ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks
Omair Faraj, David Meg\'ias, Joaquin Garcia-Alfaro

TL;DR
ZIRCON is a zero-watermarking approach that enhances data integrity and provenance tracking in IoT networks, addressing resource constraints while ensuring security, efficiency, and robustness against attacks.
Contribution
The paper introduces ZIRCON, a novel zero-watermarking scheme for secure, efficient, and tamper-proof data provenance in resource-limited IoT environments.
Findings
ZIRCON is robust against passive and active attacks.
It is lightweight and energy-efficient compared to existing methods.
ZIRCON reduces bandwidth and storage requirements in IoT networks.
Abstract
The Internet of Things (IoT) is integrating the Internet and smart devices in almost every domain such as home automation, e-healthcare systems, vehicular networks, industrial control and military applications. In these sectors, sensory data, which is collected from multiple sources and managed through intermediate processing by multiple nodes, is used for decision-making processes. Ensuring data integrity and keeping track of data provenance is a core requirement in such a highly dynamic context, since data provenance is an important tool for the assurance of data trustworthiness. Dealing with such requirements is challenging due to the limited computational and energy resources in IoT networks. This requires addressing several challenges such as processing overhead, secure provenance, bandwidth consumption and storage efficiency. In this paper, we propose ZIRCON, a novel…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Blockchain Technology Applications and Security · Internet Traffic Analysis and Secure E-voting
