基于用户信誉方案的认知无线网络

M. Ammar, S. Rehan
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摘要

认知无线电(Cognitive Radio, CR)是一种允许用户根据需要改变传输参数以提高频谱效率的技术。由于这种机制,出现了一些威胁。在CR中,主要存在两种威胁:一种是PUEA (Primary User Emulation Attack)攻击,攻击者能够在被禁止的时隙中有效地模拟主用户的信号进行传输。这使得所有的系统用户都认为频谱被一个好的主用户占用。第二种威胁是频谱感知数据伪造攻击(SSDF)。在这种情况下,攻击者有意或无意地向融合中心(FC)发送错误的观察信息,导致其做出错误的决策。在这项研究中,提出的方案是基于用户在认知无线电网络中安全频谱访问的声誉。每个SU (Secondary User)进行本地感知,然后将感知结果转发给主融合中心FC。FC根据建议的方法对主用户是否存在做出最终决定。这些方案大大降低了低信誉值认知用户对最终决策的影响,同时提高了高信誉值认知用户对最终决策的影响。实验结果表明,在CR网络中不同数量的可靠用户和不可靠用户的影响下,该方法可以提高感知性能。仿真结果表明,尽管存在大量恶意用户,该方案仍优于传统多数方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Radio Networks Based on Users' Reputation Scheme
Cognitive Radio (CR) can be defined as a technology that allows users to change the transmission parameters as required to increase the spectrum efficiency. Because of this mechanism, some threats emerge. Two major threats are found in CR. The first is the Primary User Emulation Attack (PUEA), where the attacker is able to transmit at a forbidden time slot effectively, emulating the signals of the primary user. This makes all the system users believe that the spectrum is occupied by a good primary user.  The second threat is known as the spectrum sensing data falsification attack (SSDF). In this case, the attackers send false observation information, intentionally or unintentionally, to the fusion center (FC), causing it to make the wrong decision. In this study, the scheme presented  was based on a users' reputation for secure spectrum access in cognitive radio networks. Each Secondary User (SU) performs local sensing and then forwards the sensing results to the main fusion center FC. The FC makes the final decision about the presence of the primary user based on the proposed approach. The schemes substantially reduce the effect of cognitive users with low reputation values while improving the impact of cognitive users with the high reputation values on the final decision. It has been verified that the proposed approach can improve the sensing performance under the impact of a different number of reliable and unreliable users in a CR network. Results based on simulation show that the proposed scheme outperforms the traditional majority scheme despite a high number of malicious users.
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