activity
20212025
most citedXG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments

Yasir Ali Farrukh, Syed Wali, Irfan Khan +1

Unsupervised Domain Adaptation (UDA) is a critical challenge in real-world vision systems, especially in resource-constrained environments like drones, where memory and computation…

cs.CR2024★ 5 cited

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

Yasir Ali Farrukh, Syed Wali, Irfan Khan +1

In the rapidly evolving field of cybersecurity, the integration of flow-level and packet-level information for real-time intrusion detection remains a largely untapped area of rese…

cs.CR2023

ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection

Irfan Khan, Yasir Ali Farrukh, Syed Wali

In the ever-evolving realm of network security, the swift and accurate identification of diverse attack classes within network traffic is of paramount importance. This paper introd…

cs.CR2023★ 1 cited

Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection

Yasir Ali Farrukh, Syed Wali, Irfan Khan +1

The widespread integration of Internet of Things (IoT) devices across all facets of life has ushered in an era of interconnectedness, creating new avenues for cybersecurity challen…

cs.CR2021★ 1 cited

An Autonomous Self-Incremental Learning Approach for Detection of Cyber Attacks on Unmanned Aerial Vehicles (UAVs)

Yasir Ali Farrukh, Irfan Khan

As the technological advancement and capabilities of automated systems have increased drastically, the usage of unmanned aerial vehicles for performing human-dependent tasks withou…

cs.CR2021

A Sequential Supervised Machine Learning Approach for Cyber Attack Detection in a Smart Grid System

Yasir Ali Farrukh, Irfan Khan, Zeeshan Ahmad +1

Modern smart grid systems are heavily dependent on Information and Communication Technology, and this dependency makes them prone to cyberattacks. The occurrence of a cyberattack h…