Yasir Ali Farrukh
Orcid: 0009-0004-1619-6834
According to our database1,
Yasir Ali Farrukh
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model.
CoRR, 2024
Comput. Secur., 2024
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection.
Proceedings of the IEEE International Conference on Communications, 2024
2023
SeNet-I: An approach for detecting network intrusions through serialized network traffic images.
Eng. Appl. Artif. Intell., November, 2023
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection.
Proceedings of the IEEE Military Communications Conference, 2023
2022
Development of Open-Source, Edge Energy Management System for Tactical Power Networks.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2022
2021
An Autonomous Self-Incremental Learning Approach for Detection of Cyber Attacks on Unmanned Aerial Vehicles (UAVs).
CoRR, 2021
A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System.
CoRR, 2021