基于深度学习的自动驾驶汽车GPS入侵检测方法

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Electronic Security and Digital Forensics Pub Date : 2022-01-01 DOI:10.1504/ijesdf.2022.10043326

Boughanja Manale, T. Mazri

引用次数: 2

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intrusion detection method for GPS based on deep learning for autonomous vehicle

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来源期刊

International Journal of Electronic Security and Digital Forensics COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

1.80

自引率

50.00%

发文量

期刊介绍： IJESDF aims to establish dialogue in an ideal and unique setting for researchers and practitioners to have a knowledge resource, report and publish scholarly articles and engage in debate on various security related issues, new developments and latest proven methodologies in the field of electronic security and digital forensics. This includes the measures governments must take to protect the security of information on the Internet, the implications of cyber-crime in large corporations and individuals, vulnerability research, zero day attacks, digital forensic investigation, ethical hacking, anti-forensics, identity fraud, phishing, pharming, and relevant case studies and “best practice" on tackling cyber crime.