Muutke küpsiste eelistusi

Autonomous Revolution: Strategies, Threats and Challenges [Kõva köide]

  • Formaat: Hardback, 306 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 20 Illustrations, black and white; XII, 306 p. 158 illus., 138 illus. in color., 1 Hardback
  • Sari: Advanced Sciences and Technologies for Security Applications
  • Ilmumisaeg: 24-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303196781X
  • ISBN-13: 9783031967818
  • Kõva köide
  • Hind: 169,14 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 198,99 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 306 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 20 Illustrations, black and white; XII, 306 p. 158 illus., 138 illus. in color., 1 Hardback
  • Sari: Advanced Sciences and Technologies for Security Applications
  • Ilmumisaeg: 24-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303196781X
  • ISBN-13: 9783031967818
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.
A Security analysis of the vulnerabilities of drones that use the IEEE
802.11 (Wi-Fi) standard by using simple hacking techniques, with poor
governance procedures.- Effect of open-source tools on Commercial Off The
Shelf (COTS) small Unmanned Aerial Systems (sUAS) that use WiFi 802.11
transmission system.- Unmanned autonomous vehicles for emergency response and
disaster relief.- Self-Piloted Unmanned Vehicles in the Quantum Realm.- The
future cyber threat from drones against the United Kingdoms Key Assets.-
Policy and Compliance: Regulatory Perspective for Autonomous Aerial and
Surface Operations.- How can existing cyber frameworks be better implemented
to ensure operational resilience within the UK aviation industry in the event
of a cyber-attack against its mission critical, satellite-based services?.-
Compatibility of Blockchains in the Internet of Vehicles.- Securing Systems
from Aerial Threats: Cybersecurity in the Drone Era.
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). Hamids 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. Hamids 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. Chaudhrys 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.