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

17 citations · 21 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2023

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.LG2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data

Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea

Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can caus…

cs.CR20234 cited

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions

Mst Shapna Akter

With the ever-growing concern for internet security, the field of quantum cryptography emerges as a promising solution for enhancing the security of networking systems. In this pap…

cs.CR2023

Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks

Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas +2

One of the most significant challenges in the field of software code auditing is the presence of vulnerabilities in software source code. Every year, more and more software flaws a…

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.CR202317 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…