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The Department of Computer Science held a PhD defense

Ph.D student Ali Hasan Muosa defended his dissertation entitled “Detecting Internet BGP Routing Anomalies Using LSTM-AE”. A hybrid learning model, the Long Short-Term Memory-based Autoencoders network (LSTM-AE) with dynamic threshold and dynamic features selection through window slides were studied. The proposed model can detect 11 events in all kinds of anomalies through all-kind features (AS-path, volume, and distribution). In fact, it was collected for well-known anomalous internet events over three days at one-minute, five-minutes, and ten-minutes intervals. Thirty-three collectors and ASes could detect anomalies, resulting in 89 datasets; with various timelines and 89900 samples. The defense was accepted with success.

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The Faculty of Computer Science and Mathematics discussed a doctoral thesis entitled “Security Cloud System for Malware Detection based on Data Mining Techniques”.

‪The dissertation presented by PhD student Ghaith Mussa Hamza, under the supervision of Asst. Prof. …

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