Autonomous Revolution: Strategies, Threats and Challenges
暫譯: 自主革命：策略、威脅與挑戰
Chaudhry, Umair B., Jahankhani, Hamid
相關主題
商品描述
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.
商品描述(中文翻譯)
本書深入探討快速發展的自動駕駛車輛世界及其在現代數據收集和關鍵任務操作中的重要角色。從在複雜城市環境中導航的無人車輛（UVs）到穿越偏遠地區，先進算法與雲端基礎設施的整合使得實時數據獲取和處理成為可能。涵蓋的主題包括韌性導航系統、生物啟發的演化以促進更安全的協作，以及面臨的土地、空中和海上無人車輛的治理和安全挑戰。此外，本書還探討了新興威脅，如網絡物理漏洞、反無人機技術，以及對安全的飛行自組網（FANETs）的需求。未來的無人車輛還將通過量子計算的視角進一步探討，推動自動導航和決策的邊界。
通過將這些分散且重要的主題彙編成一個資源，本書成為專業人士、研究人員和政策制定者理解和塑造自動系統未來的重要參考。
作者簡介
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.
作者簡介(中文翻譯)
教授 Jahankhani 在本科和研究生階段均有教學經驗，無論是全職還是兼職，並且指導和考核過碩士（MPhil）、博士（PhD）及專業研究博士（DProf）層級的研究生。Hamid 的教學涵蓋了廣泛的計算機模組，特別是資訊安全管理、資訊安全風險與審計、數位取證、系統設計與開發、電信與網路、計算機系統。Hamid 多年來的主要研究領域為資訊安全管理和數位取證。
Dr. Umair B. Chaudhry 是一位受人尊敬的學者，擁有倫敦女王瑪莉大學的博士學位，並曾擔任該校的研究和教學研究員。目前，他在倫敦的諾森比亞大學教授網路安全、安全工程和網路工程方面的專業知識。Dr. Chaudhry 的研究重點在於自主領域，特別是針對無人機（UAV）在移動自組網中有效數據檢索的優化。除了在自主系統方面的專業知識外，他在物聯網（IoT）和無線網路方面也擁有豐富的經驗，解決通信和安全挑戰。此外，Dr. Chaudhry 積極探索機器學習和人工智慧的整合，以提升生產力，並在區塊鏈和加密貨幣方面進行創新工作。
