Improved Intrusion Detection System using Quantal Response Equilibrium-based Game Model and Rule-based Classification

Authors

  • Manjula C Belavagi Manipal Institute of Technology, Manipal Academy of Higher Education
  • Balachandra Muniyal Manipal Institute of Technology, Manipal Academy of Higher Education

DOI:

https://doi.org/10.17762/ijcnis.v13i1.4875

Abstract

Wireless sensor network has large number of low-cost tiny nodes with sensing capability.  These provide low cost solutions to many real world problems such as such as defence, Internet of things, healthcare, environment monitoring and so on. The sensor nodes of these networks are placed in vulnerable environment. Hence, the security of these networks is very important. Intrusion Detection System (IDS) plays an important role in providing a security to such type of networks. The sensor nodes of the network have limited power and, traditional security mechanisms such as key-management, encryption decryption and authentication techniques cannot be installed on the nodes. Hence, there is a need of special security mechanism to handle the intrusions. In this paper, intrusion detection system is designed and implemented using game theory and machine learning to identify multiple attacks. Game theory is designed and used to apply the IDS optimally in WSN. The game model is designed by defining the players and the corresponding strategies. Quantal Response Equilibrium (QRE) concept of game theory is used to select the strategies in optimal way for the intrusion’s detection. Further, these intrusions are classified as denial of service attack, rank attack or selective forwarding attacks using supervised machine learning technique based on different parameters and rules. Results show that all the attacks are detected with good detection rate and the proposed approach provides optimal usage of IDS.

Author Biographies

Manjula C Belavagi, Manipal Institute of Technology, Manipal Academy of Higher Education

Department of Information & Communication technology

Balachandra Muniyal, Manipal Institute of Technology, Manipal Academy of Higher Education

Department of Information & Communication technology

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Published

2021-04-10 — Updated on 2022-04-16

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How to Cite

Belavagi, M. C., & Muniyal, B. (2022). Improved Intrusion Detection System using Quantal Response Equilibrium-based Game Model and Rule-based Classification. International Journal of Communication Networks and Information Security (IJCNIS), 13(1). https://doi.org/10.17762/ijcnis.v13i1.4875 (Original work published April 10, 2021)

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Section

Research Articles