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Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
31 May 2023
Mst. Shapna Akter
Md Jobair Hossain Faruk
Nafisa Anjum
Mohammad Masum
Hossain Shahriar
A. Rahman
Fan Wu
A. Cuzzocrea
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Papers citing
"Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms"
9 / 9 papers shown
AI-Based Software Vulnerability Detection: A Systematic Literature Review
Samiha Shimmi
Hamed Okhravi
Mona Rahimi
337
7
0
12 Jun 2025
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
Quantum Machine Intelligence (QMI), 2025
Zihao Wang
K. Fok
V. Thing
219
6
0
29 Apr 2025
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
BigData Congress [Services Society] (BSS), 2023
Mst. Shapna Akter
Hossain Shahriar
A. Cuzzocrea
171
5
0
15 Aug 2023
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python
Mst. Shapna Akter
Juanjose Rodriguez-Cardenas
Md Mostafizur Rahman
Hossain Shahriar
A. Rahman
Fan Wu
269
4
0
14 Aug 2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Annual International Computer Software and Applications Conference (COMPSAC), 2023
Mst. Shapna Akter
Hossain Shahriar
S. Ahamed
Kishor Datta Gupta
M. S. Rahman
Atef Mohamed
M. Rahman
A. Rahman
Fan Wu
194
15
0
01 Jun 2023
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks
Annual International Computer Software and Applications Conference (COMPSAC), 2023
Mst. Shapna Akter
Hossain Shahriar
A. Cuzzocrea
243
9
0
01 Jun 2023
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Annual International Computer Software and Applications Conference (COMPSAC), 2023
Mst. Shapna Akter
Hossain Shahriar
Juan Rodriguez Cardenas
S. Ahamed
A. Cuzzocrea
235
2
0
01 Jun 2023
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
M. Hossain
M. A. Karim
Victor A. Clincy
R. Voicu
AAML
305
12
0
31 May 2023
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns
IEEE Conference on Communications and Network Security (IEEE CNS), 2022
Mst. Shapna Akter
Hossain Shahriar
224
0
0
13 Mar 2023
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