Abstract
As an active topic in the research field, network security situation assessment can reflect the security situation from a global perspective. However, existing assessment approaches rely on detection threshold to make decisions, leading to massive false positives and false negatives. This paper proposes a confidence-based network security situation assessment approach that preserves the probability information in attack detection. We use the ensemble learning algorithm and D-S evidence theory to obtain the attack confidence, and calculate the network security situation value through the situation elements fusion. Experiment results demonstrate that this approach is effective and accurate.
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Acknowledgments
This work is supported by The National Natural Science Foundation of China (No. 61572460, No. 61272481), National Key R&D Program of China (No. 2016YFB0800703), The Open Project Program of the State Key Laboratory of Information Security (No. 2017-ZD-01), The National Information Security Special Projects of National Development, the Reform Commission of China [No. (2012)1424], China 111 Project (No. B16037). Open Project Program of the State Key Laboratory of Information Security (2016-MS-02).
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Liu, D. et al. (2017). A Novel Approach to Network Security Situation Assessment Based on Attack Confidence. In: Yan, Z., Molva, R., Mazurczyk, W., Kantola, R. (eds) Network and System Security. NSS 2017. Lecture Notes in Computer Science(), vol 10394. Springer, Cham. https://doi.org/10.1007/978-3-319-64701-2_33
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DOI: https://doi.org/10.1007/978-3-319-64701-2_33
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