52 citations · 106 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
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…
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis
Mst Shapna Akter, Hossain Shahriar, Iysa Iqbal +4
The burgeoning fields of machine learning (ML) and quantum machine learning (QML) have shown remarkable potential in tackling complex problems across various domains. However, thei…
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing
Mst Shapna Akter, Hossain Shahriar, Zakirul Alam Bhuiya
One of the most important challenges in the field of software code audit is the presence of vulnerabilities in software source code. These flaws are highly likely ex-ploited and le…
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Mst Shapna Akter, Hossain Shahriar, Sweta Sneha +1
Skin cancer detection is challenging since different types of skin lesions share high similarities. This paper proposes a computer-based deep learning approach that will accurately…
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea +2
A handwritten word recognition system comes with issues such as lack of large and diverse datasets. It is necessary to resolve such issues since millions of official documents can…
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data
Mst Shapna Akter, Hossain Shahriar, Nova Ahmed +1
Aggressive comments on social media negatively impact human life. Such offensive contents are responsible for depression and suicidal-related activities. Since online social networ…