Yasir Ali Farrukh

Orcid: 0009-0004-1619-6834

According to our database1, Yasir Ali Farrukh authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model.
CoRR, 2024

AIS-NIDS: An intelligent and self-sustaining network intrusion detection system.
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


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