Detection of Pilot Contamination Attack for Frequency Selective Channels

Physical layer security (PLS) provides an additional protection layer to the conventional encryption in the presence of an active eavesdropper (Eve). The detection of pilot contamination attack (PCA) on legitimate nodes by the active Eve is vital in order to mitigate the effect of the attack. In thi...

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Main Authors: Awais Ahmed, Muhammad Zia, Ihsan Ul Haq, Huy-Dung Han
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9130682/
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spelling doaj-78ddde051bc346368dc1eec8f40a15312021-03-30T02:00:25ZengIEEEIEEE Access2169-35362020-01-01812396612397810.1109/ACCESS.2020.30062819130682Detection of Pilot Contamination Attack for Frequency Selective ChannelsAwais Ahmed0https://orcid.org/0000-0002-1514-4643Muhammad Zia1https://orcid.org/0000-0002-6403-0220Ihsan Ul Haq2https://orcid.org/0000-0002-5692-1250Huy-Dung Han3https://orcid.org/0000-0002-9121-050XDepartment of Electronics, Quaid-i-Azam University, Islamabad, PakistanDepartment of Electronics, Quaid-i-Azam University, Islamabad, PakistanDepartment of Electrical Engineering, International Islamic University, Islamabad, Islamabad, PakistanFaculty of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, VietnamPhysical layer security (PLS) provides an additional protection layer to the conventional encryption in the presence of an active eavesdropper (Eve). The detection of pilot contamination attack (PCA) on legitimate nodes by the active Eve is vital in order to mitigate the effect of the attack. In this work, we propose a novel PCA detector for the nodes, which intend to establish secure communication in time division duplex (TDD) mode over a frequency selective channel. We devise binary hypothesis from the decision directed channel estimate for PCA detection by exploiting observations of pilot sequence and random data in pilot and data phases, respectively. We also provide performance analysis of the proposed method. The comparison of simulation results and analysis demonstrates the accuracy of the analysis. The proposed detector has low probability of detection error as compared to the existing high complexity sub-space based PCA detector.https://ieeexplore.ieee.org/document/9130682/Active eavesdroppingphysical layer securitypilot contamination attackPCA detection
collection DOAJ
language English
format Article
sources DOAJ
author Awais Ahmed
Muhammad Zia
Ihsan Ul Haq
Huy-Dung Han
spellingShingle Awais Ahmed
Muhammad Zia
Ihsan Ul Haq
Huy-Dung Han
Detection of Pilot Contamination Attack for Frequency Selective Channels
IEEE Access
Active eavesdropping
physical layer security
pilot contamination attack
PCA detection
author_facet Awais Ahmed
Muhammad Zia
Ihsan Ul Haq
Huy-Dung Han
author_sort Awais Ahmed
title Detection of Pilot Contamination Attack for Frequency Selective Channels
title_short Detection of Pilot Contamination Attack for Frequency Selective Channels
title_full Detection of Pilot Contamination Attack for Frequency Selective Channels
title_fullStr Detection of Pilot Contamination Attack for Frequency Selective Channels
title_full_unstemmed Detection of Pilot Contamination Attack for Frequency Selective Channels
title_sort detection of pilot contamination attack for frequency selective channels
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Physical layer security (PLS) provides an additional protection layer to the conventional encryption in the presence of an active eavesdropper (Eve). The detection of pilot contamination attack (PCA) on legitimate nodes by the active Eve is vital in order to mitigate the effect of the attack. In this work, we propose a novel PCA detector for the nodes, which intend to establish secure communication in time division duplex (TDD) mode over a frequency selective channel. We devise binary hypothesis from the decision directed channel estimate for PCA detection by exploiting observations of pilot sequence and random data in pilot and data phases, respectively. We also provide performance analysis of the proposed method. The comparison of simulation results and analysis demonstrates the accuracy of the analysis. The proposed detector has low probability of detection error as compared to the existing high complexity sub-space based PCA detector.
topic Active eavesdropping
physical layer security
pilot contamination attack
PCA detection
url https://ieeexplore.ieee.org/document/9130682/
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AT muhammadzia detectionofpilotcontaminationattackforfrequencyselectivechannels
AT ihsanulhaq detectionofpilotcontaminationattackforfrequencyselectivechannels
AT huydunghan detectionofpilotcontaminationattackforfrequencyselectivechannels
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