117 citations · 630 across the 30 of their papers we have counts for
30 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…
Protecting the Decentralized Future: An Exploration of Common Blockchain Attacks and their Countermeasures
Bilash Saha, Md Mehedi Hasan, Nafisa Anjum +3
Blockchain technology transformed the digital sphere by providing a transparent, secure, and decentralized platform for data security across a range of industries, including crypto…
BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
Bilash Saha, Md Saiful Islam, Abm Kamrul Riad +3
Falls among the elderly are a major health concern, frequently resulting in serious injuries and a reduced quality of life. In this paper, we propose "BlockTheFall," a wearable dev…
Blockchain Technology in Higher Education Ecosystem: Unraveling the Good, Bad, and Ugly
Sharaban Tahora, Bilash Saha, Nazmus Sakib +2
The higher education management systems first identified and realized the trap of pitting innovation against privacy while first addressing COVID-19 social isolation challenges in…
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…
HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps
Bilash Saha, Md Raihan Mia, Sharaban Tahora +2
The proliferation of mobile health technology, or mHealth apps, has necessitated the paramount importance of safeguarding personal health records. These digital platforms afford in…
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…
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea
Neural network approaches are machine learning methods that are widely used in various domains, such as healthcare and cybersecurity. Neural networks are especially renowned for th…
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…
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns
Mst Shapna Akter, Hossain Shahriar
A dataset, collected under an industrial setting, often contains a significant portion of noises. In many cases, using trivial filters is not enough to retrieve useful information…
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…
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection
Mohammad Masum, Hossain Shahriar, Hisham Haddad +6
Traditional network intrusion detection approaches encounter feasibility and sustainability issues to combat modern, sophisticated, and unpredictable security attacks. Deep neural…
Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework
Jiyoun Randolph, Md Jobair Hossain Faruk, Hossain Shahriar +4
In teleradiology, medical images are transmitted to offsite radiologists for interpretation and the dictation report is sent back to the original site to aid timely diagnosis and p…
A Review of Quantum Cybersecurity: Threats, Risks and Opportunities
Md Jobair Hossain Faruk, Sharaban Tahora, Masrura Tasnim +2
The promise of quantum computing is not speeding up conventional computing rather delivering an exponential advantage for certain classes of problems, with profound implications fo…
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques
Md Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum +3
People's personal hygiene habits speak volumes about the condition of taking care of their bodies and health in daily lifestyle. Maintaining good hygiene practices not only reduces…
Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform
Ryan Shivers, Mohammad Ashiqur Rahman, Md Jobair Hossain Faruk +3
Ride-hailing and ride-sharing applications have recently gained popularity as a convenient alternative to traditional modes of travel. Current research into autonomous vehicles is…
Ransomware Classification and Detection With Machine Learning Algorithms
Mohammad Masum, Md Jobair Hossain Faruk, Hossain Shahriar +3
Malicious attacks, malware, and ransomware families pose critical security issues to cybersecurity, and it may cause catastrophic damages to computer systems, data centers, web, an…
Software Engineering Process and Methodology in Blockchain-Oriented Software Development: A Systematic Study
Md Jobair Hossain Faruk, Santhiya Subramanian, Hossain Shahriar +3
Software Engineering is the process of a systematic, disciplined, quantifiable approach that has significant impact on large-scale and complex software development. Scores of well-…
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…