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Authors: Ting Ma, Feng Hu, and Maode Ma
ICIT '19: Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City
December 2019
Pages 275 - 278
Published: 20 March 2020 Publication History
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Abstract
The upcoming 5G ultra wideband mobile network is expected to provide a fundamental framework for a huge number of devices, which indicates the presence of dynamical users join and leave events. Due to highly heterogeneous architecture, it is crucial to address security in 5G HetNets. In this paper, we focus on presenting a mutual physical layer handover authentication approach for software-defined networking (SDN) assisted 5G HetNets. The legitimacy of user equipment (UE) and access points (AP) are both verified based on extracted physical layer characteristics of wireless channel links with the help of base station (BS). Furthermore, a verification is employed to enhance authentication performance. The parameters of are discussed in our simulations and Figure of Merit (FoM) is applied in the simulation to evaluate the performance of proposed authentication scheme.
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T. Ma, F. Hu and Maode Ma. 2017. Fast and efficient physical layer authentication for 5G HetNet handover. In Proceedings of 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), Melbourne, VIC, Australia, Nov. 2017, pp. 1--3.
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S. Rumpel, A. Wolf and E. A. Jorswieck. 2016. Physical layer based authentication without phase detection. In Proceedings of 50th Asilomar Conference on Signals Systems and Computers. Pacific Grove, CA, USA, Nov 2016, pp. 1675--1679.
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J. Yang, X. Ji, K. Huang, Y. Chen, X. Xu and M. Yi.2019. Unified and fast handover authentication based on link signatures in 5G SDN-based HetNet. IET Commun., Vol. 13, No. 2, pp. 144--152.
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Cited By
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- Sharma HSharma GKumar N(2024)AI-assisted secure data transmission techniques for next-generation HetNets: A reviewComputer Communications10.1016/j.comcom.2023.12.015215(74-90)Online publication date: Feb-2024
- Sodhro AAwad ABeek JNikolakopoulos G(2022)Intelligent authentication of 5G healthcare devices: A surveyInternet of Things10.1016/j.iot.2022.10061020(100610)Online publication date: Nov-2022
- Reus-Muns GJaisinghani DSankhe KChowdhury K(2020)Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR PlatformGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9348261(1-6)Online publication date: Dec-2020
Index Terms
Securing 5G HetNets Using Mutual Physical Layer Authentication
Security and privacy
Security services
Authentication
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Published In
ICIT '19: Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City
December 2019
601 pages
ISBN:9781450376631
DOI:10.1145/3377170
Copyright © 2019 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [emailprotected]
In-Cooperation
- Shanghai Jiao Tong University: Shanghai Jiao Tong University
- The Hong Kong Polytechnic: The Hong Kong Polytechnic University
- University of Malaya: University of Malaya
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 March 2020
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Author Tags
- 5G HetNets
- Physical layer authentication
- authentication
Qualifiers
- Research-article
- Research
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ICIT 2019
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Cited By
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- Sharma HSharma GKumar N(2024)AI-assisted secure data transmission techniques for next-generation HetNets: A reviewComputer Communications10.1016/j.comcom.2023.12.015215(74-90)Online publication date: Feb-2024
- Sodhro AAwad ABeek JNikolakopoulos G(2022)Intelligent authentication of 5G healthcare devices: A surveyInternet of Things10.1016/j.iot.2022.10061020(100610)Online publication date: Nov-2022
- Reus-Muns GJaisinghani DSankhe KChowdhury K(2020)Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR PlatformGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9348261(1-6)Online publication date: Dec-2020
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