Privacy preservation and secure data sharing scheme in fog based vehicular ad-hoc network

Navdeti, Chandrakant; Banerjee, Indrajit; Giri, Chandan

doi:10.1016/j.jisa.2021.103014

Cited by 5 publications

(1 citation statement)

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“…Zhong et al [ 29 ] proposed a fog computing-based CPP scheme, which supports mobility, low latency, and location awareness through fog computing, and reduces expenses by generating pseudonyms using two hash chains. Navdeti et al [ 30 ] proposed a fog-based VANET privacy protection and secure data sharing scheme. By outsourcing the data to cloud servers and implementing fine-grained access control, data forwarding is reduced, and bandwidth requirements are lowered through fog computing.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Privacy-Preserving Anonymous Authentication Scheme for Condition-Matching in Fog-Cloud-Based VANETs

Zhan,

Xie,

Shi

et al. 2024

Sensors

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Secure group communication in Vehicle Ad hoc Networks (VANETs) over open channels remains a challenging task. To enable secure group communications with conditional privacy, it is necessary to establish a secure session using Authenticated Key Agreement (AKA). However, existing AKAs suffer from problems such as cross-domain dynamic group session key negotiation and heavy computational burdens on the Trusted Authority (TA) and vehicles. To address these challenges, we propose a dynamic privacy-preserving anonymous authentication scheme for condition matching in fog-cloud-based VANETs. The scheme employs general Elliptic Curve Cryptosystem (ECC) technology and fog-cloud computing methods to decrease computational overhead for On-Board Units (OBUs) and supports multiple TAs for improved service quality and robustness. Furthermore, certificateless technology alleviates TAs of key management burdens. The security analysis indicates that our solution satisfies the communication security and privacy requirements. Experimental simulations verify that our method achieves optimal overall performance with lower computational costs and smaller communication overhead compared to state-of-the-art solutions.

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Section: Related Workmentioning

confidence: 99%