Intrusion detection algorithm based on OCSVM in industrial control system

Author:

Shang Wenli1,Zeng Peng1,Wan Ming1,Li Lin12,An Panfeng12

Affiliation:

1. Industry Control Network and Systems Laboratory; Shenyang Institute of Automation, Chinese Academy of Sciences; Shenyang China

2. Shenyang Ligong University; Shenyang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference31 articles.

1. Selection of candidate support vectors in incremental SVM for network intrusion detection;Chitrakar;Computers & Security,2014

2. Anomaly-based network intrusion detection: Techniques, systems and challenges;Garcia-Teodoro;Computers & Security,2009

3. Papa SM Sukumaran Nair VS A behavioral intrusion detection system for SCADA systems, Southern Methodist University 2013

4. Zhu B Sastry S SCADA-specific intrusion detection/prevention systems: a survey and taxonomy 2010

5. Intrusion detection based on SVM technology;Li;Information and Control,2003

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