Rajesh Kumar Pateriya

14 papers Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network. Mob. Networks Appl. Priyanka Verma, A. Rama Krishna Kowsik, Rajesh Kumar Pateriya, Nitesh Bharot, Ankit Vidyarthi, Deepak Gupta
2024	J	`jnl`	Combating deepfakes: a comprehensive multilayer deepfake video detection framework. Multim. Tools Appl. Nikhil Rathoure, Rajesh Kumar Pateriya, Nitesh Bharot, Priyanka Verma
2023	J	`jnl`	A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique. Multim. Tools Appl. Yatendra Sahu, Abhishek Tripathi, Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Abhishek Gupta
2023	J	`jnl`	An efficient focused crawler using LSTM-CNN based deep learning. Int. J. Syst. Assur. Eng. Manag. Gourav Kumar Shrivastava, Rajesh Kumar Pateriya, Praveen Kaushik
2023	J	`jnl`	Capturing uncertainties through log analysis using DevOps. Int. J. Data Min. Model. Manag. Rajeev Kumar Gupta, Arti Jain, Ruchika Kumar, Rajesh Kumar Pateriya
2022	J	`jnl`	A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images. Int. J. Heal. Inf. Syst. Informatics Rajeev Kumar Gupta, Nilesh Kunhare, Rajesh Kumar Pateriya, Nikhlesh Pathik
2022	J	`jnl`	COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18. Int. J. Fuzzy Syst. Appl. Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Priyanka Verma, Yatendra Sahu
2022	—	`conf`	Implementation of SARSA-HMM Technique for Face Recognition. MIND (2) Anil Kumar Yadav, Shiv Shankar Prasad Shukla, Vikas Kumar Jain, Rajesh Kumar Pateriya
2021	J	`jnl`	Accelerated Singular Value Decomposition (ASVD) using momentum based Gradient Descent Optimization. J. King Saud Univ. Comput. Inf. Sci. Sandeep Kumar Raghuwanshi, Rajesh Kumar Pateriya
2020	J	`jnl`	Data encoding and cost optimised distribution for efficient and secure storage in cloud federation. Int. J. Inf. Comput. Secur. Sonika Shrivastava, Rajesh Kumar Pateriya
2017	J	`jnl`	Balance Resource Utilization (BRU) Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model. J. Organ. End User Comput. Rajeev Kumar Gupta, Rajesh Kumar Pateriya
2017	—	`conf`	Recommendation Systems: Techniques, Challenges, Application, and Evaluation. SocProS (2) Sandeep Kumar Raghuwanshi, Rajesh Kumar Pateriya
2009	—	`conf`	A New Protocol Model for Verification of Payment Order Information Integrity in Online E Payment System. NaBIC Sandeep Kumar Raghuwanshi, Rajesh Kumar Pateriya, R. P. Singh
2009	J	`jnl`	A Proposed Algorithm to improve security & Efficiency of SSL-TLS servers using Batch RSA decryption CoRR Rajesh Kumar Pateriya, J. L. Rana, S. C. Shrivastava, Jaideep Patel

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.