Flamer: Flexible-Authorized Message Classification Against Message Recovery Attacks in Social IoV

The social Internet of Vehicles (SIoV) is promoting the deep integration of social networks into IoV systems, emphasizing the social communications and structures of cloud-assisted vehicle-to-vehicle socialization. Towards secure SIoV message classification, the methodology of certificateless public key encryption with equality test (CL-PKEET) is adopted. Nonetheless, existing solutions typically address threats only from either the vehicle side or the social cloud server side. Specifically, a vehicle may obtain private information via performing unauthorized public equality retrieval; and the cloud may launch message recovery attacks via exhaustively testing potential guessing messages. To simultaneously address threats from both sides, we present Flamer, a secure SIoV message classification system with Flexible-authorization that resists message recovery attacks. Technically, we revisit the dual-server architecture and roughly combine the flexible authorization mechanism into CL-PKEET. Beside presenting formal construction and security analysis, we implement state-of-the-art solutions and Flamer in real cloud environment. Extensive experiments under public dataset, along with network and traffic simulations, are conducted to confirm the practical performance of Flamer. It outperforms state-ofthe-art solutions by running 1.2× ∼ 1.58× faster for message classification, across the corresponding four authorization types with time efficiency improvements ranging from 1.84× to 5.5×.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-09-16
DOI
https://doi.org/10.1109/tvt.2025.3610849
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Flamer: Flexible-Authorized Message Classification Against Message Recovery Attacks in Social IoV

Kai Zhang, Jianting Ning, Liangliang Wang, Meng Wu
IEEE Transactions on Vehicular Technology
Network Security and Intrusion Detection
article

Flamer: Flexible-Authorized Message Classification Against Message Recovery Attacks in Social IoV

Kai Zhang, Jianting Ning, Liangliang Wang, Meng Wu
article en

Abstract

The social Internet of Vehicles (SIoV) is promoting the deep integration of social networks into IoV systems, emphasizing the social communications and structures of cloud-assisted vehicle-to-vehicle socialization. Towards secure SIoV message classification, the methodology of certificateless public key encryption with equality test (CL-PKEET) is adopted. Nonetheless, existing solutions typically address threats only from either the vehicle side or the social cloud server side. Specifically, a vehicle may obtain private information via performing unauthorized public equality retrieval; and the cloud may launch message recovery attacks via exhaustively testing potential guessing messages. To simultaneously address threats from both sides, we present Flamer, a secure SIoV message classification system with Flexible-authorization that resists message recovery attacks. Technically, we revisit the dual-server architecture and roughly combine the flexible authorization mechanism into CL-PKEET. Beside presenting formal construction and security analysis, we implement state-of-the-art solutions and Flamer in real cloud environment. Extensive experiments under public dataset, along with network and traffic simulations, are conducted to confirm the practical performance of Flamer. It outperforms state-ofthe-art solutions by running 1.2× ∼ 1.58× faster for message classification, across the corresponding four authorization types with time efficiency improvements ranging from 1.84× to 5.5×.

IEEE Transactions on Vehicular TechnologyVol. 75(3)
Shanghai University of Electric Power (CN), Wuhan University (CN), City University of Macau (MO)
Openalex Percentile: Top 71%
Network Security and Intrusion Detection
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