An Intrusion Response Decision-Making Model Based on Hierarchical Task Network Planning
Publication Type
Journal Article
Publication Date
2010
Abstract
An intrusion response decision-making model based on hierarchical task network (HTN) planning is presented in the paper. Compared with other response decision-making models, the response decision-making model consists of not only the response measure decision-making process but also response time decision-making process that is firstly proposed in the paper. The response time decision-making model is able to determine response time for different response HTN subtasks. Owing to the introduction of the response time decision-making, the intrusion response system can apply different response strategies to achieve different response goals set by administrators. The proposed response measure decision-making model can optimize a response plan by balancing the response effectiveness and the response negative impact in both a single response measure and a set of response measures. The response decision-making model is self-adaptive and has the ability of tolerating to false positive IDS alerts. The proposed model has been used in the intrusion detection alert management and intrusion response system (IDAM&IRS) developed by us. The functions and architecture of IDAM&IRS are introduced in this paper. In addition, the intrusion response experiments of IDAM&IRS are presented, and the features of the response decision-making model are summarized.
Keywords
Automated intrusion response system, Hierarchical task network planning, Intrusion response decision-making, Intrusion detection
Discipline
Information Security
Research Areas
Information Security and Trust
Publication
Expert Systems with Applications
Volume
37
Issue
3
First Page
2465
Last Page
2472
ISSN
0957-4174
Identifier
10.1016/j.eswa.2009.07.079
Publisher
Elsevier
Citation
MU, Chengpo and LI, Yingjiu.
An Intrusion Response Decision-Making Model Based on Hierarchical Task Network Planning. (2010). Expert Systems with Applications. 37, (3), 2465-2472.
Available at: https://ink.library.smu.edu.sg/sis_research/1326
Additional URL
http://dx.doi.org/10.1016/j.eswa.2009.07.079