LSHSC: Lightweight and Secure Handover Scheme With Conditional Privacy-Preserving for Group-Based SDVN

Introducing the SDN paradigm can further improve the handover efficiency of mobile nodes, and researchers have proposed corresponding solutions to the security problems in the handover process. Some existing cryptography-based schemes delegate authentication to the fog nodes to accelerate the handover process, however, the computation and communication overheads are not low enough to satisfy the requirements of delay-sensitive vehicular applications. To realize secure handover of vehicles in software defined vehicular networks (SDVN), in this paper, based on symmetric cryptography, we propose a lightweight and secure handover scheme with conditional privacy-preserving for group-based SDVN. The handover authentication only involves lightweight operation, without based on elliptic curve cryptography or involving complex bilinear pairing operations. After successfully authenticating with the SDN controller, the vehicle can directly authenticate with the fog nodes in the same group. The polynomial and one-way hash chain are used to realize group key update. We use BAN logic and ProVerif to formally analyze and test the security of our scheme. The detailed security analyses show that the scheme can resist common types of attacks and meet the essential security and privacy requirements. Compared with other related and represented works, our scheme exhibits better performance in computation and communication overheads.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Dependable and Secure Computing
Published
2025-02-13
DOI
https://doi.org/10.1109/tdsc.2025.3542105
Citations
3
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
7.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LSHSC: Lightweight and Secure Handover Scheme With Conditional Privacy-Preserving for Group-Based SDVN

Hong Zhong, Debiao He, Chengjie Gu, Jie Cui et al.
3 citations
IEEE Transactions on Dependable and Secure Computing
Internet Traffic Analysis and Secure E-voting
7.44
article

LSHSC: Lightweight and Secure Handover Scheme With Conditional Privacy-Preserving for Group-Based SDVN

Hong Zhong, Debiao He, Chengjie Gu, Jie Cui, Irina Bolodurina, Xiaoyu Zhang
article en
3 citations

Abstract

Introducing the SDN paradigm can further improve the handover efficiency of mobile nodes, and researchers have proposed corresponding solutions to the security problems in the handover process. Some existing cryptography-based schemes delegate authentication to the fog nodes to accelerate the handover process, however, the computation and communication overheads are not low enough to satisfy the requirements of delay-sensitive vehicular applications. To realize secure handover of vehicles in software defined vehicular networks (SDVN), in this paper, based on symmetric cryptography, we propose a lightweight and secure handover scheme with conditional privacy-preserving for group-based SDVN. The handover authentication only involves lightweight operation, without based on elliptic curve cryptography or involving complex bilinear pairing operations. After successfully authenticating with the SDN controller, the vehicle can directly authenticate with the fog nodes in the same group. The polynomial and one-way hash chain are used to realize group key update. We use BAN logic and ProVerif to formally analyze and test the security of our scheme. The detailed security analyses show that the scheme can resist common types of attacks and meet the essential security and privacy requirements. Compared with other related and represented works, our scheme exhibits better performance in computation and communication overheads.

IEEE Transactions on Dependable and Secure ComputingVol. 22(4)
Anhui University (CN), Orenburg State University (RU), Wuhan University (CN)
Openalex Percentile: Top 4%
Internet Traffic Analysis and Secure E-voting
7.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.