Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (3): 313-319.doi: 10.11896/jsjkx.200400079

• Information Security • Previous Articles     Next Articles

Intervention Algorithm for Distorted Information in Online Social Networks Based on Stackelberg Game

YUAN De-yu1,2, CHEN Shi-cong1, GAO Jian1,2, WANG Xiao-juan3   

  1. 1 Department of Police Information Engineering and Cyber Security,People’s Public Security University of China,Beijing 100038,China
    2 Key Laboratory of Safety Precautions and Risk Assessment,Ministry of Public Security,Beijing 100038,China
    3 School of Electronic and Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China
  • Received:2020-04-20 Revised:2020-07-29 Online:2021-03-15 Published:2021-03-05
  • About author:YUAN De-yu,born in 1986,Ph.D,lecturer,Ph.D supervisor.His main research interests include cyber security and complex networks.
    GAO Jian,born in 1982,Ph.D,associate professor.His main research interests include cyber security,malware and botnet.
  • Supported by:
    National Natural Science Foundation of China(61771072),Special Project of People’s Public Security University of China(2020JWCX01) and Open Project of the Key Laboratory of the Police Internet of Things Application Technology (Ministry of Public Security).

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Abstract: During the 2019-nCoV epidemic,social media spread news around the world at an unprecedented rate.Distorted information is hidden in massive social data,which presents unprecedented challenges to national security and social stability.Most of the current intervention strategies are based on the control of key nodes and key links,that is,deleting tweets and blocking accounts,which are often ineffective and prone to side effects.Based on the definition and analysis of distorted information,this paper breaks the limitation of traditional thinking and disturbs the evolution of distorted information by publishing clarifications during the spread of distorted information.With the help of Stackelberg game theory,more users are encouraged to participate in the information hedging process by setting up rewards,thereby hindering the explosive effect of distorted information.Based on the established Stackelberg game,the existence and uniqueness of the equilibrium solution are analyzed,and the closed equilibrium solution and information intervention algorithm is proposed.Simulation experiments in the actual network show that the proposed algorithm reduces the spread of distorted information by up to 41% and 9% compared to the traditional immune strategy based on network structure and other intervention algorithms based on game theory,thus can effectively suppress the spread of distor-ted information.

Key words: Distorted information, Information dissemination, Online social networks, Reverse intervention, Stackelberg game

CLC Number: 

  • TP309
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