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Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla

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發(fā)表于 2025-3-28 16:24:57 | 只看該作者
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發(fā)表于 2025-3-29 02:52:01 | 只看該作者
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發(fā)表于 2025-3-29 13:59:36 | 只看該作者
Research on Intrusion Detection Based on Semantic Re-encoding and Multi-space Projection to make the re-encoded semantic space boundaries clearing, thus, effectively improving the detection accuracy and robustness of the algorithm. The SRMPC algorithm can get?>?99% accuracy of general Web attack detection, and when identifying NSL-KDD data sets with CNN, an average performance improvem
47#
發(fā)表于 2025-3-29 15:44:42 | 只看該作者
A Method of Malicious Bot Traffic Detectioninformation is extracted, analyzed and selected as feature, finally we use support vector machine algorithm to train the malicious bot traffic detection model and the detection accuracy appears to be quite high. This is a good reference for applying machine learning to the field of cyber security.
48#
發(fā)表于 2025-3-29 20:39:15 | 只看該作者
0302-9743 019, held in Guangzhou, China, in December 2019..The 61 full papers and 40 short papers presented were carefully reviewed and selected from 235 submissions.?The papers cover a broad range of topics in the field of cyberspace safety and security, such as authentication,?access control, availability,
49#
發(fā)表于 2025-3-30 01:19:13 | 只看該作者
Sándor Berényi,Tibor Gyula Nagyinformation is extracted, analyzed and selected as feature, finally we use support vector machine algorithm to train the malicious bot traffic detection model and the detection accuracy appears to be quite high. This is a good reference for applying machine learning to the field of cyber security.
50#
發(fā)表于 2025-3-30 05:49:25 | 只看該作者
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