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Using Stackelberg game to enhance cognitive radio sensor networks security

机译:使用Stackelberg游戏增强认知无线电传感器网络的安全性

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The authors propose a game-theoretic approach using the Stackelberg game for securing cognitive radio sensor network (CRSN) against the spectrum sensing data falsification attack; this attack aims at corrupting the spectrum decisions communicated from the ambient sensor nodes (ASNs) to the fusion centre by imposing interference power. The proposed game approach is developed for two different attack-defence scenarios. In the first scenario, the attacker selects to attack a group of delivered reports of the ASNs that have a protection degree below a specific threshold. In the second scenario, the attacker applies its maximum attack interference power to the delivered reports of the ASNs that have been reported to be least protected in the previous round. Simulation results indicate the improved performance of the proposed protection model as compared with two baseline defence mechanisms, namely, the random and equal-protection defence mechanisms with static signal-to-noise ratio (SNR) and variable SNRs. Consequently, Stackelberg game features prove to be beneficial for securing communication over CRSN.
机译:作者提出了一种使用Stackelberg游戏的博弈论方法,以确保认知无线电传感器网络(CRSN)免受频谱感知数据伪造攻击。这种攻击旨在通过施加干扰功率来破坏从环境传感器节点(ASN)传递到融合中心的频谱决策。拟议的游戏方法是针对两种不同的攻击防御方案而开发的。在第一种情况下,攻击者选择攻击一组保护级别低于特定阈值的ASN的已交付报告。在第二种情况下,攻击者将其最大的攻击干扰功率应用于所报告的在上一轮中受到最少保护的ASN。仿真结果表明,与两种基线防御机制(即具有静态信噪比(SNR)和可变SNR的随机和同等保护防御机制)相比,该保护模型的性能有所提高。因此,事实证明,Stackelberg游戏功能对于确保通过CRSN的通信是有益的。

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