Abstract
Wireless sensor networks (WSNs) are one of the main elements of information acquisition technologies in the Internet of Things (IoT). They are broadly used in managing instruments such as smart meters and health monitoring. The data is prone to manipulation; thus, a secure method is necessary to ensure data integrity. The objectives of this research are to compare lightweight and secure reversible watermarking schemes for data integrity in WSN; elaborate on the influential factors affecting on the system performance; describe the overhead of each security factor in terms of time, memory and energy consumption regarding the computational complexity and, finally, assess the robustness of each scheme to resist against attacks. Taking advantage of the results of this research, we expect that it would be inspiring for researchers to design secure IoT applications such as smart meters by extending these elaborated measurements. We also propose several tips for designing lightweight and secure data integrity methods in IoT.
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Araghi, T.K., Megías, D., Rosales, A. (2023). Evaluation and Analysis of Reversible Watermarking Techniques in WSN for Secure, Lightweight Design of IoT Applications: A Survey. In: Arai, K. (eds) Advances in Information and Communication. FICC 2023. Lecture Notes in Networks and Systems, vol 652. Springer, Cham. https://doi.org/10.1007/978-3-031-28073-3_47
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