52 citations · 52 across the 6 of their papers we have counts for
6 papers
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
Md Abdur Rahman, Fan Wu, Alfredo Cuzzocrea +1
Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs appli…
Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
Md Abdur Rahman, Md Abdul Barek, ABM Kamrul Islam Riad +7
Although software developers of mHealth apps are responsible for protecting patient data and adhering to strict privacy and security requirements, many of them lack awareness of HI…
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…
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…
Towards Blockchain-Based Secure Data Management for Remote Patient Monitoring
Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero +2
Traditional data collection, storage and processing of Electronic Health Records (EHR) utilize centralized techniques that pose several risks of single point of failure and lean th…