Intrusion Detection for Electric Vehicle Charging Systems (EVCS)
نویسندگان
چکیده
The market for Electric Vehicles (EVs) has expanded tremendously as seen in the recent Conference of Parties 27 (COP27) held at Sharm El Sheikh, Egypt November 2022. This needs creation an ecosystem that is user-friendly and secure. Internet-connected Vehicle Charging Stations (EVCSs) provide a rich user experience add-on services. Eventually, EVCSs are connected to management system, which Station Management System (EVCSMS). Attacking EVCS remotely via cyberattacks rising same rate physical attacks vandalism happening on EVCSs. cyberattack more severe than attack it may affect thousands time. Intrusion Detection vital defending against diverse types unauthorized activities. Fundamentally, System’s (IDS) problem classification problem. IDS tries determine if each traffic stream legitimate or malicious, is, binary classification. Furthermore, can identify type malicious traffic, called multiclass In this paper, we address IoT security issues by using different machine learning techniques native dataset discover fraudulent EVCSs, not been performed any previous research. We also compare classifier algorithms detecting Distributed Denial Service (DDoS) network environment. A typical Internet Things (IoT) obtained from actual used paper. placed line with contain DDoS targeting network. results research improve stability system significantly reduce number could disrupt daily life activities associated ecosystem.
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ژورنال
عنوان ژورنال: Algorithms
سال: 2023
ISSN: ['1999-4893']
DOI: https://doi.org/10.3390/a16020075