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Professor of Artificial Intelligence | Computer Vision & System Security |
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这是中文版学术主页使用指南,旨在搭建一个托管在 Github 的学术主页。通过开源项目 Academicpages 和 Github 的 Github Pages 服务我们可以搭建一个免费、简约和高度定制的学术主页。
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Published in IEEE Transactions on Information Forensics and Security, 2022
In this paper, we propose DeepSyslog, a deep anomaly detection method for Syslog that integrates unsupervised sentence embedding with event metadata to capture contextual semantics and improve detection accuracy, outperforming existing log-based approaches.
Recommended citation: J. Zhou, Y. Qian, Q. Zou, P. Liu and J. Xiang, "DeepSyslog: Deep Anomaly Detection on Syslog Using Sentence Embedding and Metadata," in IEEE Transactions on Information Forensics and Security, vol. 17, pp. 3051-3061, 2022, doi: 10.1109/TIFS.2022.3201379. keywords: {Metadata;Anomaly detection;Feature extraction;Semantics;Indexes;History;Event detection;Anomaly detection;sentence embedding;event metadata}, https://ieeexplore.ieee.org/document/9865986
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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