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20122026
most citedDeep Learning applied to NLP

129 citations · 717 across the 46 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2026

AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification

Parthajit Borah, Sakshi Singh, D. K. Bhattacharyya +1

As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with related services in daily lif…

cs.CR2026

TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification

Parthajit Borah, Upasana Sarmah, D. K. Bhattacharyya +1

Malware and malware-based attacks are becoming more prevalent and complex. Attackers regularly come up with new techniques that have the ability to evade conventional and signature…

cs.CR2024★ 91 cited

A Survey of Malware Detection Using Deep Learning

Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud

The problem of malicious software (malware) detection and classification is a complex task, and there is no perfect approach. There is still a lot of work to be done. Unlike most o…

cs.CR2024★ 49 cited

Deep Multi-Task Learning for Malware Image Classification

Ahmed Bensaoud, Jugal Kalita

Malicious software is a pernicious global problem. A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware de…

cs.CR2020

Classifying Malware Images with Convolutional Neural Network Models

Ahmed Bensaoud, Nawaf Abudawaood, Jugal Kalita

Due to increasing threats from malicious software (malware) in both number and complexity, researchers have developed approaches to automatic detection and classification of malwar…

cs.CR2019

Authentication of Smartphone Users Using Behavioral Biometrics

Abdulaziz Alzubaidi, Jugal Kalita

Smartphones and tablets have become ubiquitous in our daily lives. Smartphones, in particular, have become more than personal assistants. These devices have provided new avenues fo…

cs.CR2012★ 16 cited

Survey on Incremental Approaches for Network Anomaly Detection

Monowar H. Bhuyan, D. K. Bhattacharyya, J. K. Kalita

As the communication industry has connected distant corners of the globe using advances in network technology, intruders or attackers have also increased attacks on networking infr…