An Anonymous Authenticated Group Key Agreement Scheme for Transfer Learning Edge Services Systems
Authors: 
Xiangwei Meng, Wei Liang, Zisang Xu, Kuanching Li, Muhammad Khurram Khan, Xiaoyan KuiAuthors Info & Claims
Article No.: 75, Pages 1 - 23
Abstract
The visual information processing technology based on deep learning can play many important yet assistant roles for unmanned aerial vehicles (UAV) navigation in complex environments. Traditional centralized architectures usually rely on a cloud server to perform model inference tasks, which can lead to long communication latency. Using transfer learning to unload deep neural networks to the edge-fog collaborative networks has become a new paradigm for dealing with the conflicts between computing resources and communication latency. However, ensuring the security of edge-fog collaborative networks entity remains challenging. For such, we propose an anonymous authentication and group key agreement scheme for the UAV-enabled edge-fog collaborative networks, consisting of the UAV authentication protocol and the collaborative networks authentication protocol. Utilizing the AVISPA assessment tool and security analysis, the security requirements and functional features of the proposed scheme are demonstrated. From the performance results of the proposed scheme, we show that it is superior to existing authentication schemes and promising.
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- An Anonymous Authenticated Group Key Agreement Scheme for Transfer Learning Edge Services Systems
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Publication History
Published: 06 May 2024
Online AM: 10 April 2024
Accepted: 27 March 2024
Revised: 21 November 2023
Received: 31 December 2022
Published in TOSN Volume 20, Issue 3
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- National Natural Science Foundation of China
- Science and Technology Project of the Department of Communications of Hunan Provincial
- Key Research and Development Program of Hunan Province
- Hunan Provincial Natural Science Foundation of China
- Central South University Research Programme of Advanced Interdisciplinary Studies
- King Saud University, Riyadh, Saudi Arabia
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