future. This revolution strongly affects industrial smart and distributed measurement systems, pointing to more integrated and intelligent equipment devoted to deriving accurate measurements. This volume explores critical cybersecurity analysis and future research directions for the Internet of Things, addressing security goals and solutions for IoT use cases. The interdisciplinary nature and focus on pioneering advancements in distributed time-sensitive systems across various sectors within Society 5.0 make this thematic volume a unique and valuable contribution to the current research landscape. Audience Researchers, engineers, and computer scientists working with integrations for industry in Society 5.0

This book explores the core principles, technological advancements, and legal challenges of Industry 5.0’s digital transformation. Industry 5.0 has enhanced the operational efficiency of the entire manufacturing process by incorporating multiple emerging technologies; however, high-tech cybercrimes have prompted legal scholars worldwide to rethink the fundamental principles of technology and law. The Techno-Legal Dynamics of Cyber Crimes in Industry 5.0 shows how advanced technologies, such as artificial intelligence, the Internet of Things, and robotics, are integrated within manufacturing environments. It explores the intricate relationship between legal systems and technological advancements and addresses the rise of cybercrime following Industry 5.0’s digital transformation. Focusing on the interaction between technology and law, the book investigates current cyberlaw issues and solutions. It draws insights from diverse experts, including scholars, legal professionals, and industry leaders, emphasizing effective regulations to minimize cyber threat risks for Industry 5.0. By adopting an international viewpoint, this book sheds light on various dimensions of nascent cybercrimes and legislative efforts worldwide aimed at governing them effectively. AudienceThis book should be read by legal scholars, lawyers, judges, legal and information technology researchers, cybersecurity experts, computer and software engineers, and students of law and technology. Regulators, policymakers, international trade specialists, and business executives should read it as well.

Wireless Sensor Networks and the Internet of Things: Future Directions and Applications explores a wide range of important and real-time issues and applications in this ever-advancing field. Different types of WSN and IoT technologies are discussed in order to provide a strong framework of reference, and the volume places an emphasis on solutions to the challenges of protection, conservation, evaluation, and implementation of WSN and IoT that lead to low-cost products, energy savings, low carbon usage, higher quality, and global competitiveness.The volume is divided into four sections that cover:Wireless sensor networks and their relevant applicationsSmart monitoring and control systems with the Internet of ThingsAttacks, threats, vulnerabilities, and defensive measures for smart systemsResearch challenges and opportunitiesThis collection of chapters on an important and diverse range of issues presents case studies and applications of cutting-edge technologies of WSN and IoT that will be valuable for academic communities in computer science, information technology, and electronics, including cyber security, monitoring, and data collection. The informative material presented here can be applied to many sectors, including agriculture, energy and power, resource management, biomedical and health care, business management, and others.

Wireless Sensor Networks and the Internet of Things: Future Directions and Applications explores a wide range of important and real-time issues and applications in this ever-advancing field. Different types of WSN and IoT technologies are discussed in order to provide a strong framework of reference, and the volume places an emphasis on solutions to the challenges of protection, conservation, evaluation, and implementation of WSN and IoT that lead to low-cost products, energy savings, low carbon usage, higher quality, and global competitiveness.The volume is divided into four sections that cover:Wireless sensor networks and their relevant applicationsSmart monitoring and control systems with the Internet of ThingsAttacks, threats, vulnerabilities, and defensive measures for smart systemsResearch challenges and opportunitiesThis collection of chapters on an important and diverse range of issues presents case studies and applications of cutting-edge technologies of WSN and IoT that will be valuable for academic communities in computer science, information technology, and electronics, including cyber security, monitoring, and data collection. The informative material presented here can be applied to many sectors, including agriculture, energy and power, resource management, biomedical and health care, business management, and others.

This book pioneers the synergy between state-of-the-art edge computing technologies and the power of operations research. It comprehensively explores real-world applications, demonstrating how various operations' research techniques enhance edge computing’s efficiency, reliability and resource allocation. Innovative solutions for dynamic task scheduling, load balancing and data management, all tailored to the unique challenges of edge environments, are displayed.Starting with operation research methodologies with foundations, applications and research challenges in edge computing and an overview of digital education, this book continues with an exploration of applications in the health sector using IoT, intelligent payment procedures and performance measurement of edge computing, using edge computing and operation research. Smart or AI-based applications are also explored further on and the book ends with insight into ultralightweight and security protocols with solutions for IoT using blockchain.

Blockchain is new-age technology used to track every transaction using cryptocurrency across servers linked in a peer-to-peer network, enabling transactions to be secure, transparent and reliable. Retaining an efficient, secure and patient-centric healthcare industry has never been so important, especially due to the damaging effects of the Covid-19 pandemic. The applicability of Blockchain in the healthcare domain can be seen as a remarkable opportunity for researchers and scientists to solve real-world problems.This book focuses on the fundamentals of Blockchain technology along with the methods of its integration with the healthcare industry. It also provides an enhanced understanding of Blockchain technology, AI and IoT across the various application areas of the healthcare industry. Furthermore, throughout the book, areas of relevant applications, such as patient data privacy protection, pharmaceutical supply chains and genomics are discussed.

This book focuses on the fundamentals of blockchain technology along with the means and methods of its integration with Internet of Things (IoT). The book allows the reader to have a deeper understanding of blockchain technology, IoT and various application areas wherein both technologies can be implemented. The book serves the purpose of providing knowledge about the fundamentals of blockchain and IoT to a common reader along with allowing a research scholar to identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discuss relevant application areas such as smart city, e-healthcare, smart travel, etc. throughout the course of the book. The book also talks through a few case studies illustrating the implementation and benefits of using blockchain and IoT. Provides a comprehensive view of blockchain technology and its integration with IoT;Facilitates in having a valuable understanding ofvarious application areas pertaining to blockchain and IoT;Assists the reader in exploring new research areas wherein blockchain and IoT can find their applicability based upon their list of benefits.

This book focuses on the fundamentals of blockchain technology along with the means and methods of its integration with Internet of Things (IoT). The book allows the reader to have a deeper understanding of blockchain technology, IoT and various application areas wherein both technologies can be implemented. The book serves the purpose of providing knowledge about the fundamentals of blockchain and IoT to a common reader along with allowing a research scholar to identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discuss relevant application areas such as smart city, e-healthcare, smart travel, etc. throughout the course of the book. The book also talks through a few case studies illustrating the implementation and benefits of using blockchain and IoT. Provides a comprehensive view of blockchain technology and its integration with IoT;Facilitates in having a valuable understanding ofvarious application areas pertaining to blockchain and IoT;Assists the reader in exploring new research areas wherein blockchain and IoT can find their applicability based upon their list of benefits.

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity.

This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity.

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making.

This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making.

Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology.