most citedA Cross-Dataset based Zero-Day Intrusion Detection System by Integrating Siamese Network and Reinforcement Learning

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Enhancing Multiclass Malware Classification in Resource-Constrained Environments

Abdul Khalek Alve, Alif Rahman, Saadman Zaman +2

The emergence of multi-class malware attacks such as ransomware, spyware, trojans, etc., presents an increasing and serious threat to cybersecurity, particularly in resourceconstra…

cs.CR2026★ 2 cited

A Cross-Dataset based Zero-Day Intrusion Detection System by Integrating Siamese Network and Reinforcement Learning

Md. Meheraj Hossain, Saumik Das Turja, Sibgatullah Tasnim +2

Zero-day threats are nascent for the Internet of Things (IoT) network security, which demands cognitive detec-tion mechanisms that can identify emerging malicious behavior. Convent…

cs.CV2026

BDSLI: A hybrid CNN-Transformer model for Bengali Sign Language interpretation

Abir Bin Yousuf, Muhammad Iqbal Hossain

This study introduces a novel hybrid CNN-Transformer architecture to address the limited progress in Bengali SLR, focusing on isolated sign word recognition and sentence generation…

cs.CR2026

HELO Cryptography: A Lightweight Cryptographic System for Enhancing IoT Security in P2P Data Transmission

Tahsin Ahmed, Arjita Saha, Arian Nuhan +3

The recent surge in security concerns for IoT devices highlights the increasing threat of cryptographic vulnerabilities. These weaknesses can lead to unauthorized access, data brea…

cs.CV2025★ 1 cited

ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis

Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis +8

This research proposes "ForCM", a novel approach to forest cover mapping that combines Object-Based Image Analysis (OBIA) with Deep Learning (DL) using multispectral Sentinel-2 ima…

quant-ph2025

Hybrid Quantum-Classical Learning for Multiclass Image Classification

Shuchismita Anwar, Sowmitra Das, Muhammad Iqbal Hossain +1

This study explores the challenge of improving multiclass image classification through quantum machine-learning techniques. It explores how the discarded qubit states of Noisy Inte…