DocumentCode :
476028
Title :
A methodology to selecting optimal security policy for adaptive intrusion tolerant secure communication systems
Author :
Song, Shu-min ; Guo, Yuan-bo ; Song, Zhen ; Wang, Ya-Di
Author_Institution :
Inst. of Electron. Technol., Inf. Eng. Univ., Zhengzhou
Volume :
2
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
1070
Lastpage :
1075
Abstract :
Adaptation is a very crucial aspect of intrusion tolerance. In order to be tolerant in front of an attack, applications must change its security policies to be adaptive to the damaged environment. But selection of suitable optimal security policy for typical conditions and network environment is found to be a multi-criteria decision making problem. The procedure is found to be unstructured, characterized by extensive domain dependent knowledge and requiring the application of an effective and efficient multi-criteria decision making tool. The AHP technique breaks down decision making problems into finer parts to allow for easier and more logical selections. The following paper focuses on the application of the AHP technique in selecting the suitable optimal security policy for typical conditions and network environment. The relative importance of each criteria, subcriteria and sub-subcriteria is measured using pairwise comparison matrices and the overall ranking of each alternative equipment is then determined.
Keywords :
security of data; adaptive intrusion tolerant secure communication system; analytic hierarchy process; intrusion tolerance; multicriteria decision making; network environment; optimal security policy; Communication system security; Computer security; Cybernetics; Decision making; Electronic mail; Fault tolerance; Information security; Information systems; Machine learning; Redundancy; Adaptive; Analytic hierarchy process; Intrusion Tolerant; Optimal Security Policy; Secure Communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620563
Filename :
4620563
Link To Document :
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