On the handover security key update and residence management in LTE networks

Vien, Quoc-Tuan ORCID logoORCID: https://orcid.org/0000-0001-5490-904X, Le, Tuan Anh ORCID logoORCID: https://orcid.org/0000-0003-0612-3717, Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556 and Duong, Trung Q. (2017) On the handover security key update and residence management in LTE networks. IEEE Wireless Communications and Networking Conference (WCNC 2017). In: IEEE Wireless Communications and Networking Conference (WCNC 2017), 19-22 Mar 2017, San Francisco, CA, USA. ISBN 978-1-5090-4183-1. ISSN 1558-2612 [Conference or Workshop Item] (doi:10.1109/WCNC.2017.7925678)

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Abstract

In LTE networks, key update and residence management have been investigated as an effective solution to cope with desynchronization attacks in mobility management entity (MME) handovers. In this paper, we first analyse the impacts of the key update interval (KUI) and MME residence interval (MRI) on the handover performance in terms of the number of exposed packets (NEP) and signaling overhead rate (SOR). By deriving the bounds of the NEP and SOR over the KUI and MRI, it is shown that there exists a tradeoff between the NEP and the SOR, while our aim is to minimise both of them simultaneously. This accordingly motivates us to propose a multiobjective optimisation problem to find the optimal KUI and MRI that minimise both the NEP and SOR. By introducing a relative importance factor between the SOR and NEP along with their derived bounds, we further transform the proposed optimisation problem into a single-objective optimisation problem which can be solved via a simple numerical method. In particular, the results show that a higher accuracy of up to 1 second is achieved with the proposed approach while requiring a lower complexity compared to the conventional approach employing iterative searches.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 21818
Notes on copyright: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Quoc-Tuan Vien
Date Deposited: 12 May 2017 15:17
Last Modified: 29 Nov 2022 20:55
URI: https://eprints.mdx.ac.uk/id/eprint/21818

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