LIDAR: Adaptable Intrusion Detection System Suitable for Diverse Settings

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Researchers at Purdue University have developed LIDAR, an adaptable intrusion detection system suitable for diverse settings, including wireless networks. This technology can detect a wide range of diverse attacks and allows the intrusion detection system to learn how to best identify the already known attacks as well as recognize unknown/zero-day attacks and capture their behavior for future identification. The robustness of the technology is ensured by using lifelong learning updates, input pre-processing components that are designed to be resilient to adversarial attacks, and a cross-layer feature extraction mechanism for networks with a wireless communication medium. Furthermore, this technology is able to adapt to the environment through lifelong learning, and relies on very little assumptions for the attacker behavior.

-Explore generic zero day attack behavior
-Suitable for diverse settings

Potential Applications:
-Intrusion detection system
Nov 25, 2020
Utility Patent
United States

Feb 3, 2020
United States
Purdue Office of Technology Commercialization
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