Geetam Singh Tomar – författare

This book written for students of electronics and communication, students of computer science and communications engineers addresses topics such as Introduction of CRN, Advanced spectrum sensing techniques, Cooperative sensing techniques, Distributed sensing techniques, Issues in advanced sensing techniques, and Applications of 5G Networks. It provides new algorithms, explores recent results, and evaluates the performance of technologies in use in this area. It also provides new research topics and sensing techniques related to 5G networks for researchers.

This book covers wireless communication, security issues, advanced wireless sensor networks (WSNs), routing protocols of WSNs with cross-layer solutions, emerging trends in the advanced WSNs, power management, distributed sensing and data gathering techniques for WSNs, WSNs security, applications, research of advanced WSNs with simulation results, and simulation tools for WSNs.Features:Covers technologies supporting advanced wireless communication systems, sensor networks, and the conceptual development of the subjectDiscusses advanced data gathering and sharing/ distributed sensing techniques with its business applicabilityIncludes numerous worked-out mathematical equations and formulas, as well as essential principles including figures, illustrations, algorithms, and flow chartsProvides pervasive background knowledge including both wireless communications and WSNsCovers wireless networks as well as sensor network models in detailThis book is aimed at graduate students, researchers, and academics working in the field of computer science, wireless communication technology, and advanced WSNs.

This book covers wireless communication, security issues, advanced wireless sensor networks (WSNs), routing protocols of WSNs with cross-layer solutions, emerging trends in the advanced WSNs, power management, distributed sensing and data gathering techniques for WSNs, WSNs security, applications, research of advanced WSNs with simulation results, and simulation tools for WSNs.Features:Covers technologies supporting advanced wireless communication systems, sensor networks, and the conceptual development of the subjectDiscusses advanced data gathering and sharing/ distributed sensing techniques with its business applicabilityIncludes numerous worked-out mathematical equations and formulas, as well as essential principles including figures, illustrations, algorithms, and flow chartsProvides pervasive background knowledge including both wireless communications and WSNsCovers wireless networks as well as sensor network models in detailThis book is aimed at graduate students, researchers, and academics working in the field of computer science, wireless communication technology, and advanced WSNs.

Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks.Key Features:Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymizationInvestigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilitiesDiscusses advanced software design for privacy preservation in big data environmentsCovers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of ThingsHighlights AI applications in cloud security, data integrity, and privacy protectionIntroduces Quantum Machine Learning algorithms and their relevance to cyber securityExplores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migrationIncludes real-world scenarios and methodologies, bridging the gap between academic research and industry practiceOffers forward-looking insights into the role of AI in future cyber security challenges and solutions

Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks.Key Features:Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymizationInvestigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilitiesDiscusses advanced software design for privacy preservation in big data environmentsCovers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of ThingsHighlights AI applications in cloud security, data integrity, and privacy protectionIntroduces Quantum Machine Learning algorithms and their relevance to cyber securityExplores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migrationIncludes real-world scenarios and methodologies, bridging the gap between academic research and industry practiceOffers forward-looking insights into the role of AI in future cyber security challenges and solutions

This book gathers high-quality research papers presented at the First International Conference, ICSC 2019, organised by THDC Institute of Hydropower Engineering and Technology, Tehri, India, from 20 to 21 April 2019. The book is divided into two major sections – Intelligent Computing and Smart Communication. Some of the areas covered are Parallel and Distributed Systems, Web Services, Databases and Data Mining Applications, Feature Selection and Feature Extraction, High-Performance Data Mining Algorithms, Knowledge Discovery, Communication Protocols and Architectures, High-speed Communication, High-Voltage Insulation Technologies, Fault Detection and Protection, Power System Analysis, Embedded Systems, Architectures, Electronics in Renewable Energy, CAD for VLSI, Green Electronics, Signal and Image Processing, Pattern Recognition and Analysis, Multi-Resolution Analysis and Wavelets, 3D and Stereo Imaging, and Neural Networks.