提高无线传感器网络信息安全性的轻量级对称加密和基于属性的加密方法

R. Pandey
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引用次数: 0

摘要

在无线传感器网络中,数据的直接传输增加了数据的传输成本。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。传感器节点及其收集的数据很容易被破坏,因为它们是在敌对环境中广播的。因此,数据安全是无线传感器网络研究的一个重要课题。由于传感器网络的资源有限,传统的无线网络安全措施是无效的。通过Speck加密和CP-ABE,提出的轻量级安全远程健康监测系统(LSHS)可以保护健康数据,并限制谁可以在使用更少的功率的情况下访问它。根据这项研究,轻量级分组密码是保护医疗记录的最佳选择。使用LSHS,我们评估了众所周知的轻量级分组密码(如AES、Simon和Speck)的性能。使用Speck技术进行加密和解密都需要较少的处理时间。因此,医疗记录使用Speck算法进行加密。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lightweight Symmetric Encryption and Attribute Based Encryption Method to Increase Information Safety in Wireless Sensor Network
Direct data transmission in a wireless sensor network raises the data transfer cost. 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. The sensor nodes and their collected data are vulnerable to destruction because they are broadcasting in a hostile environment. Therefore, data security is a major topic of study for WSN. Due to the limited resources of the sensor network, conventional wireless network security measures are ineffective. With Speck encryption and CP-ABE, the proposed Lightweight Secured remote Health monitoring System (LSHS) can protect health data and restrict who can access it while using less power. Lightweight block ciphers are optimal for protecting medical records, according to the research. Using the LSHS, we evaluate how well-known lightweight block ciphers like AES, Simon, and Speck perform. Both encrypting and decrypting with the Speck technique require less processing time. Therefore, medical records are encrypted using the Speck algorithm.
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