Secured Data Sharing and Storage System for Intelligent Transportation System via Lightweight Blockchain
Secure data sharing and storage are critical to realizing the ultra-high safety and efficiency promised by intelligent transportation systems (ITS). However, ensuring data integrity under stringent resource constraints of ITS remains an open challenge. Existing approaches either incur substantial computational and transmission overhead or demand resources beyond what ITS environments can provide. To address this dilemma, we propose a lightweight blockchain-based data sharing and storage framework tailored for ITS. The system features a distributed, asynchronous reputation mechanism that enables trustworthy data evaluation and dissemination without burdening critical computing and communication paths. Additionally, a resource-efficient blockchain storage layer ensures low-latency, tamper-resistant access to locally shared data. Extensive simulations demonstrate that our approach outperforms existing solutions in both integrity assurance and resource efficiency.
Authors
- Xiaojun Shang (ORCID: https://orcid.org/0000-0002-6047-1109)
- Yiming Zeng (ORCID: https://orcid.org/0000-0002-5004-4883)
- Jiarui Zhang (ORCID: https://orcid.org/0000-0002-2535-8864)
- Wei Lin (ORCID: https://orcid.org/0000-0003-1718-3539)
- Yuanyuan Yang (ORCID: https://orcid.org/0000-0001-7296-9222)
Institutions
- Binghamton University (US)
- The University of Texas at Arlington (US)
- Stony Brook University (US)
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1109/lcn65610.2025.11146358
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00