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An effective intrusion detection framework based on MCLP/SVM optimized by time-varying chaos particle swarm optimization

  • Published:2016-07 Issue: Volume:199 Page:90-102
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Hosseini Bamakan Seyed Mojtaba,Wang Huadong,Yingjie Tian,Shi Yong

Funder

National Natural Science Foundation of China

Major International (Ragional) Joint Research Project

CAS-TWAS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference77 articles.

1. Intrusion detection by machine learning: a review;Tsai;Expert Syst. Appl.,2009

2. Multiple criteria mathematical programming for multi-class classification and application in network intrusion detection;Kou;Inf. Sci.,2009

3. Cisco Systems, I., Cisco 2015 Annual Security Report. Retrieved from 〈https://www.cisco.com/web/offer/gist_ty2_asset/Cisco_2015_ASR.pdf〉, 2015.

4. A hybrid network intrusion detection system using simplified swarm optimization (SSO);Chung;Appl. Soft Comput.,2012

5. Intrusion detection system: a comprehensive review;Liao;J. Netw. Comput. Appl.,2013

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