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A Relay-Chain-Powered Ciphertext-Policy Attribute-Based Encryption in Intelligent Transportation Systems

arXiv 2508.16189 ↗First posted 22 Aug 2025cs.CR cs.AIcited by 0

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Abstract (arXiv)

The very high growth of Intelligent Transportation Systems (ITS) has generated an urgent requirement for secure, effective, and context-aware data sharing mechanisms, especially over heterogeneous and geographically dispersed settings. This work suggests a new architecture that combines a relay chain-driven encryption system with a modified Ciphertext-Policy Attribute-Based Encryption (CP-ABE) scheme to tackle the double impediment of dynamic access and low-latency communication. The model proposes a context-aware smart contract on a worldwide relay chain that checks against data properties, including event type, time, and geographical region, to specify the suitable level of encryption policy. From such relay-directed judgment, On-Board Units (OBUs) encrypt data end-to-end by utilising CP-ABE and store ciphertext inside localised regional blockchains, preventing dependence on symmetric encryption or off-chain storage. High-sensitivity events are secured with firm, multi-attribute access rules, whereas common updates use light policies to help reduce processing burdens. The crypto system also adds traceability and low-latency revocation, with global enforcement managed through the relay chain. This distributed, scalable model provides a proper balance between responsiveness in real time and security and is extremely apt for next-gen vehicular networks that function across multi-jurisdictional domains.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 44 references that are in the map. First posted on arXiv 22 Aug 2025.

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3 of 44 references.

References · 3

  1. 2018Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theorycited by 14
  2. 2024AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environmentscited by 7
  3. 2024Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learningcited by 6

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