Nitesh Bharot

According to our database, Nitesh Bharot authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Combined Supervised and Unsupervised Deep Learning Approach for Intrusion Detection in IoT Traffic in an Edge Computing Environment.

Sangeeta Sharma, Priyanka Verma, Nitesh Bharot, Ashish Kumar, Navdeep Singh Rathore, Shivanshu Sharma

SN Comput. Sci., August, 2025

ABIDS-VEM: leveraging an equilibrium optimizer and data ramification in association with ensemble learning for anomaly-based intrusion detection system.

Priyanka Verma, Donna O'Shea, Thomas Newe, Nakul Mehta, Nitesh Bharot, John G. Breslin

J. Supercomput., May, 2025

Leveraging Transfer Learning Domain Adaptation Model With Federated Learning to Revolutionise Healthcare.

Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O'Shea, Anand Kumar Mishra, Ankit Vidyarthi, Deepak Gupta

Expert Syst. J. Knowl. Eng., February, 2025

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

IEEE Access, 2025

2024

PULSE: Proactive uncovering of latent severe anomalous events in IIoT using LSTM-RF model.

Sangeeta Sharma, Priyanka Verma, Nitesh Bharot, Amish Ranpariya, Rakesh Porika

Clust. Comput., December, 2024

Combating deepfakes: a comprehensive multilayer deepfake video detection framework.

Nikhil Rathoure, Rajesh Kumar Pateriya, Nitesh Bharot, Priyanka Verma

Multim. Tools Appl., November, 2024

A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network.

Priyanka Verma, A. Rama Krishna Kowsik, Rajesh Kumar Pateriya, Nitesh Bharot, Ankit Vidyarthi, Deepak Gupta

Mob. Networks Appl., October, 2024

A federated learning approach to network intrusion detection using residual networks in industrial IoT networks.

Nisha Chaurasia, Munna Ram, Priyanka Verma, Nakul Mehta, Nitesh Bharot

J. Supercomput., September, 2024

Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review.

Priyanka Verma, Nitesh Bharot, John G. Breslin, Mukta Sharma, Nisha Chaurasia, Ankit Vidyarthi

Trans. Emerg. Telecommun. Technol., April, 2024

Leveraging Gametic Heredity in Oversampling Techniques to Handle Class Imbalance for Efficient Cyberthreat Detection in IIoT.

Priyanka Verma, John G. Breslin, Donna O'Shea, Nakul Mehta, Nitesh Bharot, Ankit Vidyarthi

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.

Priyanka Verma, Nitesh Bharot, John G. Breslin, Donna O'Shea, Ankit Vidyarthi, Deepak Gupta

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.

Nitesh Bharot, John G. Breslin, Priyanka Verma

Proceedings of the International Conference on Software, 2024

2023

Improving Product Quality Control in Smart Manufacturing through Transfer Learning-Based Fault Detection.

Nitesh Bharot, Mirco Soderi, Priyanka Verma, John G. Breslin

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

A Demo of Microservice for Customized Faulty Product Detection System in Smart Manufacturing.

Nitesh Bharot, Mirco Soderi, John G. Breslin

Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

DQ-DeepLearn: Data Quality Driven Deep Learning Approach for Enhanced Predictive Maintenance in Smart Manufacturing.

Nitesh Bharot, Priyanka Verma, Mirco Soderi, John G. Breslin

Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2019

DDoS Attack Detection and Clustering of Attacked and Non-attacked VMs Using SOM in Cloud Network.

Nitesh Bharot, Veenadhari Suraparaju, Sanjeev Gupta

Proceedings of the Advances in Computing and Data Sciences, 2019