DocumentCode
2265581
Title
Agent-based cooperative anomaly detection for wireless ad hoc networks
Author
Deng, Hongmei ; Xu, Roger ; Li, Jason ; Zhang, Frank ; Levy, Renato ; Lee, Wenke
Author_Institution
Intelligent Autom. Inc., Rockville, MD
Volume
1
fYear
0
fDate
0-0 0
Abstract
Ensuring security in wireless ad hoc networks is absolutely necessary and a must for any security-critical applications. In this paper, we report our progress in the development of an agent-based cooperative anomaly detection scheme for wireless ad hoc networks. The approach addresses the underlying distributed and cooperative nature of wireless ad hoc networks and adds one more dimension of cooperation to the intrusion detection process. That is, the anomaly detection is performed in a cooperative way involving the participation of multiple mobile nodes. Unlike traditional signature-based misuse detection approaches, the proposed scheme detects various types of intrusions/attacks based on the model learned only from normal network behaviors. Without the requirements of pre-labeled attack data, the approach eliminates the time-consuming labeling process and the impacts of imbalanced dataset. Besides, the concept of software agent technology has been applied in system implementation, which provides further support for distributed wireless ad hoc networks
Keywords
ad hoc networks; mobile computing; security of data; software agents; telecommunication security; agent-based cooperative anomaly detection; distributed wireless ad hoc networks; intrusion detection; software agent; wireless ad hoc network security; Ad hoc networks; Automation; Communication system security; Contracts; Intelligent agent; Intelligent networks; Intrusion detection; Labeling; Mobile ad hoc networks; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Systems, 2006. ICPADS 2006. 12th International Conference on
Conference_Location
Minneapolis, MN
ISSN
1521-9097
Print_ISBN
0-7695-2612-8
Type
conf
DOI
10.1109/ICPADS.2006.23
Filename
1655710
Link To Document