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SDPP: an intelligent secure detection scheme with strong privacy-preserving for mobile peer-to-peer social network

机译:SDPP:一种用于移动对等社交网络的具有强大隐私保护功能的智能安全检测方案

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摘要

In this paper, we propose an intelligent secure detection scheme with strong privacy-preserving, called SDPP, for improving routing security and achieving privacy preservation of message in mobile peer-to-peer social network (MP2PSN). Specifically, in the proposed SDPP scheme, each user is granted with a pseudo-ID, a certificate, and its private key corresponding to his similar interests. Based on the cooperative neighbour technique and the homomorphic encryption method, the proposed SDPP scheme cannot only detect and avoid black hole attacks but it also can preserve the message privacy. Through security analysis, we show that the proposed scheme is secure in the MP2PSN scenarios. Moreover, we also discuss how SDPP can achieve the privacy-preservation of message and the evolution of users' certificates. Both theoretical and simulation results are given to demonstrate the effectiveness of the proposed scheme in terms of black hole detection rate, average Detectreq reporting, and average transmission delay under various scenarios.
机译:在本文中,我们提出了一种具有强大隐私保护功能的智能安全检测方案,称为SDPP,以提高路由安全性并实现移动对等社交网络(MP2PSN)中消息的隐私保护。具体而言,在提出的SDPP方案中,每个用户都被授予一个伪ID,一个证书及其对应于其相似兴趣的私钥。基于协作邻居技术和同态加密方法,提出的SDPP方案不仅可以检测和避免黑洞攻击,而且可以保护消息的隐私。通过安全性分析,我们证明了该方案在MP2PSN方案中是安全的。此外,我们还将讨论SDPP如何实现消息的隐私保护和用户证书的演变。给出了理论和仿真结果,以证明该方案在各种情况下的黑洞检测率,平均Detectreq报告和平均传输延迟方面的有效性。

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