Zhenbin Guo

Dr. Zhenbin Guo

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 February 2025 in IEEE Transactions on Vehicular Technology
Verified
Journal Article
Closed access
XLXin Liu
Xin Liu
MWMiao Wang
Miao Wang
HJHaikun Jing
Haikun Jing
RZRuisheng Zhang
Ruisheng Zhang
ZGZhenbin Guo
Zhenbin Guo
In recent years, vehicular ad hoc networks (VANETs) are widely used in transportation and daily life. Because the driving information of a vehicle is transmitted via the public channels of VANETs, the driving information is vulnerable to eavesdropping and tampering. Therefore, ensuring the security of VANETs is particularly important. However, most works assume that the environment of roadside units and on-board units is completely safe, which is an unreasonable stance to take as VANETs are evidently vulnerable to privileged user attack and malware attack. In order to solve this weakness and improve the practicability of VANETs, we adopted Confidential Computing technology and proposed a secure authentication scheme. Our scheme adopted decentralized network architecture and achieved dynamic authentication credentials. In addition, we not only proposed a lightweight vehicle-to-infrastructure authentication scheme, but also proposed the vehicle-to-vehicle authentication scheme. We adopted ROR, AVISPA tools and rigorously informal security analysis to prove the security of the proposed scheme. In addition, we analyzed the detailed overheads and adopted NS-3 to conduct the performance analysis. Finally, the results of the security analysis, performance analysis, and comparison analysis proved the effectiveness of our proposed scheme to provide security and protection.

12 March 2026 in Electronics
Verified
Journal Article
Open access
PDF file
ZGZhenbin Guo
Zhenbin Guo
YLYang Liu
Yang Liu
WHWenchen He
Wenchen He
XHXiaoxu Hu
Xiaoxu Hu
HZHua Zhang
Hua Zhang
TTTengfei Tu
Tengfei Tu
The Industrial Internet of Things (IIoT) enhances industrial efficiency but also introduces substantial security challenges. Authentication is a key building block for securing IIoT networks. However, many recent IoT authentication schemes rely on offline registration and transmit temporary identity credentials in plaintext during registration, which exposes them to privileged-user attacks and limits their practicality in complex deployment scenarios. To address these issues, this paper presents an efficient three-factor authentication scheme with secure online registration for IIoT. The proposed scheme leverages Intel Software Guard Extensions (SGX) to protect the registration master key and support online registration. In addition, a dynamic credential update mechanism is introduced to mitigate privileged-user attacks. The security of the scheme is validated through ProVerif-based formal verification and informal security analysis, while its performance is evaluated through comparative analysis and NS-3 simulations. The results demonstrate that the proposed scheme provides enhanced security with low overhead, making it suitable for IIoT environments.

1 January 2026 in IEEE Transactions on Information Forensics and Security
Verified
Journal Article
Closed access
ZGZhenbin Guo
Zhenbin Guo
SWShihong Wu
Shihong Wu
Yuchuan LuoYuchuan Luo
Yuchuan Luo
MXMing Xu
Ming Xu
Shaojing FuShaojing Fu
Shaojing Fu