Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels
Physical layer security is a promising research direction for the fifth-generation and beyond networks. This paper investigates the physical layer security of massive multiple-input multiple-output (MIMO) systems over spatially-uncorrelated Rician fading channels in time-division duplex mode. In suc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9965391/ |
| _version_ | 1828175727050096640 |
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| author | Giang Quynh Le Vu Hung Tran Trinh Van Chien Le Nhat Thang Kien Trung Truong |
| author_facet | Giang Quynh Le Vu Hung Tran Trinh Van Chien Le Nhat Thang Kien Trung Truong |
| author_sort | Giang Quynh Le Vu |
| collection | DOAJ |
| description | Physical layer security is a promising research direction for the fifth-generation and beyond networks. This paper investigates the physical layer security of massive multiple-input multiple-output (MIMO) systems over spatially-uncorrelated Rician fading channels in time-division duplex mode. In such systems, uplink training stage is required for the base station to estimate channel state information (CSI) for design downlink precoding matrices and for uplink data detection. Illegitimate users, or attackers, could intentionally send jamming signals during the training stage to degrade the quality of the CSI obtained at the base station, thus affecting the performance. In this paper, we propose a method for detecting the presence of an attacker. Based on the fundamental properties of Massive MIMO communication, the base station can treat the jamming signals as additive white Gaussian noise. A threshold to detect the existence of the attacker is, therefore, computed in closed-form expression with a sufficiently large number of antennas at the base station. The key merit of our proposed method is that it only requires statistical channel state information and two training time slots to detect the jamming activity. Numerical results show that our proposed attacker-detecting method is effective over various system parameter settings. Furthermore, the benefits of the dominant line-of-sight (LoS) components have been testified. In particular, the detection probability is improved by about 1.5 times with the presence of the LoS components, while the false-alarm probability gets improved by more than ten folds. |
| first_indexed | 2024-04-12T04:32:05Z |
| format | Article |
| id | doaj.art-1b205f0a6da84a41ad2f0a052826dad3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T04:32:05Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1b205f0a6da84a41ad2f0a052826dad32022-12-22T03:47:55ZengIEEEIEEE Access2169-35362022-01-011012548912549810.1109/ACCESS.2022.32254529965391Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading ChannelsGiang Quynh Le Vu0Hung Tran1https://orcid.org/0000-0001-6836-5151Trinh Van Chien2https://orcid.org/0000-0002-5675-8414Le Nhat Thang3Kien Trung Truong4https://orcid.org/0000-0003-2934-7924Faculty of Information Technology, National Academy of Education Management, Hanoi, VietnamFaculty of Computer Science, Phenikaa University, Hanoi, VietnamSchool of Information and Communication Technology (SoICT), Hanoi University of Science and Technology, Hanoi, VietnamPosts and Telecommunication Institute of Technology, Hanoi, VietnamUndergraduate Faculty, Fulbright University Vietnam, Ho Chi Minh City, VietnamPhysical layer security is a promising research direction for the fifth-generation and beyond networks. This paper investigates the physical layer security of massive multiple-input multiple-output (MIMO) systems over spatially-uncorrelated Rician fading channels in time-division duplex mode. In such systems, uplink training stage is required for the base station to estimate channel state information (CSI) for design downlink precoding matrices and for uplink data detection. Illegitimate users, or attackers, could intentionally send jamming signals during the training stage to degrade the quality of the CSI obtained at the base station, thus affecting the performance. In this paper, we propose a method for detecting the presence of an attacker. Based on the fundamental properties of Massive MIMO communication, the base station can treat the jamming signals as additive white Gaussian noise. A threshold to detect the existence of the attacker is, therefore, computed in closed-form expression with a sufficiently large number of antennas at the base station. The key merit of our proposed method is that it only requires statistical channel state information and two training time slots to detect the jamming activity. Numerical results show that our proposed attacker-detecting method is effective over various system parameter settings. Furthermore, the benefits of the dominant line-of-sight (LoS) components have been testified. In particular, the detection probability is improved by about 1.5 times with the presence of the LoS components, while the false-alarm probability gets improved by more than ten folds.https://ieeexplore.ieee.org/document/9965391/Massive MIMOphysical layer securitysecrecy capacityRician fadingjammer/attacker detectionpilot contamination |
| spellingShingle | Giang Quynh Le Vu Hung Tran Trinh Van Chien Le Nhat Thang Kien Trung Truong Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels IEEE Access Massive MIMO physical layer security secrecy capacity Rician fading jammer/attacker detection pilot contamination |
| title | Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels |
| title_full | Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels |
| title_fullStr | Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels |
| title_full_unstemmed | Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels |
| title_short | Attacker Detection in Massive MIMO Systems Over Spatially Uncorrelated Rician Fading Channels |
| title_sort | attacker detection in massive mimo systems over spatially uncorrelated rician fading channels |
| topic | Massive MIMO physical layer security secrecy capacity Rician fading jammer/attacker detection pilot contamination |
| url | https://ieeexplore.ieee.org/document/9965391/ |
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