Work place: University of Hargeisa, Maroodijeeh, 2522, Somaliland
E-mail: yahye.adam@uoh.edu.so
Website:
Research Interests:
Biography
Yahye Adam Omar is a dedicated PhD candidate specializing in the field of computer science with a focus on Cyber Security. Currently pursuing doctoral studies, Yahye delves deeply into the intricate realms of interconnected devices, blockchain technology, and wireless network security. Their academic pursuits are driven by a passion for advancing the understanding and fortification of digital landscapes against emerging cyber threats.
DOI: https://doi.org/10.5815/ijwmt.2024.06.02, Pub. Date: 8 Dec. 2024
Wireless sensor networks (WSNs) are widely used across various fields, facilitating the gathering of critical data for monitoring physical and environmental conditions. However, traditional WSNs encounter cybersecurity challenges, including weak node authentication, limited fault tolerance, insufficient detection of malicious nodes, and insecure data integrity management. Given these vulnerabilities, it is essential to develop effective solutions to address WSN cybersecurity issues. A key concern that requires special focus is ensuring robust data integrity management to resolve trust-related problems in WSNs. Most current existing solutions rely on centralized systems, which are vulnerable to tampering and offer no proper data integrity management or traceability for the data gathered from sensors. In this paper, we present an architecture based on blockchain technology to ensure secure data transmission and effective data integrity management for data collected from WSN devices. By employing the decentralized and immutable nature of blockchain, the integration of WSN and blockchain technology provides a robust infrastructure that features tamper-resistant for better decision-making process. The results show that the proposed architecture offers secure data storage and provides strong performance, capable of scaling to accommodate large WSNs through the use of blockchain. This study also identifies the most common challenges in integrating blockchain with WSNs and provides appropriate solutions to fully harness the benefits of blockchain applications in these networks.
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