A New Protocol Model for Verification of Payment Order Information Integrity in Online E Payment System. - Sandeep Kumar Raghuwanshi; Rajesh Kumar Pateriya; R. P. Singh (NaBIC, 2009)

A Proposed Algorithm to improve security & Efficiency of SSL-TLS servers using Batch RSA decryption - Rajesh Kumar Pateriya; J. L. Rana; S. C. Shrivastava; Jaideep Patel (CoRR, 2009)

Recommendation Systems: Techniques, Challenges, Application, and Evaluation. - Sandeep Kumar Raghuwanshi; Rajesh Kumar Pateriya (SocProS (2), 2017)

Balance Resource Utilization (BRU) Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model. - Rajeev Kumar Gupta; Rajesh Kumar Pateriya (J. Organ. End User Comput., 2017)

Data encoding and cost optimised distribution for efficient and secure storage in cloud federation. - Sonika Shrivastava; Rajesh Kumar Pateriya (Int. J. Inf. Comput. Secur., 2020)

Accelerated Singular Value Decomposition (ASVD) using momentum based Gradient Descent Optimization. - Sandeep Kumar Raghuwanshi; Rajesh Kumar Pateriya (J. King Saud Univ. Comput. Inf. Sci., 2021)

Analysis of Vulnerabilities in Hadoop Map Reduce Framework: A Review. - Shubham Jambhulkar; Deepak Singh Tomar; R. K. Pateriya (WCNC, 2022)

COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18. - Rajeev Kumar Gupta; Pranav Gautam; Rajesh Kumar Pateriya; Priyanka Verma; Yatendra Sahu (Int. J. Fuzzy Syst. Appl., 2022)

A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images. - Rajeev Kumar Gupta; Nilesh Kunhare; Rajesh Kumar Pateriya; Nikhlesh Pathik (Int. J. Heal. Inf. Syst. Informatics, 2022)

ACMFNN: A Novel Design of an Augmented Convolutional Model for Intelligent Cross-Domain Malware Localization via Forensic Neural Networks. - Rijvan Beg; R. K. Pateriya; Deepak Singh Tomar (IEEE Access, 2023)

Capturing uncertainties through log analysis using DevOps. - Rajeev Kumar Gupta; Arti Jain; Ruchika Kumar; Rajesh Kumar Pateriya (Int. J. Data Min. Model. Manag., 2023)

An efficient focused crawler using LSTM-CNN based deep learning. - Gourav Kumar Shrivastava; Rajesh Kumar Pateriya; Praveen Kaushik (Int. J. Syst. Assur. Eng. Manag., 2023)

A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique. - Yatendra Sahu; Abhishek Tripathi; Rajeev Kumar Gupta; Pranav Gautam; Rajesh Kumar Pateriya; Abhishek Gupta 005 (Multim. Tools Appl., 2023)

A Review of Disease Detection in Sugarcane Using Machine Learning and Deep Learning Techniques. - Undavalli Chandra Pavan; R. K. Pateriya; Deepak Singh Tomar; Surendra Singh (ICCCNT, 2024)

Automatically Generate Impression From Findings In Radiology Report Using BERT. - Rujeena Reang; Vasudev Dehalwar; R. K. Pateriya (ICCCNT, 2024)

Human Activity Recognition Using Deep Learning Techniques for Healthcare Applications. - Raj Shekhar; Deepak Singh Tomar; Bhagwati Sharan; R. K. Pateriya (ICCCNT, 2024)

Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models. - Rijvan Beg; R. K. Pateriya; Deepak Singh Tomar (IEEE Access, 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)

GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection. - Yogesh Kumar Sharma; Deepak Singh Tomar; R. K. Pateriya; Surendra Solanki (IEEE Access, 2025)

MOSDroid: Obfuscation-resilient android malware detection using multisets of encoded opcode sequences. - Yogesh Kumar Sharma; Deepak Singh Tomar; R. K. Pateriya; Shweta Bhandari (Comput. Secur., 2025)