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Zhile Tai

dblp:436/3347 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0004-0758-9185ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 87% Authentication and access control · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › functional encryption
attribute-based encryption
1.012026
Traceable and Revocable Multi-Authority Attribute-Based Encryption With Cloud and Fog Computing Feasible for IoV · IEEE Trans. Dependable Secur. Comput. 2026
Cryptographic primitives and cryptanalysis › functional encryption › attribute-based encryption
multi-authority attribute-based encryption
1.012026
Traceable and Revocable Multi-Authority Attribute-Based Encryption With Cloud and Fog Computing Feasible for IoV · IEEE Trans. Dependable Secur. Comput. 2026
Authentication and access control › access control
fine-grained access control
0.312026
Traceable and Revocable Multi-Authority Attribute-Based Encryption With Cloud and Fog Computing Feasible for IoV · IEEE Trans. Dependable Secur. Comput. 2026

Methods — techniques the papers use, named apart from their topics

key update · 1.0attribute revocation · 1.0
YearPublicationVenuePosition
2026 Traceable and Revocable Multi-Authority Attribute-Based Encryption With Cloud and Fog Computing Feasible for IoV
abstract
With the wide application of cloud and fog computing, fog devices deployed in scenarios such as the Internet of Vehicles (IoV) are faced with the need to share massive amounts of data, which makes it crucial to implement fine-grained data access control. However, data transmission between fog devices and vehicles in the IoV is highly susceptible to eavesdropping, tampering, and other attacks by malicious vehicles. Most of the existing attribute-based encryption schemes rely on periodic key updates to enable malicious user tracking and attribute revocation, but they cannot meet the demand for real-time security response in the IoV. For this reason, we propose traceable and revocable multi-authority attribute-based encryption with cloud and fog computing (TR-MAABE-CFC). We elaborate on the system model, rigorously define the concepts, and build the security model for TR-MAABE-CFC. Subsequently, we construct a specific implementation scheme for TR-MAABE CFC. Our proposed solution provides fine-grained access control mechanisms, enables the identification of malicious entities, and supports precise attribute revocation. It can be effectively put into practice in cloud and fog computing scenarios. Experimental findings show that our scheme demonstrates superior decryption efficiency and is highly compatible with intelligent transportation system scenarios, making it a viable solution for the IoV.
Liqing Chen, Zhile Tai, Jian Weng 0001, Zhiquan Liu 0001
IEEE Trans. Dependable Secur. Comput.2