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20192023
most citedMalware Detection and Prevention using Artificial Intelligence Techniques

117 citations · 630 across the 30 of their papers we have counts for

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11 papers · 1 filter

cs.CR2023★ 2 cited

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…

cs.CR2023★ 5 cited

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…

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.CR2023

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…

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.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.CR2022★ 14 cited

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…

cs.CR2022★ 116 cited

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…

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.CR2021★ 1 cited

A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems

Alvi Ataur Khalil, Javier Franco, Imtiaz Parvez +2

Blockchain has become a key technology in a plethora of application domains owing to its decentralized public nature. The cyber-physical systems (CPS) is one of the prominent appli…

cs.CR2019★ 15 cited

Toward a Secure and Decentralized Blockchain-based Ride-Hailing Platform for Autonomous Vehicles

Ryan Shivers, Mohammad Ashiqur Rahman, Hossain Shahriar

Ride-hailing and ride-sharing applications have recently gained in popularity as a convenient alternative to traditional modes of travel. Current research into autonomous vehicles…