DDoS Attack Dataset (CICEV2023) against EV Authentication in Charging Infrastructure
Yoonjib Kim, Saqib Hakak, Ali A. Ghorbani
Abstract
Denial-of-Service (DoS) or Distributed DoS (DDoS) attacks are on the rise in smart grid-based electric vehicle (EV) charging facilities. To develop effective mitigation solutions against such attacks, a dataset containing different attack scenarios is of vital importance. There is no such comprehensive dataset available as of now. To fill this research gap, in this work, we have created a new dataset, namely CICEV2023, which contains four different attack scenarios on EVs within smart grid infrastructure. To achieve this, we developed a simulator that establishes an authentication protocol on EV charging infrastructure and launches DDoS attacks related to EV authentication.
Topics & Concepts
Denial-of-service attackAuthentication (law)Computer scienceComputer securitySmart gridGridProtocol (science)Service (business)Computer networkThe InternetEngineeringWorld Wide WebBusinessPathologyAlternative medicineMarketingMedicineGeometryElectrical engineeringMathematicsSmart Grid Security and ResilienceVehicular Ad Hoc Networks (VANETs)Advanced Malware Detection Techniques