Autonomous Revolution: Strategies, Threats and Challenges

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· Springer Nature
E-Book
306
Seiten
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Über dieses E-Book

This book offers a comprehensive dive into the rapidly evolving world of autonomous vehicles and their pivotal role in modern data collection and mission-critical operations. From unmanned vehicles (UVs) navigating complex urban landscapes to traversing remote environments, the integration of advanced algorithms and cloud-based infrastructure enables real-time data acquisition and processing. Topics covered include resilient navigation systems, bio-inspired evolution for safer collaboration, and the crucial governance and security challenges facing land, air, and sea-based UVs. Additionally, the book explores emerging threats, such as cyber-physical vulnerabilities, counter-drone technologies, and the need for secure Flying Ad-Hoc Networks (FANETs). The future of UVs is further examined through the lens of quantum computing, pushing the boundaries of autonomous navigation and decision-making.

By compiling these scattered and essential topics into one resource, this book serves as a vital reference for professionals, researchers, and policymakers seeking to understand and shape the future of autonomous systems.

Autoren-Profil

Prof Jahankhani has taught at both the undergraduate and postgraduate level, full and part-time and supervised and examined research students at the MPhil, PhD 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, 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. Umair B. Chaudhry is an esteemed academic with a PhD from Queen Mary University of London, where he also served as a research and teaching fellow. Currently, he imparts his expertise in cybersecurity, security engineering, and network engineering at Northumbria University London. Dr. Chaudhry’s research focuses on the autonomous domain, particularly the optimization of unmanned aerial vehicles (UAVs) for effective data retrieval in mobile ad-hoc networks. In addition to his expertise in autonomous systems, he has extensive experience in Internet of Things (IoT) and wireless networks, tackling both communication and security challenges. Moreover, Dr. Chaudhry actively explores the integration of machine learning and artificial intelligence for productivity enhancements, alongside innovative work in blockchain and cryptocurrency.

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