• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Vulnerabilities of Massive MIMO Systems to Pilot Contamination Attacks

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    PilCon_TIFS_minor.pdf
    Size:
    995.8Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Akgun, Berk
    Krunz, Marwan
    Ozan Koyluoglu, O.
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2018-10-22
    
    Metadata
    Show full item record
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Citation
    B. Akgun, M. Krunz and O. Ozan Koyluoglu, "Vulnerabilities of Massive MIMO Systems to Pilot Contamination Attacks," in IEEE Transactions on Information Forensics and Security, vol. 14, no. 5, pp. 1251-1263, May 2019. doi: 10.1109/TIFS.2018.2876750
    Journal
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
    Rights
    © 2018 IEEE
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We consider a single-cell massive multiple-input multiple-output (MIMO) system in which a base station (BS) with a large number of antennas transmits simultaneously to several single-antenna users. The BS acquires the channel state information (CSI) for various receivers using uplink pilot transmissions. We demonstrate the vulnerability of the CSI estimation process to pilot-contamination (PC) attacks. In our attack model, the attacker aims at minimizing the sum rate of downlink transmissions by contaminating the uplink pilots. We first study these attacks for two downlink power allocation strategies under the assumption that the attacker knows the locations of the BS and its users. Later on, we relax this assumption and consider the case when such knowledge is probabilistic. The formulated problems are solved using stochastic optimization, Lagrangian minimization, and game-theoretic methods. A closed-form solution for a special case of the problem is obtained. Furthermore, we analyze the achievable individual secrecy rates under PC attacks and provide an upper bound on these rates. We also study this scenario without a priori knowledge of user locations at the attacker by introducing chance constraints. Our results indicate that such attacks can degrade the throughput of a massive MIMO system by more than 50%.
    ISSN
    1556-6013
    1556-6021
    DOI
    10.1109/TIFS.2018.2876750
    Version
    Final accepted manuscript
    Sponsors
    National Science Foundation [CNS-1409172, CNS-1513649, IIP-1265960, CNS-1748692]; Qatar Foundation [NPRP 8-052-2-029]
    Additional Links
    https://ieeexplore.ieee.org/document/8501977/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TIFS.2018.2876750
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.