Using Sequence Analysis to Perform Application-Based Anomaly Detection within an Artificial Immune System Framework (Paperback) (ISBN-13: 9781249833093)

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").

Author: Larissa A. O'Brien
ISBN-10: 1249833094
ISBN-13: 9781249833093
Publisher: Biblioscholar
Language: English
Published: 10/17/2012
Pages: 100
Format: Paperback
Weight: 0.43lbs
Size: 9.69h x 7.44w x 0.21d