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The Internet of Things (IoT) is integrating the Internet and smart devices inalmost every domain such as home automation, e-healthcare systems, vehicularnetworks, industrial control and military applications. In these sectors,sensory data, which is collected from multiple sources and managed throughintermediate processing by multiple nodes, is used for decision-makingprocesses. Ensuring data integrity and keeping track of data provenance is acore requirement in such a highly dynamic context, since data provenance is animportant tool for the assurance of data trustworthiness. Dealing with suchrequirements is challenging due to the limited computational and energyresources in IoT networks. This requires addressing several challenges such asprocessing overhead, secure provenance, bandwidth consumption and storageefficiency. In this paper, we propose ZIRCON, a novel zero-watermarkingapproach to establish end-to-end data trustworthiness in an IoT network. InZIRCON, provenance information is stored in a tamper-proof centralized networkdatabase through watermarks, generated at source node before transmission. Weprovide an extensive security analysis showing the resilience of our schemeagainst passive and active attacks. We also compare our scheme with existingworks based on performance metrics such as computational time, energyutilization and cost analysis. The results show that ZIRCON is robust againstseveral attacks, lightweight, storage efficient, and better in energyutilization and bandwidth consumption, compared to prior art.

ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks