An Intrusion Response Decision-Making Model Based on Hierarchical Task Network Planning
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 de...
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Main Authors: | , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2010
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1326 http://dx.doi.org/10.1016/j.eswa.2009.07.079 |
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Institution: | Singapore Management University |
Language: | English |
Summary: | 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. |
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