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24 May 2022 A detection method of lost assets based on feature optimization and active-passive detection
Jingchen Yan, Chenxi Cai, Zhe Du, Jianbin Li
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Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 1226008 (2022) https://doi.org/10.1117/12.2637519
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China
Abstract
With the development of Internet technology, various network attacks have emerged one after another, seriously affecting the security of many key infrastructures such as finance, energy, and transportation. Therefore, the importance of network asset management is self-evident. How to judge the security of assets and detect lost assets has become an important research topic. This paper proposes a method for detecting lost assets based on feature optimization and active-passive detection. Firstly, it achieves the classification of abnormal traffic by extracting important features of the traffic data. And then, it detects the network assets using the combined active and passive detection method. The experiments show that this method can effectively detect the lost assets in the network and effectively provide an analysis basis for threat analysis and emergency response.
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Jingchen Yan, Chenxi Cai, Zhe Du, and Jianbin Li "A detection method of lost assets based on feature optimization and active-passive detection", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 1226008 (24 May 2022); https://doi.org/10.1117/12.2637519
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KEYWORDS
Data modeling
Network security
Detection and tracking algorithms
Information security
Process modeling
Feature extraction
Optimization (mathematics)
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