most citedMulti-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

52 citations · 106 across the 14 of their papers we have counts for

collaborators

14 papers

cs.SE2024

Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code

Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon +2

Software security is crucial in any field where breaches can exploit sensitive data, and lead to financial losses. As a result, vulnerability detection becomes an essential part of…

cs.SE20241 cited

A Combined Feature Embedding Tools for Multi-Class Software Defect and Identification

Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon +2

In software, a vulnerability is a defect in a program that attackers might utilize to acquire unauthorized access, alter system functions, and acquire information. These vulnerabil…

cs.SE2024

EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code

Shahriyar Zaman Ridoy, Md. Shazzad Hossain Shaon, Alfredo Cuzzocrea +1

Automated detection of software vulnerabilities is critical for enhancing security, yet existing methods often struggle with the complexity and diversity of modern codebases. In th…

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…