An efficient web mining algorithm for Web Log analysis: E-Web Miner. - Mahendra Pratap Yadav; Pankaj Kumar Keserwani; Shefalika Ghosh Samaddar (RAIT, 2012)

Customization of Service Level Agreement for Digital Forensics as a Service. - Pankaj Kumar Keserwani; Shefalika Ghosh Samaddar (ICCCT, 2017)

A Hybrid Symmetric Key Cryptography Method to Provide Secure Data Transmission. - Pankaj Kumar Keserwani; Mahesh Chandra Govil (MIND (2), 2020)

Evidence Building for Ad Click or Web Access on Cloud. - Pankaj Kumar Keserwani; Mahesh Chandra Govil; Emmanuel Shubhakar Pilli (MIND (2), 2020)

An Optimal NIDS for VCN Using Feature Selection and Deep Learning Technique: IDS for VCN. - Pankaj Kumar Keserwani; Mahesh Chandra Govil; Emmanuel S. Pilli; Prajjval Govil (Int. J. Digit. Crime Forensics, 2021)

A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO-PSO-RF model. - Pankaj Kumar Keserwani; Mahesh Chandra Govil; Emmanuel S. Pilli; Prajjval Govil (J. Reliab. Intell. Environ., 2021)

An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques. - Pankaj Kumar Keserwani; Mahesh Chandra Govil; Emmanuel S. Pilli (Neural Comput. Appl., 2023)

A CNN Approach to Detect The Anomalies In BGP Traffic. - Rahul Deo Verma; Pankaj Kumar Keserwani; Vinesh Kumar Jain (ICCCNT, 2024)

A better and fast cloud intrusion detection system using improved squirrel search algorithm and modified deep belief network. - Nairita Sarkar; Pankaj Kumar Keserwani; Mahesh Chandra Govil (Clust. Comput., 2024)

A comparative study: prediction of parkinson's disease using machine learning, deep learning and nature inspired algorithm. - Pankaj Kumar Keserwani; Suman Das; Nairita Sarkar (Multim. Tools Appl., 2024)

Detecting Adversarial Samples using Kernel Density Feature Extractor in Medical Image. - Suman Das; Pankaj Kumar Keserwani; Mahesh Chandra Govil (ICDCN, 2025)