Reinforcement learning-based trust and reputation model for spectrum leasing in cognitive radio networks

Ling, Mee Hong * and Yau, Alvin Kok-Lim * (2013) Reinforcement learning-based trust and reputation model for spectrum leasing in cognitive radio networks. In: International Conference on IT Convergence and Security (ICITCS), 16 - 18 Dec 2013, Macao. (Submitted)

DCIS_Yau Alvin Kok-Lim. Reinforcement learning-based trust and reputation.pdf

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Cognitive Radio (CR), which is the next generation wireless communication system, enables unlicensed users or Secondary Users (SUs) to exploit underutilized spectrum (called white spaces) owned by the licensed users or Primary Users(PUs) so that bandwidth availability improves at the SUs, which helps to improve the overall spectrum utilization. Collaboration, which has been adopted in various schemes such distributed channel sensing and channel access, is an intrinsic characteristic of CR to improve network performance. However, the requirement to collaborate has inevitably open doors to various forms of attacks by malicious SUs, and this can be addressed using Trust and Reputation Management (TRM). Generally speaking, TRM detects malicious SUs including honest SUs that turn malicious. To achieve a more efficient detection, we advocate the use of Reinforcement Learning (RL), which is known to be flexible and adaptable to the changes in operating environment in order to achieve optimal network performance. Its ability to learn and re-learn throughout the duration of its existence provides intelligence to the proposed TRM model, and so the focus on RL-based TRM model in this paper. Our preliminary results show that the detection performance of RLbased TRM model has an improvement of 15% over the traditional TRM in a centralized cognitive radio network. The investigation in the paper serves as an important foundation for future work in this research field.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Both authors are with the Dept. of Computer Science and Networked System, Faculty of Science and Technology, Sunway University
Uncontrolled Keywords: Security; trust; reputation; reinforcement learning; cognitive radio
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Ms. Molly Chuah
Related URLs:
Date Deposited: 01 Apr 2015 03:19
Last Modified: 12 Oct 2020 07:41

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