Rajesh Kumar Pateriya

Orcid: 0000-0001-7163-0024

According to our database1, Rajesh Kumar Pateriya authored at least 21 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
MOSDroid: Obfuscation-resilient android malware detection using multisets of encoded opcode sequences.
Comput. Secur., 2025

GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection.
IEEE Access, 2025

2024
Combating deepfakes: a comprehensive multilayer deepfake video detection framework.
Multim. Tools Appl., November, 2024

A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network.
Mob. Networks Appl., October, 2024

Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models.
IEEE Access, 2024

Human Activity Recognition Using Deep Learning Techniques for Healthcare Applications.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Automatically Generate Impression From Findings In Radiology Report Using BERT.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Review of Disease Detection in Sugarcane Using Machine Learning and Deep Learning Techniques.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique.
Multim. Tools Appl., April, 2023

An efficient focused crawler using LSTM-CNN based deep learning.
Int. J. Syst. Assur. Eng. Manag., February, 2023

Capturing uncertainties through log analysis using DevOps.
Int. J. Data Min. Model. Manag., 2023

ACMFNN: A Novel Design of an Augmented Convolutional Model for Intelligent Cross-Domain Malware Localization via Forensic Neural Networks.
IEEE Access, 2023

2022
A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images.
Int. J. Heal. Inf. Syst. Informatics, 2022

COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18.
Int. J. Fuzzy Syst. Appl., 2022

Analysis of Vulnerabilities in Hadoop Map Reduce Framework: A Review.
Proceedings of the Workshop on Computer Networks and Communications (WCNC 2022) Co-located with TOOTILL 100, 2022

2021
Accelerated Singular Value Decomposition (ASVD) using momentum based Gradient Descent Optimization.
J. King Saud Univ. Comput. Inf. Sci., 2021

2020
Data encoding and cost optimised distribution for efficient and secure storage in cloud federation.
Int. J. Inf. Comput. Secur., 2020

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

Recommendation Systems: Techniques, Challenges, Application, and Evaluation.
Proceedings of the Soft Computing for Problem Solving, 2017

2009
A Proposed Algorithm to improve security & Efficiency of SSL-TLS servers using Batch RSA decryption
CoRR, 2009

A New Protocol Model for Verification of Payment Order Information Integrity in Online E Payment System.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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