DDoS Attack Detection and Clustering of Attacked and Non-attacked VMs Using SOM in Cloud Network. - Nitesh Bharot; Veenadhari Suraparaju; Sanjeev Gupta (ICACDS (2), 2019)

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)

A Demo of Microservice for Customized Faulty Product Detection System in Smart Manufacturing. - Nitesh Bharot; Mirco Soderi; John G. Breslin (SMARTCOMP, 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)

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)

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)