基于博弈论和TDMA协议的认知无线电安全与功耗管理
Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-based Cognitive Radio
摘要：
无线传感器网络的快速发展是促使其在认知无线电等脆弱应用领域做出贡献的重要因素。本文提出了一种Stackelberg博弈方法，以提高基于无线传感器网络的认知无线电的安全性，对频谱感知数据伪造（SSDF）攻击，并保存随之而来的损失的功耗。该攻击的目的是通过对传感器节点（SN）向融合中心（FC）发送的报告施加干扰功率来破坏频谱决策，以使保护级别低于特定阈值。该模型利用智能Stackelberg博弈的特点，随着匹配滤波器（MF），以最大限度地保护由SN发送到FC的报告的数量，导致准确的决定的频谱状态。此外，TDMA协议被用来解决使用MF进行频谱检测的复杂性，以避免发送的报告之间的冲突。该模型的目的是提高正确接收的报告在FC的数量，从而管理由于恶意攻击的影响，报告重传的能量损失。此外，该模型可以节省由于SSDF攻击的影响而导致的失败通信尝试的功率损失。仿真结果表明，所提出的保护模型，随着MF在六个不同的环境对SSDF攻击相比，两个防御计划，即随机和等权重防御策略的性能提高。
英文摘要：
The rapid development of wireless sensor networks (WSNs) is the significant incentive to contribute in the vulnerable applications such as cognitive radio (CR). This paper proposes a Stackelberg game approach to enhance the WSN-based CR security against the spectrum sensing data falsification (SSDF) attack and conserve the consequent lost power consumption. The attack aims to corrupt the spectrum decision by imposing interference power to the delivered reports from the sensor nodes (SNs) to the fusion center (FC) to make a protection level below a specific threshold. The proposed model utilizes the intelligent Stackelberg game features along with the matched filter (MF) to maximize the number of protected reports sent by the SNs to the FC leading to accurate decision of the spectrum status. Furthermore, the TDMA protocol is utilized to resolve the complexity of employing MF for the spectrum detection to avoid the collision between the delivered reports. The proposed model aims to enhance the number of correctly received reports at the FC, and hence manage the lost energy of reports retransmission due to the malicious attack effect. Moreover, the model can conserve the lost power of the failure communication attempts due to the SSDF attack impact. Simulation results indicate the improved performance of the proposed protection model along with the MF over the six different environments against the SSDF attack as compared to two defense schemes, namely, random and equal weight defense strategies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
