Visible to the public False Data Injection Attack Detection Before Decoding in DF Cooperative Relay Network

TitleFalse Data Injection Attack Detection Before Decoding in DF Cooperative Relay Network
Publication TypeConference Paper
Year of Publication2020
AuthorsDing, Xinyao, Wang, Yan
Conference Name2020 Asia Conference on Computers and Communications (ACCC)
Date PublishedSept. 2020
PublisherIEEE
ISBN Number978-1-7281-8967-3
Keywordscomposability, cyber physical systems, Decoding, Detectors, DF cooperative relay network, False Data Detection, FDI attack detection, Human Behavior, human factors, outage probability, Physical layer, power system reliability, probability, pubcrawl, relay networks (telecommunication), resilience, Resiliency, Signal to noise ratio, unified error sufficient statistic
AbstractFalse data injection (FDI) attacks could happen in decode-and-forward (DF) wireless cooperative relay networks. Although physical integrity check (PIC) can combat that by applying physical layer detection, the detector depends on the decoding results and low signal-to-noise ratio (SNR) further deteriorates the detecting results. In this paper, a physical layer detect-before-decode (DbD) method is proposed, which has low computational complexity with no sacrifice of false alarm and miss detection rates. One significant advantage of this method is the detector does not depend on the decoding results. In order to implement the proposed DbD method, a unified error sufficient statistic (UESS) containing the full information of FDI attacks is constructed. The proposed UESS simplifies the detector because it is applicable to all link conditions, which means there is no need to deal each link condition with a specialized sufficient statistic. Moreover, the source to destination outage probability (S2Dop) of the DF cooperative relay network utilizing the proposed DbD method is studied. Finally, numerical simulations verify the good performance of this DbD method.
URLhttps://ieeexplore.ieee.org/document/9347896
DOI10.1109/ACCC51160.2020.9347896
Citation Keyding_false_2020