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International Conference on Cloud Computing and Security

ICCCS 2017: Cloud Computing and Security pp 62–71Cite as

Bayesian Game Based Pseudo Honeypot Model in Social Networks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10603))

Abstract

In this paper, we study applying honeypots to protect social networks against DDoS attacks. Different from previous works that study honeypots for DDoS attacks, we consider attackers are rational and know to optimize attacking strategies based on the defender’s strategy. To deal with such strategic attackers, we propose a novel pseudo honeypot game model following the Bayesian game setting. In addition, we rigorously prove the existence of Bayesian Nash equilibriums (BNEs) and show how to find them in all different cases. Simulations show the BNEs achieved in the games not only reduce energy consumption but also improve efficiency of the defense.

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Acknowledgments

This work is supported by NSFC (61572262, 61533010, 61373135, 61571233, 61532013); National China 973 Project (2015CB352401); the NSF of Jiangsu Province (BK20141427); NUPT (NY214097); The Qinlan Project of Jiangsu Province.

Author information

Authors and Affiliations

  1. Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    Miao Du & Yongzhong Li

  2. Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Qing Lu & Kun Wang

Authors
  1. Miao Du
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  2. Yongzhong Li
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  3. Qing Lu
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  4. Kun Wang
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Corresponding author

Correspondence to Miao Du .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Du, M., Li, Y., Lu, Q., Wang, K. (2017). Bayesian Game Based Pseudo Honeypot Model in Social Networks. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10603. Springer, Cham. https://doi.org/10.1007/978-3-319-68542-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-68542-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68541-0

  • Online ISBN: 978-3-319-68542-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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