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Exfiltration-resistant edge computing framework for secure intelligent transportation systems
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DOI：10.1016/j.pmcj.2026.102181.png)
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Abstract
En 中文
The integration of the Internet of Things (IoT) into intelligent transportation systems (ITS) is essential for improving road safety, traffic efficiency, and real-time decision-making. However, the distributed and open nature of ITS communications exposes them to serious security and privacy threats, including message manipulation, identity impersonation, and data exfiltration. Consequently, these dynamic environments require cryptographic solutions that offer strong security guarantees with minimal latency overhead. This paper proposes an exfiltration-resistant edge-based signcryption framework (ER-ESCF), for securing IoT-enabled ITS communications. The framework employs certificateless signcryption (CLSC), to simultaneously achieve confidentiality, integrity, and authentication, while eliminating key escrow and reducing certificate management overhead. Edge computing capabilities at roadside units are leveraged to support distributed batch verification, significantly reducing verification latency and mitigating bottlenecks. A novel collaborative randomness protocol is introduced to ensure the integrity of the master secret key. In addition, cryptographic reverse firewalls (CRFs) are deployed at both the vehicle and key generation center (KGC) levels to sanitize cryptographic inputs and outputs, ensuring resistance to data exfiltration even in the presence of insider threats or subverted implementations. Formal security analysis confirms the framework achieves indistinguishability under adaptive chosen-ciphertext attacks and existential unforgeability against both malicious users and compromised authorities. Experimental performance evaluation demonstrates that ER-ESCF significantly outperforms state-of-the-art schemes in terms of computational efficiency and communication overhead, establishing it as a practical and robust solution for the strict real-time requirements of modern ITS environments.
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