Chinese Journal of Intelligent Science and Technology ›› 2020, Vol. 2 ›› Issue (2): 194-202.doi: 10.11959/j.issn.2096-6652.202022

• Regular Papers • Previous Articles    

Parallel security:generative adversarial systems for intelligent security in CPSS

Yidong LI1(),Jun ZHANG2,3,Yaodong TAO1,Wei WANG1,Yuanxiang GU4,Fei-Yue WANG2,5,6   

  1. 1 Beijing Jiaotong University,Beijing 100044,China
    2 Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
    3 Wuhan University,Wuhan 430000,China
    4 Irdeto Corp,Ottawa K2T1G5,Canada
    5 University of Chinese Academy of Sciences,Beijing 100049,China
    6 Qingdao Academy of Intelligent Industries, Qingdao 266109, China
  • Revised:2020-04-29 Online:2020-06-20 Published:2020-07-14
  • Supported by:
    The National Key Research and Development Program of China(2018YFB0803500);The National Natural Science Foundation of China(U1934220)


Developing technologies such as AI and big data are changing the landscape of cybercrime for both attackers and defenders.Traditional defense technology mainly use the passive detect-then-defend model,which is hard to meet the security protection requirements brought by new attack characteristics.A novel security framework,named parallel security was proposed,which aimed at providing a comprehensive solution with descriptive security,predictive security and prescriptive security.The main idea was based on the ACP theory of parallel intelligent,and integrated new methods such as generative adversarial leaning model,parallel blockchain.Human elements,sociology and psychology were taken as an important component in the framework,in order to enhance the immunity of the system.In addition,a parallel security based platform was design and developed for several typical scenarios in the field of industrial internet as a proof of concept.

Key words: cyberspace security, parallel security, generative adversarial system, ACP, artificial intelligence, parallel system

CLC Number: 

No Suggested Reading articles found!