Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework

By Larissa A O'Brien

The Air Force and other Department of Defense (DoD) computer systems typically rely on traditional signature-based network IDSs to detect various types of attempted or successful attacks. Signature-based methods are limited to detecting known attacks or similar variants; anomaly-based systems, by contrast, alert on behaviors previously unseen. The development of an effective anomaly-detecting, application-based IDS would increase the Air Force's ability to ward off attacks that are not detected by signature-based network IDSs, thus strengthening the layered defenses necessary to acquire and maintain safe, secure communication capability. This system follows the Artificial Immune System (AIS) framework, which relies on a sense of "self," or normal system states to determine potentially dangerous abnormalities ("non-self").

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• Format: Paperback
• Language: English
• ISBN: 1025097637
• ISBN13: 9781025097633
• Release Date: May 2025
• Publisher: Hutson Street Press
• Length: 98 Pages
• Weight: 0.33 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"