AVDR: A Framework for Migration Policy to Handle DDoS Attacked VM in Cloud. - Priyanka Verma 001; Shashikala Tapaswi; W. Wilfred Godfrey (Wirel. Pers. Commun., 2020)

A request aware module using CS-IDR to reduce VM level collateral damages caused by DDoS attack in cloud environment. - Priyanka Verma 001; Shashikala Tapaswi; W. Wilfred Godfrey (Clust. Comput., 2021)

An Impact Analysis and Detection of HTTP Flooding Attack in Cloud Using Bio-Inspired Clustering Approach. - Priyanka Verma 001; Shashikala Tapaswi; W. Wilfred Godfrey (Int. J. Swarm Intell. Res., 2021)

A service governance and isolation based approach to mitigate internal collateral damages in cloud caused by DDoS attack. - Priyanka Verma 001; Shashikala Tapaswi; W. Wilfred Godfrey (Wirel. Networks, 2021)

FLDID: Federated Learning Enabled Deep Intrusion Detection in Smart Manufacturing Industries. - Priyanka Verma 001; John G. Breslin; Donna O'Shea (Sensors, 2022)

PerCFed: An Effective Personalized Clustered Federated Learning Mechanism to Handle non-IID Challenges for Industry 4.0. - Priyanka Verma 001; John G. Breslin; Donna O'Shea (CloudNet, 2023)

DQ-DeepLearn: Data Quality Driven Deep Learning Approach for Enhanced Predictive Maintenance in Smart Manufacturing. - Nitesh Bharot; Priyanka Verma 001; Mirco Soderi; John G. Breslin (ISM, 2023)

Improving Product Quality Control in Smart Manufacturing through Transfer Learning-Based Fault Detection. - Nitesh Bharot; Mirco Soderi; Priyanka Verma 001; John G. Breslin (SMARTCOMP, 2023)

FedTIU: Securing Virtualized PLCs Against DDoS Attacks Using a Federated Learning Enabled Threat Intelligence Unit. - Priyanka Verma 001; Miguel Ponce de Leon; John G. Breslin; Donna O'Shea (SMARTCOMP, 2023)

Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems. - Jefkine Kafunah; Priyanka Verma 001; Muhammad Intizar Ali; John G. Breslin (IEEE Access, 2023)

Revolutionizing Human Activity Recognition in Healthcare: Harnessing Red Deer for Feature Selection and Focal Loss-Based MLP for Classification. - Nitesh Bharot; John G. Breslin; Priyanka Verma 001 (SoftCOM, 2024)

Zero-Day Guardian: A Dual Model Enabled Federated Learning Framework for Handling Zero-Day Attacks in 5G Enabled IIoT. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Donna O'Shea; Ankit Vidyarthi; Deepak Gupta 002 (IEEE Trans. Consumer Electron., 2024)

Leveraging Gametic Heredity in Oversampling Techniques to Handle Class Imbalance for Efficient Cyberthreat Detection in IIoT. - Priyanka Verma 001; John G. Breslin; Donna O'Shea; Nakul Mehta; Nitesh Bharot; Ankit Vidyarthi (IEEE Trans. Consumer Electron., 2024)

Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Mukta Sharma; Nisha Chaurasia; Ankit Vidyarthi (Trans. Emerg. Telecommun. Technol., 2024)

A federated learning approach to network intrusion detection using residual networks in industrial IoT networks. - Nisha Chaurasia; Munna Ram; Priyanka Verma 001; Nakul Mehta; Nitesh Bharot (J. Supercomput., 2024)

A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network. - Priyanka Verma 001; A. Rama Krishna Kowsik; Rajesh Kumar Pateriya; Nitesh Bharot; Ankit Vidyarthi; Deepak Gupta 002 (Mob. Networks Appl., 2024)

Combating deepfakes: a comprehensive multilayer deepfake video detection framework. - Nikhil Rathoure; Rajesh Kumar Pateriya; Nitesh Bharot; Priyanka Verma 001 (Multim. Tools Appl., 2024)

PULSE: Proactive uncovering of latent severe anomalous events in IIoT using LSTM-RF model. - Sangeeta Sharma; Priyanka Verma 001; Nitesh Bharot; Amish Ranpariya; Rakesh Porika (Clust. Comput., 2024)

PPFL-DCS: Privacy-Preserving Federated Learning Using Neural Transformer and Leveraging Dynamic Client Selection to Accommodate Data Diversity. - Nakul Mehta; Nitesh Bharot; John G. Breslin; Priyanka Verma 001 (IEEE Access, 2025)

Toward a Unified Understanding of Cyber Resilience: Concepts, Strategies, and Future Directions. - Priyanka Verma 001; Thomas Newe; George D. O'Mahony; Dean Brennan; Donna O'Shea (IEEE Access, 2025)

A Stochastic Prototypical Network for Few-Shot Intrusion Detection in CAN-Based IoV Network. - Jawad Ahmad 001; Shahid Latif; Djamel Djenouri; Farhan Ullah; Muhammad Shahbaz Khan; Malik Muhammad Saad 001; Rutvij H. Jhaveri; Priyanka Verma 001 (IEEE Open J. Commun. Soc., 2025)

Blockchain-Based Model for Secure and Fair Data Provision in Crowdsourced Drone Services. - Junaid Akram; Awais Akram; Vandana Sharma; Ali Anaissi; Rutvij H. Jhaveri; Priyanka Verma 001 (IEEE Open J. Commun. Soc., 2025)

Leveraging Transfer Learning Domain Adaptation Model With Federated Learning to Revolutionise Healthcare. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Donna O'Shea; Anand Kumar Mishra; Ankit Vidyarthi; Deepak Gupta 002 (Expert Syst. J. Knowl. Eng., 2025)

ABIDS-VEM: leveraging an equilibrium optimizer and data ramification in association with ensemble learning for anomaly-based intrusion detection system. - Priyanka Verma 001; Donna O'Shea; Thomas Newe; Nakul Mehta; Nitesh Bharot; John G. Breslin (J. Supercomput., 2025)

A Combined Supervised and Unsupervised Deep Learning Approach for Intrusion Detection in IoT Traffic in an Edge Computing Environment. - Sangeeta Sharma; Priyanka Verma 001; Nitesh Bharot; Ashish Kumar; Navdeep Singh Rathore; Shivanshu Sharma (SN Comput. Sci., 2025)