Distortion-Free Watermarking Scheme for Wireless Sensor Networks

I. Kamel, Osama AlKoky, A. Dakkak
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引用次数: 12

Abstract

Wireless sensor networks have spread widely in the recent years. They have a very wide range of applications such as environment monitoring and military applications like battlefield monitoring. Sensors and their data are vulnerable to various attacks, like data injection, deletion, modification or even node replacement. Because of the resource limitation, security mechanisms that are based on traditional security techniques like public key cryptography and digital signatures are too heavy for wireless sensor networks. Watermarking is considered an attractive alternative because of its light resource requirements. This paper proposes a new technique for providing data integrity for wireless sensor network. The proposed scheme is based on distortion free watermarking. Most of the prior works embed the watermark by replacing the least significant bits of the data. While some applications can tolerate small errors in the data readings, other applications are sensitive to errors. The proposed watermarking technique embeds the watermark in the order of the data elements, and thus, does not cause distortion to the data items. We provide a detailed security analysis to show the robustness of the proposed techniques against various types of attacks. The proposed technique is implemented and the performance, in terms of the attack detection rate and the ability to identify the victim element is evaluated. In case of single attack the proposed technique can identify the victim data reading with high probability (up to 95%). The cost in terms of the execution time of the watermark calculation and embedding is also measured.
无线传感器网络的无失真水印方案
近年来,无线传感器网络得到了广泛的应用。它们有非常广泛的应用,如环境监测和军事应用,如战场监测。传感器及其数据容易受到各种攻击,如数据注入、删除、修改甚至节点替换。由于资源限制,基于传统安全技术(如公钥加密和数字签名)的安全机制对于无线传感器网络来说过于沉重。水印被认为是一种有吸引力的替代方案,因为它对资源的要求很低。提出了一种保证无线传感器网络数据完整性的新技术。该方案基于无失真水印。以前的大多数工作都是通过替换数据的最低有效位来嵌入水印。虽然有些应用程序可以容忍数据读取中的小错误,但其他应用程序对错误很敏感。所提出的水印技术按照数据元素的顺序嵌入水印,因此不会对数据项造成失真。我们提供了详细的安全性分析,以显示所建议的技术对各种类型攻击的鲁棒性。实现了该技术,并从攻击检测率和识别受害元素的能力两方面对其性能进行了评估。在单一攻击的情况下,该技术可以高概率(高达95%)识别受害者数据读取。对水印计算和嵌入的执行时间进行了度量。
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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