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Creators/Authors contains: "Atat, Rachad"

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Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids

https://doi.org/10.1109/TAI.2023.3286831

Takiddin, Abdulrahman ; Ismail, Muhammad ; Atat, Rachad ; Davis, Katherine R. ; Serpedin, Erchin ( July 2023 , IEEE Transactions on Artificial Intelligence)

Free, publicly-accessible full text available July 16, 2024
A Graph Neural Network Multi-Task Learning-Based Approach for Detection and Localization of Cyberattacks in Smart Grids

https://doi.org/10.1109/icassp49357.2023.10096822

Takiddin, Abdulrahman ; Atat, Rachad ; Ismail, Muhammad ; Davis, Katherine ; Serpedin, Erchin ( June 2023 , 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing)

Free, publicly-accessible full text available June 4, 2024
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids

https://doi.org/10.1109/TETCI.2022.3232821

Takiddin, Abdulrahman ; Atat, Rachad ; Ismail, Muhammad ; Boyaci, Osman ; Davis, Katherine R. ; Serpedin, Erchin ( June 2023 , IEEE Transactions on Emerging Topics in Computational Intelligence)

Free, publicly-accessible full text available June 1, 2024
Large-Scale Cascading Failure Mitigation in Power Systems via Typed-Graphlets Partitioning

https://doi.org/10.1109/ISGT51731.2023.10066436

Atat, Rachad ; Ismail, Muhammad ; Davis, Katherine R. ; Serpedin, Erchin ( January 2023 , 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT))

Full Text Available
Cognitive relay networks with energy and mutual-information accumulation

https://doi.org/10.1109/INFCOMW.2018.8406845

Atat, Rachad ; Ma, Junchao ; Chen, Hao ; Lee, Ulysses ; Ashdown, Jonathan ; Liu, Lingjia ( April 2018 , IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS))

Cognitive radio networks, a.k.a. dynamic spectrum access networks, offer a promising solution to the problems of spectrum scarcity and under-utilization. In this paper, we consider two single-user links: primary and secondary links. To increase secondary user (SU) transmission opportunities and increase primary user (PU) throughput, we consider a cognitive relay network where a SU relays PU packets that are unsuccessfully received at the primary receiver (PR). At the PR side, two protocols are suggested: i) energy accumulation (EA), and ii) mutual-information accumulation (MIA). The average stable throughput of the secondary link is derived under these protocols for a specific throughput selected by the primary link. Results show that EA and MIA can significantly improve the secondary throughput compared with the no accumulation scenario, especially under extreme environment.
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Big Data Meet Cyber-Physical Systems: A Panoramic Survey

https://doi.org/10.1109/ACCESS.2018.2878681

Atat, Rachad ; Liu, Lingjia ; Wu, Jinsong ; Li, Guangyu ; Ye, Chunxuan ; Yang, Yi ( January 2018 , IEEE Access)