| 자료유형 | E-Book |
|---|---|
| 개인저자 | Alruwaili, Ahmed, author. Islam, Sardar M. N., 1950-, author. Gondal, Iqba?l, author. |
| 서명/저자사항 | Cybersecurity in Robotic Autonomous Vehicles :Machine Learning Applications to Detect Cyber Attacks /Ahmed Alruwaili, Sardar M. N. Islam, Iqbal Gondal. |
| 판사항 | First edition. |
| 발행사항 | Boca Raton : CRC Press, Taylor & Francis Group, 2025. |
| 형태사항 | 1 online resource (106 pages) : illustrations. |
| 소장본 주기 | OCLC control number change |
| ISBN | 9781003610908 1003610900 9781040358696 1040358691 9781040358702 1040358705 |
| 기타표준부호 | 10.1201/9781003610908doi |
| 내용주기 | 1. Introduction. 2. Theoretical Lens. 3. Exploring CAN Bus Security: Insights and Analysis. 4. Research Design. 5. Results and Discussion. 6. Conclusions and Future Research. |
| 요약 | Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs.The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents. |
| 일반주제명 | Computer security. Automated vehicles. |
| 언어 | 영어 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=4112921 |
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00030982 | 005.8 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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