Deniable Identity-Based Matchmaking Encryption for Anonymous Messaging

Anonymous messaging system allows users to deliver messages without revealing the sending content and their identifiers, which has attracted ongoing concerns. However, to the best of our knowledge, all the existing solutions still fail to protect users’ privacy under coercion. That is, the user’s communication transcripts might be tracked and cached, and later coerced to reveal the underlying messages associated with the ciphertexts due to law enforcement reasons or for evil purposes. In addition, anonymity alone is not enough for some practical scenarios. For instance, a journalist just wants to communicate with those intended informants, and thereby gather information from anonymous but authenticated sources. In this paper, to address the above-mentioned issues, we introduce an authenticated and deniable anonymous messaging framework. Its core component is a new cryptographic primitive dubbed deniable identity-based matchmaking encryption (DIB-ME), which captures plausible deniability under coercion and mutual authentication without interactions simultaneously. We further present a concrete DIB-ME construction and prove its security in the random oracle model. The performance analysis indicates merits of the proposed DIB-ME scheme. We also implement the proposed DIB-ME construction and present extensive experiment results, as a proof of concept to demonstrate its soundness and practicability.

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Publication Details

Journal
IEEE Transactions on Dependable and Secure Computing
Published
2024-10-14
DOI
https://doi.org/10.1109/tdsc.2024.3479236
Citations
5
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
1.74
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article

Deniable Identity-Based Matchmaking Encryption for Anonymous Messaging

Jianghong Wei, Xinyi Huang, Yanmei Cao, Xiaofeng Chen et al.
5 citations
IEEE Transactions on Dependable and Secure Computing
Internet Traffic Analysis and Secure E-voting
1.74
article

Deniable Identity-Based Matchmaking Encryption for Anonymous Messaging

Jianghong Wei, Xinyi Huang, Yanmei Cao, Xiaofeng Chen, Yang Xiang
article en
5 citations

Abstract

Anonymous messaging system allows users to deliver messages without revealing the sending content and their identifiers, which has attracted ongoing concerns. However, to the best of our knowledge, all the existing solutions still fail to protect users’ privacy under coercion. That is, the user’s communication transcripts might be tracked and cached, and later coerced to reveal the underlying messages associated with the ciphertexts due to law enforcement reasons or for evil purposes. In addition, anonymity alone is not enough for some practical scenarios. For instance, a journalist just wants to communicate with those intended informants, and thereby gather information from anonymous but authenticated sources. In this paper, to address the above-mentioned issues, we introduce an authenticated and deniable anonymous messaging framework. Its core component is a new cryptographic primitive dubbed deniable identity-based matchmaking encryption (DIB-ME), which captures plausible deniability under coercion and mutual authentication without interactions simultaneously. We further present a concrete DIB-ME construction and prove its security in the random oracle model. The performance analysis indicates merits of the proposed DIB-ME scheme. We also implement the proposed DIB-ME construction and present extensive experiment results, as a proof of concept to demonstrate its soundness and practicability.

IEEE Transactions on Dependable and Secure ComputingVol. 22(3)
Hong Kong University of Science and Technology (HK), Integrated Chinese Medicine (China) (HK), Swinburne University of Technology (AU), University of Hong Kong (HK)
Openalex Percentile: Top 13%
Internet Traffic Analysis and Secure E-voting
1.74
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Deniable Identity-Based Matchmaking Encryption for Anonymous Messaging — Jianghong Wei, Xinyi Huang, et al. · IEEE Transactions on Dependable and Secure Computing (2024) | TGRS Research Map | TGRS