Home » Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework by Larissa A OBrien
Using Sequence Analysis to Perform Application-Based Anomaly Detection Within an Artificial Immune System Framework Larissa A OBrien

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

Larissa A OBrien

Published October 17th 2012
ISBN : 9781249833093
Paperback
100 pages
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 About the Book 

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 attacksMoreThe 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 Forces 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).