In recent years, wireless networks communication has become the fundamental basis of our work, leisure, and communication life from the early GSM mobile phones to the Internet of Things and Internet of Everything communications. All wireless communications technologies such as Bluetooth, NFC, wireless sensors, wireless LANs, ZigBee, GSM, and others have their own challenges and security threats.
This book addresses some of these challenges focusing on the implication, impact, and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of wireless networks but also the adversarial application of wireless networks and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting, and addressing wireless challenges and threats. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicioususe of the wireless networks if sufficient defenses are not implemented. The research contained in the book fits well into the larger body of work on various aspects of wireless networks and cyber-security.
The book provides a valuable reference for cyber-security experts, practitioners, and network security professionals, particularly those interested in the security of the various wireless networks. It is also aimed at researchers seeking to obtain a more profound knowledge in various types of wireless networks in the context of cyber-security, wireless networks, and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master's degree programs in cyber-security, network security, cyber-terrorism, and computer science who are investigating or evaluating a security of a specific wireless network. Each chapter is written by an internationally-renowned expert who has extensive experience in law enforcement, industry, or academia. Furthermore, this bookblends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
129
32 s/w Abbildungen, 129 farbige Abbildungen
VI, 348 p. 161 illus., 129 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-3-031-33633-1 (9783031336331)
DOI
10.1007/978-3-031-33631-7
Schweitzer Klassifikation
Professor Hamid Jahankhani has taught at both the undergraduate and postgraduate level, full, and part-time and supervised and examined research students at the M.Phil., Ph.D. levels, and Doctorate in Professional Studies (DProf). Hamid's teaching has covered a broad range of computing modules in particular information security management, information security risk and audit, digital forensics, systems design & development, telecommunications and networking, and computer systems. Hamid's principal research area for a number of years has been in the field of information security management and digital forensics.
Dr. Ayman El Hajjar is the course leader of the M.Sc. Cyber-Security and Forensics at the University of Westminster and the head of the Cyber-Security research group. He is the director of studies for several Ph.D. students. He has taught various cyber-security modules both at the undergraduate and the postgraduate levels. His teaching focuses on the practical aspects of cyber-security such as ethical hacking, penetration testing, and vulnerabilities assessments. Ayman's main research is in wireless networks security, the Internet of Things security and using new technologies such as blockchain and AI to improve network environment security. Ayman has been also awarded several UK government KTPs and has an active research portfolio.
1. Key-Pre Distribution for the Internet of Things.- 2. Approaches and Methods for Regulation of Security Risks in 5G and 6G.- 3. Investigating Gesture Control of Smart Cities.- 4. Safety And Security Issues in Employing Drones.- 5. Security Threats of Unmanned Aerial Vehicles.- 6. A Machine Learning Based Approach to Detect Cyber-Attacks on Connected and Autonomous Vehicles (CAVs).- 7. Security and Privacy Concerns in Next-Generation Networks using Artificial Intelligence-based Solutions: A Potential Use Case.- 8. A Blockchain-enabled Approach for Secure Data Sharing in 6G-based Internet of Things Networks.
