By Topic

ABSR: An Agent Based Self-Recovery Model for Wireless Sensor Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chunguang Ma ; Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China ; Xiangjun Lin ; Hongwu Lv ; Huiqiang Wang

Wireless sensor networks (WSN) have become increasingly one of the most promising and interesting areas over the past few years. But the character of constrained resources makes it vulnerable to Denial of Service (DoS) attacks, resulting in a large number of compromised nodes. Until now, it is unrealistic to prevent DoS attacks, but compromised nodes may be designed to self-recover to reduce the harm of DoS attacks. In this paper, an agent based self-recovery model (ABSR) was presented on the use of autonomic computing, which can recover itself in the approach of anomaly monitoring, anomaly deciding and node recovery. Finally, the model is analyzed and verified with the Eclipse Plug-in PEPA Tool, which suggests that compromised nodes can self-recover effectively using ABSR.

Published in:

Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on

Date of Conference:

12-14 Dec. 2009