Md Delwar Hossain
Orcid: 0000-0002-5968-0704
According to our database1,
Md Delwar Hossain
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
FedFusion: Adaptive Model Fusion for Addressing Feature Discrepancies in Federated Credit Card Fraud Detection.
IEEE Access, 2024
Electricity Theft Detection for Smart Homes: Harnessing the Power of Machine Learning With Real and Synthetic Attacks.
IEEE Access, 2024
Vision Based Malware Classification Using Deep Neural Network with Hybrid Data Augmentation.
Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024
Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity.
Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024
Optimizing Voice Biometric Verification in Banking with Machine Learning for Speaker Identification.
Proceedings of the 29th IEEE Asia Pacific Conference on Communications, 2024
2023
Appl. Artif. Intell., December, 2023
Towards evaluating robustness of violence detection in videos using cross-domain transferability.
J. Inf. Secur. Appl., September, 2023
IEEE Commun. Mag., June, 2023
Proceedings of the 19th IEEE International Conference on Factory Communication Systems, 2023
Electricity Theft Detection for Smart Homes with Knowledge-Based Synthetic Attack Data.
Proceedings of the 19th IEEE International Conference on Factory Communication Systems, 2023
A Comparative Performance Analysis of Android Malware Classification Using Supervised and Semi-supervised Deep Learning.
Proceedings of the 16th International Conference on Security of Information and Networks, 2023
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023
Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
Federated Learning-Based Credit Card Fraud Detection: Performance Analysis with Sampling Methods and Deep Learning Algorithms.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
A Risk Assessment Study: Encircling Docker Container Assets on IaaS Cloud Computing Topology.
Proceedings of the 6th Conference on Cloud and Internet of Things, 2023
2MiCo: A Contrastive Semi-Supervised Method with Double Mixup for Smart Meter Modbus RS-485 Communication Security.
Proceedings of the 9th Intl Conference on Big Data Security on Cloud, 2023
2022
Proceedings of the 9th Swiss Conference on Data Science, 2022
Unsupervised Anomaly Detection in RS-485 Traffic using Autoencoders with Unobtrusive Measurement.
Proceedings of the IEEE International Performance, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the 8th IEEE Intl Conference on Big Data Security on Cloud, 2022
Proceedings of the 2022 IEEE Future Networks World Forum, 2022
Unauthorized Power Usage Detection Using Gradient Boosting Classifier in Disaggregated Smart Meter Home Network.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022
2020
IEEE Access, 2020
An Effective In-Vehicle CAN Bus Intrusion Detection System Using CNN Deep Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2020
LSTM-based Network Attack Detection: Performance Comparison by Hyper-parameter Values Tuning.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020
Long Short-Term Memory-Based Intrusion Detection System for In-Vehicle Controller Area Network Bus.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
SSH and FTP brute-force Attacks Detection in Computer Networks: LSTM and Machine Learning Approaches.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020
2015
Microwave imaging for the detection and localization of breast tissue malignancies using time reversal beamforming
PhD thesis, 2015