Truthful Spectrum Auction for Efficient Anti-Jamming in Cognitive Radio Networks

TL;DR

This paper introduces a truthful, anti-jamming spectrum auction mechanism for cognitive radio networks, combining game theory and distributed algorithms to improve security and efficiency against malicious attacks.

Contribution

It proposes a novel joint auction and game-theoretic framework for secure spectrum allocation in the presence of jamming, including a distributed implementation.

Findings

Distributed algorithm performs close to centralized solution

The mechanism ensures truthful participation of secondary users

Effective anti-jamming performance demonstrated through simulations

Abstract

One significant challenge in cognitive radio networks is to design a framework in which the selfish secondary users are obliged to interact with each other truthfully. Moreover, due to the vulnerability of these networks against jamming attacks, designing anti-jamming defense mechanisms is equally important. %providing the security defense is also of great importance. In this paper, we propose a truthful mechanism, robust against the jamming, for a dynamic stochastic cognitive radio network consisting of several selfish secondary users and a malicious user. In this model, each secondary user participates in an auction and wish to use the unjammed spectrum, and the malicious user aims at jamming a channel by corrupting the communication link. A truthful auction mechanism is designed among the secondary users. Furthermore, a zero-sum game is formulated between the set of secondary users and the malicious user. This joint problem is then cast as a randomized two-level auctions in which the first auction allocates the vacant channels, and then the second one assigns the remaining unallocated channels. We have also changed this solution to a trustful distributed scheme. Simulation results show that the distributed algorithm can achieve a performance that is close to the centralized algorithm, without the added overhead and complexity.