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ER-CGKA: Efficient and robust continuous group key agreement scheme with post-compromise forward security for IoV
Guishuang Xu1,2, Xinchun Yin1,2,3, Xincheng Li1,2
1College of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.
A new efficient group key agreement scheme for the Internet of Vehicles (IoV) ensures post-compromise forward security (PCFS) by resisting malicious attacks and reducing computational load. This robust scheme enhances secure vehicular communications and protects vehicle privacy.
Area of Science:
- Cybersecurity
- Intelligent Transportation Systems
- Network Security
Background:
- Internet of Vehicles (IoV) communication is vital for intelligent transportation but vulnerable to malicious attacks.
- Existing authentication protocols struggle to guarantee post-compromise forward security (PCFS) when group members are compromised.
- Dynamic key rotation for PCFS incurs significant computational and communication overhead.
Purpose of the Study:
- To design an efficient and robust continuous group key agreement (ER-CGKA) scheme for IoV.
- To address the challenge of achieving PCFS in compromised IoV environments.
- To reduce the computational and communication burden associated with secure key agreement.
Main Methods:
- Employed a propose-and-commit flow for asynchronous group key updates.
- Utilized the TreeKEM architecture to minimize computation cost and communication overhead.
- Integrated a threshold mechanism to defend against collusion attacks from malicious vehicles.
Main Results:
- The proposed ER-CGKA scheme satisfies fundamental IoV security requirements and achieves PCFS.
- Demonstrated significant reductions in computation cost: approximately 18.82% for clients and 33.18% for cloud servers (CS).
- Observed an approximate 55.57% increase in communication overhead due to the use of pseudonyms for privacy preservation.
Conclusions:
- The ER-CGKA scheme offers a secure and practical solution for key agreement in IoV.
- The scheme effectively enhances security and privacy while managing computational and communication efficiency.
- The findings contribute to more secure and reliable intelligent transportation systems.
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