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Towards a formally verified zero watermarking scheme for data integrity in the Internet of Things based-wireless sensor networks

机译:迈向基于物联网的无线传感器网络中数据完整性的经过正式验证的零水印方案

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The Internet of Things (IoT) is an emerging paradigm in which billions of devices communicate, thus producing and exchanging information related to real world objects (things). Sensor nodes are specialized nodes for handling transmission of a large volume of data in situations where the source nodes communicate with base stations (BS) via a set of intermediate nodes. Applications based on WSN claim that integrity and trustworthiness are the key aspects as the data received from source nodes is the major source for BS to take critical decisions. To establish the trustworthiness between sensor node and BS, a novel zero watermarking scheme is proposed in this paper. In order to ensure integrity and trustworthiness, our proposed scheme embeds a watermark in original data before it is transmitted to BS which is responsible for verifying the watermark embedded with data. We have compared proposed scheme with existing Asymmetric Cryptography (ACT) and Reversible Watermarking (RW) schemes based on the performance parameters such as computational overhead and the energy utilization. Analysis results suggest that proposed scheme can handle multiple attacks on data and watermark such as data deletion, data modification, and data insertion attack. Moreover, our experimental results demonstrate that the presented scheme is lightweight, computationally efficient, and better in energy utilization. A formal verification for proof of correctness using high level Petri nets (HLPNs) is also provided to verify the claims of our work.
机译:物联网(IoT)是新兴的范例,其中数十亿个设备进行通信,从而产生和交换与现实世界对象(事物)有关的信息。传感器节点是专用节点,用于在源节点通过一组中间节点与基站(BS)通信的情况下处理大量数据的传输。基于WSN的应用程序声称完整性和可信赖性是关键方面,因为从源节点接收的数据是BS做出关键决策的主要来源。为了建立传感器节点与基站之间的信任度,提出了一种新颖的零水印方案。为了确保完整性和可信赖性,我们提出的方案将水印嵌入原始数据中,然后再发送给BS,后者负责验证嵌入有数据的水印。我们已经基于性能参数(如计算开销和能量利用)将提议的方案与现有的非对称密码术(ACT)和可逆水印(RW)方案进行了比较。分析结果表明,该方案可以处理对数据和水印的多种攻击,例如数据删除,数据修改和数据插入攻击。此外,我们的实验结果表明,所提出的方案是轻量级的,计算效率高,并且在能量利用方面更好。还提供了使用高级Petri网(HLPN)进行正确性证明的形式验证,以验证我们的工作主张。

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