Security-Enhanced Data Transmission With Fine-Grained and Flexible Revocation for DTWNs

The diverse properties of wireless networks are fulfilled with the assistance of digital twin (DT), which utilizes a virtual model of the physical object (PO) to provide predictions and control decisions. However, the open wireless channels and key leakage of compromised entities (including DT and PO) pose significant security issues, highlighting the need for secure data transmission schemes. Meanwhile, it is impractical to directly apply the existing works and cryptographic primitives to DT-empowered wireless networks (DTWNs) due to the absence of a solution to capture the security requirements comprehensively. Moreover, the essential characteristics for protecting historical data cannot be met. Therefore, this paper proposes a security-enhanced data transmission scheme with fine-grained and flexible revocation by customizing a novel cryptographic primitive named forward-secure puncturable signed encryption (FS-PSE). Our scheme enables confidential data dissemination/acquisition between the physical and virtual space while ensuring authentication of the real-time information and feedback results. In addition, three revocation modes are defined. Based on these modes, the entities can flexibly revoke any decryption-&-signature, decryption, and signature capability in a fine-grained approach, thereby providing security protections for the historically transmitted data even though the entity is compromised. Moreover, our scheme is instantiated with a concrete FS-PSE construction and extended to support outsourced computing to improve efficiency. Finally, the formal security proof and performance evaluation demonstrate the security and practicality of our scheme.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2024-12-27
DOI
https://doi.org/10.1109/tifs.2024.3523765
Citations
8
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
1.67

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article

Security-Enhanced Data Transmission With Fine-Grained and Flexible Revocation for DTWNs

Yang Ming, Yi Zhao, Yutong Deng, Songnian Zhang et al.
8 citations
IEEE Transactions on Information Forensics and Security
Optical Network Technologies
1.67
article

Security-Enhanced Data Transmission With Fine-Grained and Flexible Revocation for DTWNs

Yang Ming, Yi Zhao, Yutong Deng, Songnian Zhang, Hang Liu, Chenhao Wang
article en
8 citations

Abstract

The diverse properties of wireless networks are fulfilled with the assistance of digital twin (DT), which utilizes a virtual model of the physical object (PO) to provide predictions and control decisions. However, the open wireless channels and key leakage of compromised entities (including DT and PO) pose significant security issues, highlighting the need for secure data transmission schemes. Meanwhile, it is impractical to directly apply the existing works and cryptographic primitives to DT-empowered wireless networks (DTWNs) due to the absence of a solution to capture the security requirements comprehensively. Moreover, the essential characteristics for protecting historical data cannot be met. Therefore, this paper proposes a security-enhanced data transmission scheme with fine-grained and flexible revocation by customizing a novel cryptographic primitive named forward-secure puncturable signed encryption (FS-PSE). Our scheme enables confidential data dissemination/acquisition between the physical and virtual space while ensuring authentication of the real-time information and feedback results. In addition, three revocation modes are defined. Based on these modes, the entities can flexibly revoke any decryption-&-signature, decryption, and signature capability in a fine-grained approach, thereby providing security protections for the historically transmitted data even though the entity is compromised. Moreover, our scheme is instantiated with a concrete FS-PSE construction and extended to support outsourced computing to improve efficiency. Finally, the formal security proof and performance evaluation demonstrate the security and practicality of our scheme.

IEEE Transactions on Information Forensics and SecurityVol. 20
Xidian University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Optical Network Technologies
1.67
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