activity
20172023
most citedMalware Detection and Prevention using Artificial Intelligence Techniques

117 citations · 391 across the 11 of their papers we have counts for

collaborators

11 papers

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.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.CV2023★ 1 cited

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…

cs.CR2023★ 17 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…

cs.CV2023★ 52 cited

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…

cs.CV2023★ 11 cited

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…

cs.CV2023★ 20 cited

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…

cs.CR2022★ 102 cited

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…

cs.DC2022★ 30 cited

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…

cs.CR2022★ 117 cited

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…

cs.DB2017★ 41 cited

Fragmenting very large XML data warehouses via K-means clustering algorithm

Alfredo Cuzzocrea, Jérôme Darmont, Hadj Mahboubi

XML data sources are more and more gaining popularity in the context of a wide family of Business Intelligence (BI) and On-Line Analytical Processing (OLAP) applications, due to th…