activity
20192025
most citedFetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 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…

eess.SP2024

Deep OFDM Channel Estimation: Capturing Frequency Recurrence

Abu Shafin Mohammad Mahdee Jameel, Akshay Malhotra, Aly El Gamal +1

In this paper, we propose a deep-learning-based channel estimation scheme in an orthogonal frequency division multiplexing (OFDM) system. Our proposed method, named Single Slot Rec…

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…

cs.NI2021

Knowledge Distillation For Wireless Edge Learning

Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2…

eess.SP2020

Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset

Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Xiwen Zhang +1

We demonstrate a first example for employing deep learning in predicting frame errors for a Collaborative Intelligent Radio Network (CIRN) using a dataset collected during particip…

cs.CL2019

A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification

Afra Anika, Md. Hasibur Rahman, Salekul Islam +2

QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA syst…