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A Model-Based Validated Autonomic Approach to Self-Protect Computing Systems
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DOI：10.1109/JIOT.2014.2349899.png)
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摘要
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This paper introduces an autonomic model-based cyber security management approach for the Internet of Things (IoT) ecosystems. The approach aims at realizing a self-protecting system, which has the ability to autonomously estimate, detect, and react to cyber attacks at an early stage. Our approach integrates various model-based techniques including: 1) real-time estimation and baseline security controls to predict and eliminate potential cyber attacks; 2) data analysis to identify and classify attacks; and 3) a multicriteria optimization method to select the optimal active response for deploying countermeasures while maintaining system functions. The prototype framework has been developed with a master controller virtual machine, which can be configured for various platforms. Experimental results demonstrated the effectiveness of this proposed approach in protecting aWeb-based application against known and unknown attacks with little or no human intervention.
Keyword:
Autonomic computing
cyber security
self-protection
Web services
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期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
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