Gururaj H L – författare

The Social Internet of Things (SIoT) has become a hot topic in academic research. It employs the theory of social networks into the different levels of the Internet of Things (IoTs) and has brought new possibilities for the development of IoTs. Essentially, the SIoT is a subset of IoTs. It uses intelligent hardware and humans as the node, a social network as the organization type, the social relationship between things, things and humans, and between humans, formatting research methods and models with social network characteristics to realize the connection, service, and application of the IoTs.

Moreover, SIoT is a form of realization of technology, architecture, and application of the IoTs using social network research methods. It further promotes the integration between real-world and virtual cyberspace, contributes the realization of the IoTs, expands the research scope of the social networking, and provides a new solution for the specific problems of the IoTs. Consequently, there is a tremendous need for researchers to have a comprehensive knowledge of the advances in SIoT.

This special issue is soliciting scientific research papers that can present a snapshot of the latest research status of SIoT.

The Social Internet of Things (SIoT) has become a hot topic in academic research. It employs the theory of social networks into the different levels of the Internet of Things (IoTs) and has brought new possibilities for the development of IoTs. Essentially, the SIoT is a subset of IoTs. It uses intelligent hardware and humans as the node, a social network as the organization type, the social relationship between things, things and humans, and between humans, formatting research methods and models with social network characteristics to realize the connection, service, and application of the IoTs.

Moreover, SIoT is a form of realization of technology, architecture, and application of the IoTs using social network research methods. It further promotes the integration between real-world and virtual cyberspace, contributes the realization of the IoTs, expands the research scope of the social networking, and provides a new solution for the specific problems of the IoTs. Consequently, there is a tremendous need for researchers to have a comprehensive knowledge of the advances in SIoT.

This special issue is soliciting scientific research papers that can present a snapshot of the latest research status of SIoT.

This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management.

The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.

This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management.

The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.

In today’s digitally interconnected world, the threat landscape has evolved to include not just sophisticated technical exploits but also the art of human manipulation. Social engineering attacks have emerged as a formidable and often underestimated threat to information security. The primary aim of this textbook is to provide a comprehensive and in-depth exploration of social engineering attacks. The book seeks to equip cybersecurity professionals, IT practitioners, students, and anyone concerned with information security with the knowledge and tools needed to recognize, prevent, and mitigate the risks posed by social engineering. The scope of this textbook is broad and multifaceted. It covers a wide range of social engineering attack vectors, including phishing, vishing, pretexting, baiting, tailgating, impersonation, and more. Each attack vector is dissected, with detailed explanations of how they work, real-world examples, and countermeasures.

Key Features

• Comprehensive Coverage: Thorough exploration of various social engineering attack vectors, including phishing, vishing, pretexting, baiting, quid pro quo, tailgating, impersonation, and more.

• Psychological Insights: In-depth examination of the psychological principles and cognitive biases that underlie social engineering tactics. • Real-World Case Studies: Analysis of real-world examples and high-profile social engineering incidents to illustrate concepts and techniques.

• Prevention and Mitigation: Practical guidance on how to recognize, prevent, and mitigate social engineering attacks, including security best practices.

• Ethical Considerations: Discussion of ethical dilemmas and legal aspects related to social engineering that emphasizes responsible use of knowledge.

This comprehensive textbook on social engineering attacks provides a deep and practical exploration of this increasingly prevalent threat in cybersecurity. It covers a wide array of attack vectors, including phishing, vishing, pretexting, and more, offering readers an in-depth understanding of how these attacks work. The book delves into the psychology behind social engineering and examines the cognitive biases and emotional triggers that make individuals susceptible. Real-world case studies illustrate concepts and techniques while practical guidance equips readers with the knowledge to recognize, prevent, and mitigate social engineering threats.

In today’s digitally interconnected world, the threat landscape has evolved to include not just sophisticated technical exploits but also the art of human manipulation. Social engineering attacks have emerged as a formidable and often underestimated threat to information security. The primary aim of this textbook is to provide a comprehensive and in-depth exploration of social engineering attacks. The book seeks to equip cybersecurity professionals, IT practitioners, students, and anyone concerned with information security with the knowledge and tools needed to recognize, prevent, and mitigate the risks posed by social engineering. The scope of this textbook is broad and multifaceted. It covers a wide range of social engineering attack vectors, including phishing, vishing, pretexting, baiting, tailgating, impersonation, and more. Each attack vector is dissected, with detailed explanations of how they work, real-world examples, and countermeasures.

Key Features

• Comprehensive Coverage: Thorough exploration of various social engineering attack vectors, including phishing, vishing, pretexting, baiting, quid pro quo, tailgating, impersonation, and more.

• Psychological Insights: In-depth examination of the psychological principles and cognitive biases that underlie social engineering tactics. • Real-World Case Studies: Analysis of real-world examples and high-profile social engineering incidents to illustrate concepts and techniques.

• Prevention and Mitigation: Practical guidance on how to recognize, prevent, and mitigate social engineering attacks, including security best practices.

• Ethical Considerations: Discussion of ethical dilemmas and legal aspects related to social engineering that emphasizes responsible use of knowledge.

This comprehensive textbook on social engineering attacks provides a deep and practical exploration of this increasingly prevalent threat in cybersecurity. It covers a wide array of attack vectors, including phishing, vishing, pretexting, and more, offering readers an in-depth understanding of how these attacks work. The book delves into the psychology behind social engineering and examines the cognitive biases and emotional triggers that make individuals susceptible. Real-world case studies illustrate concepts and techniques while practical guidance equips readers with the knowledge to recognize, prevent, and mitigate social engineering threats.

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems. It compiles cutting-edge studies, innovative methodologies, and practical applications presented at the conference ICCIIS 2024.

The book delves into several core areas of modern computing and intelligent information systems. Key topics include artificial intelligence, exploring machine learning algorithms and neural networks; information systems and robotic process automation, highlighting efficient business process automation strategies; and signal, image, and video processing, focusing on innovative techniques for multimedia analysis. Big data analytics is also covered with insights into data mining and predictive analytics. Cloud computing and cybersecurity are explored, emphasizing secure, scalable solutions for data storage and protection. The Internet of Things (IoT) is examined for its impact on interconnected devices and smart systems. Additionally, the book explores advanced computing and intelligent networks, addressing the development of high-performance computing systems and sophisticated network architectures.

This book is intended for academics, researchers, and professionals in the fields of computing and information systems, as well as students pursuing advanced studies in these areas. It is also a valuable resource for industry practitioners seeking to stay abreast of the latest trends and innovations in AI, big data, and cybersecurity.

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems. It compiles cutting-edge studies, innovative methodologies, and practical applications presented at the conference ICCIIS 2024.

The book delves into several core areas of modern computing and intelligent information systems. Key topics include artificial intelligence, exploring machine learning algorithms and neural networks; information systems and robotic process automation, highlighting efficient business process automation strategies; and signal, image, and video processing, focusing on innovative techniques for multimedia analysis. Big data analytics is also covered with insights into data mining and predictive analytics. Cloud computing and cybersecurity are explored, emphasizing secure, scalable solutions for data storage and protection. The Internet of Things (IoT) is examined for its impact on interconnected devices and smart systems. Additionally, the book explores advanced computing and intelligent networks, addressing the development of high-performance computing systems and sophisticated network architectures.

This book is intended for academics, researchers, and professionals in the fields of computing and information systems, as well as students pursuing advanced studies in these areas. It is also a valuable resource for industry practitioners seeking to stay abreast of the latest trends and innovations in AI, big data, and cybersecurity.

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems. It compiles cutting-edge studies, innovative methodologies, and practical applications presented at the conference ICCIIS 2024.

The book delves into several core areas of modern computing and intelligent information systems. Key topics include artificial intelligence, exploring machine learning algorithms and neural networks; information systems and robotic process automation, highlighting efficient business process automation strategies; and signal, image, and video processing, focusing on innovative techniques for multimedia analysis. Big data analytics is also covered with insights into data mining and predictive analytics. Cloud computing and cybersecurity are explored, emphasizing secure, scalable solutions for data storage and protection. The Internet of Things (IoT) is examined for its impact on interconnected devices and smart systems. Additionally, the book explores advanced computing and intelligent networks, addressing the development of high-performance computing systems and sophisticated network architectures.

This book is intended for academics, researchers, and professionals in the fields of computing and information systems, as well as students pursuing advanced studies in these areas. It is also a valuable resource for industry practitioners seeking to stay abreast of the latest trends and innovations in AI, big data, and cybersecurity.