ArticleScientific reports2025
SOBV-FEF: secure lightweight data offloading base in blockchain technology for internet of vehicles enabled handover UAVs within a Fog-Edge federation.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A blockchain-enabled trust-aware authentication framework for secure communication in VANETs.Scientific reports · 2026Article
- A novel 6G-oriented secure bidirectional key exchange scheme based on graphene-assisted terahertz physical layer.Scientific reports · 2026Article
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1 author.
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Abstract
The Internet of Things (IoT) has improved efficiency and quality of life by connecting devices to the internet. It has seen success in areas such as smart vehicles and Unmanned Aerial Vehicles (UAVs), but faces processing limitations due to the need to send large amounts of data to other devices for processing. When heavy processing is required, it uses offloading techniques to send the data to other devices for processing. Secure data offloading transmission remains a fundamental challenge in this field. This paper presents an innovative authentication and key exchange method that uses Elliptic Curve Cryptography (ECC) and incorporates Handover for secure offloading, offering a safe, lightweight solution within a blockchain network. To evaluate the resistance of the proposed scheme against active and passive attacks, we employed the AVISPA tool to apply both formal and informal methods. Subsequently, to demonstrate the scheme's lightweight nature, we examined it with respect to computation and communication costs, the number of bits used, and security requirements. Additionally, we simulated the proposed scheme using the NS3 tool in two scenarios: urban and highway, with varying numbers of vehicles. The results indicate that the proposed scheme performs acceptably in urban and highway scenarios.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.