Masquerade Attack

Masquerade attacks involve malicious actors injecting false data into a system, mimicking legitimate messages to evade detection. Current research focuses on developing robust intrusion detection systems (IDS) for various applications, including vehicular networks (like CAN buses) and video data, employing techniques such as graph machine learning, time series analysis, and hierarchical clustering to identify subtle anomalies in data patterns. These efforts aim to improve the security of critical systems by enhancing the ability to detect and respond to these sophisticated attacks, with implications for automotive safety and patient data privacy.