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6 results found in all.
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1A new data normalization method for unsupervised anomaly intrusion detection
Author(s):Long-zheng Cai, Jian Chen, Yun Ke, Tao Chen, Zhi-gang Li  Clicked:9481  Download:3622  Cited:2  <Full Text>
Journal of Zhejiang University Science C  2010 Vol.11 No.10 P.778-784  DOI:10.1631/jzus.C0910625
2Botnet detection techniques: review, future trends, and issues
Author(s):Ahmad Karim, Rosli Bin Salleh, Muhammad Shiraz, Syed Adeel Ali Shah, Irfan Awan, Nor Badrul Anuar  Clicked:21143  Download:22129  Cited:10  <Full Text>  <PPT> 3010
Journal of Zhejiang University Science C  2014 Vol.15 No.11 P.943-983  DOI:10.1631/jzus.C1300242
3NIPAD: a non-invasive power-based anomaly detection scheme for programmable logic controllers
Author(s):Yu-jun Xiao, Wen-yuan Xu, Zhen-hua Jia, Zhuo-ran Ma, Dong-lian Qi  Clicked:7994  Download:3920  Cited:0  <Full Text>  <PPT> 2508
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.4 P.519-534  DOI:10.1631/FITEE.1601540
4FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream
Author(s):Bin Li, Yi-jie Wang, Dong-sheng Yang, Yong-mou Li, Xing-kong Ma  Clicked:7117  Download:2794  Cited:0  <Full Text>  <PPT> 2050
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.3 P.388-404  DOI:10.1631/FITEE.1800038
5Adaptive and augmented active anomaly detection on dynamic network traffic streams
Author(s):Bin LI, Yijie WANG, Li CHENG  Clicked:2426  Download:1281  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.3 P.446-460  DOI:10.1631/FITEE.2300244
6Deep anomaly detection of temporal heterogeneous data in AIOps: a survey?
Author(s):Jiayi GU, Zhongnan MA, Hao ZHOU, Yan SU, Miaoru ZHANG, Ke YU, Xiaofei WU  Clicked:495  Download:641  Cited:0  <Full Text>
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