An Upgraded Data Security Based on Homomorphic Encryption and Aggregate Signature Method in Wireless Sensor Network

Raju Ranjan, Vinay Kumar Ahlawat
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Abstract

Wireless sensor networks (WSN) have been implemented in nearly every field of use because they offer a solution to practical problems that can also be affordably implemented. The sensor nodes have limited computing resources, weak batteries, and limited storage space. The environmental or physical data collected by these nodes is transmitted straight to the BS. The data transfer cost is raised due to the direct data transmission. In addition, the lifetime of sensor networks is shortened because of the rise in energy required for data exchange. As a result, data aggregation is utilized in WSN to lessen the burden of transmission costs and lengthen the useful life of the sensor networks. Each sensor node's transmission is encrypted with cipher text generated by the Paillier homomorphic cryptosystem. In addition, the Bilinear aggregate signature method is used to create a digital signature at each sensor node. The cluster head BS is where the aggregation takes place once the cipher text and signature have been combined. Before deciding whether to accept or reject the message, the BS checks the aggregate signature. The homomorphic cryptosystem saves power because it does not perform intermediate-level or cluster-head decryption. Data integrity, authenticity, and confidentiality are all maintained while using less power with this technology. The Intel laboratory dataset is used in the implementation. When compared to current systems, the proposed SDA method requires less time and energy to calculate.
基于同态加密和聚合签名方法的无线传感器网络数据安全升级
无线传感器网络(WSN)已经应用于几乎所有的使用领域,因为它们为实际问题提供了一种解决方案,并且可以负担得起。传感器节点的计算资源有限,电池性能差,存储空间有限。这些节点收集的环境或物理数据直接传输到BS。数据的直接传输增加了数据传输成本。此外,由于数据交换所需的能量增加,传感器网络的寿命缩短。因此,在无线传感器网络中利用数据聚合可以减轻传输成本负担,延长传感器网络的使用寿命。每个传感器节点的传输都使用Paillier同态密码系统生成的密文进行加密。此外,采用双线性聚合签名方法在每个传感器节点上创建一个数字签名。簇头BS是组合密文和签名后进行聚合的地方。在决定接受或拒绝消息之前,BS检查聚合签名。同态密码系统节省电力,因为它不执行中级或簇头解密。数据完整性、真实性和保密性都得到了维护,同时使用该技术的功耗更低。在实现中使用了英特尔实验室数据集。与现有系统相比,所提出的SDA方法的计算时间和能量更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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