Wireless Communication in Cyber Security

Inbunden, Engelska, 2023

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Beskrivning

WIRELESS COMMUNICATION in CYBERSECURITY Presenting the concepts and advances of wireless communication in cybersecurity, this volume, written and edited by a global team of experts, also goes into the practical applications for the engineer, student, and other industry professionals. Rapid advancement in wireless communications and related technologies has led to the use of newer technologies like 6G, Internet of Things (IoT), Radar, and others. Not only are the technologies expanding, but the impact of wireless communication is also changing, becoming an inevitable part of daily life. With increased use comes great responsibilities and challenges for any newer technology. The growing risks in the direction of security, authentication, and encryption are some major areas of concern, together with user privacy and security. We have seen significant development in blockchain technology along with development in a wireless network that has proved extremely useful in solving various security issues. Quite efficient secure cyber-physical systems can be constructed using these technologies. This comprehensive new volume covers the many methods and technologies used in intrusion detection in wireless networks. This book allows readers to reach their solutions using various predictive algorithm-based approaches and some curated real-time protective examples that are defined herein. Artificial intelligence (AI) concepts are devised and proposed for helping readers understand the core concepts of efficiencies of threats, and the parallel solutions are covered. The chapters also state the challenges in privacy and security levels for various algorithms and various techniques and tools are proposed for each challenge. It focuses on providing exposure to readers about data security and privacy for wider domains. The editorial and author team aims to address all possible solutions to the various problems faced in the newer techniques of wireless communications, improving the accuracies and reliability over the possible vulnerabilities and security threats to wireless communications. It is a must have for any engineer, scientist, or other industry professional working in this area.

Produktinformation

Utgivningsdatum:2023-11-01
Vikt:45 g
Format:Inbunden
Språk:Engelska
Antal sidor:288
Förlag:John Wiley & Sons Inc
ISBN:9781119910435

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

S. Sountharrajan, PhD, is an associate professor in the School of Computing Science and Engineering at VIT Bhopal University. He is also the Division Head specializing in artificial intelligence and machine learning. He has published numerous papers in scientific journals and conferences and has delivered 32 guest lectures in reputed universities and institutions. R. Maheswar, PhD, is an associate professor at the School of Electrical & Electronics Engineering, VIT Bhopal University. He has over 18 years of teaching experience at various levels and has published 60 papers at scientific journals and conferences. Geetanjali Rathee, PhD, is an assistant professor in the Department of Computer Science and Engineering at Netaji Subhas University of Technology, New Delhi. She has six patents to her credit and has published over 40 papers in scientific journals and 15 papers at scholarly conferences. She has published book chapters, as well, and one book. She is a regular reviewer of various reputed journals. M. Akila is a professor in computer science. He has delivered 32 lectures at various universities, seminars, and conferences, and he has three patents to his credit. He is deeply involved in industrial and entrepreneurial activities.

Innehållsförteckning

Preface xiii1 BBUCAF: A Biometric-Based User Clustering Authentication Framework in Wireless Sensor Network 1Rinesh, S., Thamaraiselvi, K., Mahdi Ismael Omar and Abdulfetah Abdulahi Ahmed1.1 Introduction to Wireless Sensor Network 21.2 Background Study 31.3 A Biometric-Based User Clustering Authentication Framework 51.4 Experimental Analysis 121.5 Conclusion 162 DeepNet: Dynamic Detection of Malwares Using Deep Learning Techniques 21Nivaashini, M., Soundariya, R. S., Vishnupriya, B. and Tharsanee, R. M.2.1 Introduction 222.2 Literature Survey 242.3 Malware Datasets 282.4 Deep Learning Architecture 292.5 Proposed System 322.6 Result and Analysis 402.7 Conclusion & Future Work 513 State of Art of Security and Risk in Wireless Environment Along with Healthcare Case Study 55Deepa Arora and Oshin Sharma3.1 Introduction 563.2 Literature Survey 583.3 Applications of Wireless Networks 603.4 Types of Attacks 623.5 Active Attacks 633.6 Layered Attacks in WSN 663.7 Security Models 693.8 Case Study: Healthcare 713.9 Minimize the Risks in a Wireless Environment 743.10 Conclusion 764 Machine Learning-Based Malicious Threat Detection and Security Analysis on Software-Defined Networking for Industry 4.0 79J. Ramprasath, N. Praveen Sundra Kumar, N. Krishnaraj and M. Gomathi4.1 Introduction 804.2 Related Works 864.3 Proposed Work for Threat Detection and Security Analysis 894.4 Implementation and Results 964.5 Conclusion 1005 Privacy Enhancement for Wireless Sensor Networks and the Internet of Things Based on Cryptological Techniques 105Karthiga, M., Indirani, A., Sankarananth, S., S. S. Sountharrajan and E. Suganya5.1 Introduction 1065.2 System Architecture 1075.3 Literature Review 1085.4 Proposed Methodology 1125.5 Results and Discussion 1185.6 Analysis of Various Security and Assaults 1225.7 Conclusion 1246 Security and Confidentiality Concerns in Blockchain Technology: A Review 129G. Prabu Kanna, Abinash M.J., Yogesh Kumar, Jagadeesh Kumar and E. Suganya6.1 Introduction 1306.2 Blockchain Technology 1316.3 Blockchain Revolution Drivers 1336.4 Blockchain Classification 1356.5 Blockchain Components and Operation 1386.6 Blockchain Technology Applications 1426.7 Difficulties 1456.8 Conclusion 1457 Explainable Artificial Intelligence for Cybersecurity 149P. Sharon Femi, K. Ashwini, A. Kala and V. Rajalakshmi7.1 Introduction 1507.2 Cyberattacks 1527.3 XAI and Its Categorization 1577.4 XAI Framework 1607.5 Applications of XAI in Cybersecurity 1657.6 Challenges of XAI Applications in Cybersecurity 1697.7 Future Research Directions 1717.8 Conclusion 1718 AI-Enabled Threat Detection and Security Analysis 175A. Saran Kumar, S. Priyanka, V. Praveen and G. Sivapriya8.1 Introduction 1768.2 Literature Survey 1818.3 Proposed Work 1848.4 System Evaluation 1908.5 Conclusion 1959 Security Risks and Its Preservation Mechanism Using Dynamic Trusted Scheme 199Geetanjali Rathee, Akshay Kumar, S. Karthikeyan and N. Yuvaraj9.1 Introduction 2009.2 Related Work 2029.3 Proposed Framework 2059.4 Performance Analysis 2099.5 Results Discussion 2109.6 Empirical Analysis 2129.7 Conclusion 21310 6G Systems in Secure Data Transmission 217A.V.R. Mayuri, Jyoti Chauhan, Abhinav Gadgil, Om Rajani and Soumya Rajadhyaksha10.1 Introduction 21810.2 Evolution of 6G 21910.3 Functionality 22210.4 6G Security Architectural Requirements 23010.5 Future Enhancements 23410.6 Summary 23711 A Trust-Based Information Forwarding Mechanism for IoT Systems 239Geetanjali Rathee, Hemraj Saini, R. Maheswar and M. Akila11.1 Introduction 24011.2 Related Works 24311.3 Estimated Trusted Model 24711.4 Blockchain Network 24811.5 Performance Analysis 25011.6 Results Discussion 25211.7 Empirical Analysis 25311.8 Conclusion 255References 255About the Editors 259Index 261