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Secure data aggregation using access control and authentication for wireless sensor networks

机译:使用访问控制和身份验证对无线传感器网络进行安全的数据聚合

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The existing secure data aggregation approaches for wireless sensor networks were not designed for authorization, energy efficiency and proper security, leaving them prone to attacks. In this paper, we introduce the secure data aggregation using the access control and authentication (SDAACA) protocol. Using this protocol, we aim to detect sinkhole and Sybil attacks that are difficult to detect by existing cryptographic approaches. The proposed SDAACA protocol consists of two novel algorithms: the secure data fragmentation (SDF) and the node joining authorization (NJA). The SDF algorithm hides the data from the adversary by fragmenting it into small pieces. In the NJA algorithm, an authorization process is initiated before allowing any new node to join the network. Both algorithms help improve the Quality of Service (QoS) parameters. Moreover, we propose an access control scheme that supports accuracy, energy efficiency, freshness and authentication by reducing the communication overhead and guaranteeing the communication authenticity process. Furthermore, the proposed protocol is mapped on the oil-refinery plant to prevent and detect both sinkhole and Sybil attacks in the presence of static and mobile sensor nodes. Finally, we show the effectiveness of our proposed protocol through extensive simulations and a comparative study of other known secure data aggregation protocols.
机译:现有的用于无线传感器网络的安全数据聚合方法并不是为授权,能效和适当的安全性而设计的,因此容易受到攻击。在本文中,我们介绍了使用访问控制和认证(SDAACA)协议的安全数据聚合。使用该协议,我们旨在检测现有加密方法难以检测到的漏孔和Sybil攻击。提出的SDAACA协议由两种新颖的算法组成:安全数据分段(SDF)和节点加入授权(NJA)。 SDF算法通过将数据分割成小块,将其隐藏在对手面前。在NJA算法中,在允许任何新节点加入网络之前启动授权过程。两种算法都有助于改善服务质量(QoS)参数。此外,我们提出了一种访问控制方案,该方案通过减少通信开销并保证通信真实性过程来支持准确性,能效,新鲜度和认证。此外,将所提出的协议映射到炼油厂,以在存在静态和移动传感器节点的情况下防止和检测下沉和Sybil攻击。最后,我们通过广泛的仿真和对其他已知安全数据聚合协议的比较研究,证明了我们提出的协议的有效性。

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