most citedMalware Detection and Prevention using Artificial Intelligence Techniques

117 citations · 136 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2023★ 2 cited

Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python

Mst Shapna Akter, Juanjose Rodriguez-Cardenas, Md Mostafizur Rahman +3

The field of DevOps security education necessitates innovative approaches to effectively address the ever-evolving challenges of cybersecurity. In adopting a student-centered ap-pr…

cs.CR2023

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection

Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed +6

Quantum machine learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real world prob…

cs.CR2023★ 17 cited

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms

Mst Shapna Akter, Md Jobair Hossain Faruk, Nafisa Anjum +5

The software supply chain (SSC) attack has become one of the crucial issues that are being increased rapidly with the advancement of the software development domain. In general, SS…

cs.CR2022★ 117 cited

Malware Detection and Prevention using Artificial Intelligence Techniques

Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero +8

With the rapid technological advancement, security has become a major issue due to the increase in malware activity that poses a serious threat to the security and safety of both c…