Psykologi & pedagogik
Pocket
Using Sequence Analysis to Perform Application-Based Anomaly Detection within an Artificial Immune System Framework
Larissa A O'Brien
879:-
Uppskattad leveranstid 7-12 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
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").
- Format: Pocket/Paperback
- ISBN: 9781249833093
- Språk: Engelska
- Antal sidor: 100
- Utgivningsdatum: 2012-10-17
- Förlag: Biblioscholar