LIDAR: Adaptable Intrusion Detection System Suitable for Diverse Settings

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2019-GHAF-68713
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.

Advantages:
-Adaptable
-Explore generic zero day attack behavior
-Suitable for diverse settings
-Robust

Potential Applications:
-Intrusion detection system
Feb 3, 2020
Provisional-Patent
United States
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Utility Patent
United States
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Purdue Office of Technology Commercialization
1801 Newman Road
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486
Email: otcip@prf.org