Priyanka Verma
Orcid: 0000-0002-2153-893XAffiliations:
- University of Limerick, Department of Electronics and Computer Engineering, Castletroy, Limerick, Ireland
- University of Galway, Data Science Institute, Ireland
According to our database1,
Priyanka Verma
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
PULSE: Proactive uncovering of latent severe anomalous events in IIoT using LSTM-RF model.
Clust. Comput., December, 2024
Multim. Tools Appl., November, 2024
A federated learning approach to network intrusion detection using residual networks in industrial IoT networks.
J. Supercomput., September, 2024
Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review.
Trans. Emerg. Telecommun. Technol., April, 2024
Leveraging Gametic Heredity in Oversampling Techniques to Handle Class Imbalance for Efficient Cyberthreat Detection in IIoT.
IEEE Trans. Consumer Electron., February, 2024
Zero-Day Guardian: A Dual Model Enabled Federated Learning Framework for Handling Zero-Day Attacks in 5G Enabled IIoT.
IEEE Trans. Consumer Electron., February, 2024
Revolutionizing Human Activity Recognition in Healthcare: Harnessing Red Deer for Feature Selection and Focal Loss-Based MLP for Classification.
Proceedings of the International Conference on Software, 2024
2023
Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems.
IEEE Access, 2023
FedTIU: Securing Virtualized PLCs Against DDoS Attacks Using a Federated Learning Enabled Threat Intelligence Unit.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
Improving Product Quality Control in Smart Manufacturing through Transfer Learning-Based Fault Detection.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
PerCFed: An Effective Personalized Clustered Federated Learning Mechanism to Handle non-IID Challenges for Industry 4.0.
Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023
2022
FLDID: Federated Learning Enabled Deep Intrusion Detection in Smart Manufacturing Industries.
Sensors, 2022
2021
A service governance and isolation based approach to mitigate internal collateral damages in cloud caused by DDoS attack.
Wirel. Networks, 2021
An Impact Analysis and Detection of HTTP Flooding Attack in Cloud Using Bio-Inspired Clustering Approach.
Int. J. Swarm Intell. Res., 2021
A request aware module using CS-IDR to reduce VM level collateral damages caused by DDoS attack in cloud environment.
Clust. Comput., 2021
2020
Wirel. Pers. Commun., 2020