output
20112026
most citedBlockchain and Machine Learning for Fraud Detection: A Privacy-Preserving and Adaptive Incentive Based Approach

80 citations

100 papers

cs.LG2026

Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithm

Joy Datta, Puja Saha, Rawhatur Rabbi +4

This paper addresses the challenge posed by sleep deprivation in the Forward-Forward algorithm, where separating the two passes in this algorithm and imbalancing the data processin…

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.CR2026★ 12 cited

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

Md Faisal Ahmed, Zarin Tasnim Biash, Abu Raihan Shakil +4

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of m…

cs.CR2026★ 19 cited

Performance analysis of Machine learning algorithms for predicting malware

ABM. Adnan Azmee, Pranto Protim Choudhury, Md. Aosaful Alam +2

Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based ant…

cs.AI2026

Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification

Md. Hasib Ur Rahman

Safety alignment in Large Language Models (LLMs) is often superficial, relying on refusal mechanisms that trigger only at the final stages of generation without erasing the foundat…

cs.CL2026

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding

Mahbub E Sobhani, Anika Tasnim Rodela, Chowdhury Mofizur Rahman +2

Lossy text compression reduces data size while preserving core meaning, making it well-suited for summarization, automated analysis, and digital archives. Despite the dominance of…