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IEEE/ICACT20250208 Slide.04        [Big Slide]	Oral Presentation
	The literature on Electric Vehicle (EV) systems cybersecurity highlights the increasing integration of advanced algorithms for navigation, sensors, actuators, and energy management, which are vulnerable to cyberattacks. Key studies focus on the susceptibility of EV systems to threats like False Data Injection (FDA) and Denial of Service (DoS) attacks, which can disrupt navigation and control, leading to accidents and reduced efficiency1 2 . Research also explores various robust algorithms, such as the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF), to enhance the resilience of EV systems against these attacks . These studies provide valuable insights into the impact of cyberattacks on EV systems and the effectiveness of different algorithms in improving accuracy, safety, and efficiency.

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