Mst. Shapna Akter
According to our database1,
Mst. Shapna Akter
authored at least 21 papers
between 2022 and 2023.
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Bibliography
2023
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python.
CoRR, 2023
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
CoRR, 2023
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions.
CoRR, 2023
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
CoRR, 2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection.
CoRR, 2023
Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
Proceedings of the IEEE International Conference on Big Data, 2023
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions.
Proceedings of the IEEE International Conference on Big Data, 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks Using a Malware Dataset: A Comparative Analysis.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023
2022
Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach.
Future Internet, 2022
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing.
Proceedings of the Ubiquitous Security - Second International Conference, 2022
DuRBIN: A Comprehensive Approach to Analysis and Detection of Emerging Threats due to Network Intrusion.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022
Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words.
Proceedings of the IEEE International Conference on Big Data, 2022
Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data.
Proceedings of the IEEE International Conference on Big Data, 2022
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Big Data, 2022