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20232025
most citedFetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Developing a Transferable Federated Network Intrusion Detection System

Abu Shafin Mohammad Mahdee Jameel, Shreya Ghosh, Aly El Gamal

Intrusion Detection Systems (IDS) are a vital part of a network-connected device. In this paper, we develop a deep learning based intrusion detection system that is deployed in a d…

cs.LG2025★ 1 cited

FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm

Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

Intrusion Detection Systems (IDS) have an increasingly important role in preventing exploitation of network vulnerabilities by malicious actors. Recent deep learning based developm…

cs.CV2025

A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing

Shreya Ghosh, Yi-Huan Chen, Ching-Hsiang Huang +4

A significant challenge in racing-related research is the lack of publicly available datasets containing raw images with corresponding annotations for the downstream task. In this…

cs.CR2024

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup

Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

Network Intrusion Detection Systems (IDS) aim to detect the presence of an intruder by analyzing network packets arriving at an internet connected device. Data-driven deep learning…

cs.CR2023

A Study on Transferability of Deep Learning Models for Network Intrusion Detection

Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

In this paper, we explore transferability in learning between different attack classes in a network intrusion detection setup. We evaluate transferability of attack classes by trai…