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Zhixin Shi
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Publications
- 2021
- [c48]Degang Sun, Meichen Liu, Meimei Li, Zhixin Shi, Pengcheng Liu, Xu Wang:
DeepMIT: A Novel Malicious Insider Threat Detection Framework based on Recurrent Neural Network. CSCWD 2021: 335-341 - 2020
- [c45]Meichen Liu, Meimei Li, Degang Sun, Zhixin Shi, Bin Lv, Pengcheng Liu:
Terminator: a data-level hybrid framework for intellectual property theft detection and prevention. CF 2020: 142-149 - 2019
- [c39]Degang Sun, Yulan Hu, Zhixin Shi, Guokun Xu, Wei Zhou:
An Efficient Anomaly Detection Framework for Electromagnetic Streaming Data. ICBDC 2019: 151-155 - 2017
- [j5]Bin Kong, Kun Yang, Degang Sun, Meimei Li, Zhixin Shi:
Distinguishing flooding distributed denial of service from flash crowds using four data mining approaches. Comput. Sci. Inf. Syst. 14(3): 839-856 (2017) - [c30]Degang Sun, Kun Yang, Bin Lv, Zhixin Shi:
Could we beat a new mimicking attack? APNOMS 2017: 247-250 - [c28]Degang Sun, Kun Yang, Zhixin Shi, Chao Chen:
A New Mimicking Attack by LSGAN. ICTAI 2017: 441-447 - [c27]Degang Sun, Kun Yang, Zhixin Shi, Bin Lv:
A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds. KSEM 2017: 129-136 - [c25]Degang Sun, Kun Yang, Zhixin Shi, Yan Wang:
A Distinction Method of Flooding DDoS and Flash Crowds Based on User Traffic Behavior. TrustCom/BigDataSE/ICESS 2017: 65-72 - [c24]Degang Sun, Kun Yang, Zhixin Shi, Yan Wang:
Detecting Flooding DDoS Under Flash Crowds Based on Mondrian Forest. WASA 2017: 729-740
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