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Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework
Hardcover
Technology & EngineeringGeneral ComputersComputer Security
ISBN13: 9781025092935
Publisher: Hutson Street Press
Published: May 22 2025
Pages: 98
Weight: 0.70
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
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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Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework
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Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework
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