Rajesh Kumar Shrivastava

19 papers B 1C 3Misc 1Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems. Expert Syst. J. Knowl. Eng. Amar Singh, Rajesh Kumar Shrivastava, Ashutosh Srivastava
2025	J	`jnl`	LIRAD: lightweight tree-based approaches on resource constrained IoT devices for attack detection. Clust. Comput. Sanket Mishra, Thangellamudi Anithakumari, Rashmi Sahay, Rajesh Kumar Shrivastava, Sachi Nandan Mohanty, Afzal Hussain Shahid
2024	—	`conf`	A Generalized Federated Learning Approach for Robust Crop Disease Classification Across Diverse Farms. ANTS Rajesh Kumar Shrivastava, Amit Kumar Dwivedi, Suneet Kumar Gupta, Dibyanarayan Hazra, Ayush Maurya, Ankita Gupta, Brijendra Pratap Singh
2024	—	`conf`	BioPKI: Identity Authentication with Biometric Public Key Infrastructure in Healthcare Systems. ANTS Vandit Barola, Vimal Kumar, Debjani Ghosh, Rajesh Kumar Shrivastava
2024	—	`conf`	Enhanced Prediction of Lung Cancer Using Machine Learning. IC3I Ankush Goyal, Rajesh Kumar Shrivastava, Mohit Agarwal, Neeraj Joshi
2024	J	`jnl`	Routing attack induced anomaly detection in IoT network using RBM-LSTM. ICT Express Rashmi Sahay, Anand Nayyar, Rajesh Kumar Shrivastava, Muhammad Bilal, Simar Preet Singh, Sangheon Pack
2024	—	`conf`	Secure and privacy focused electronic health record management framework using blockchain and IPFS. ANTS Puja Sahay Prasad, Rajesh Kumar Shrivastava, Gampa Pranava Sai, Atyam Harshith, Madha Harish
2023	—	`conf`	Machine Learning Approach to Detect Fake News. ANTS Sakshi Khare, Pushpa Singh, Pankaj Kumar, Rajesh Kumar Shrivastava
2022	J	`jnl`	Code integrity verification using cache memory monitoring. Inf. Secur. J. A Glob. Perspect. Rajesh Kumar Shrivastava, Varun Natu, Chittaranjan Hota
2022	J	`jnl`	Securing Internet of Things devices against code tampering attacks using Return Oriented Programming. Comput. Commun. Rajesh Kumar Shrivastava, Simar Preet Singh, Mohammad Kamrul Hasan, Gagandeep, Shayla Islam, Salwani Abdullah, Azana Hafizah Mohd Aman
2021	J	`jnl`	UnderTracker: Generating Robust Binaries Using Execution Flow Traces. Inf. Syst. Frontiers Rajesh Kumar Shrivastava, Chittaranjan Hota
2020	C	`conf`	Code-Tampering Defense for Internet of Things Using System Call Traces. I4CS Rajesh Kumar Shrivastava, Chittaranjan Hota
2019	Misc	`conf`	Attack Detection and Forensics Using Honeypot in IoT Environment. ICDCIT Rajesh Kumar Shrivastava, Bazila Bashir, Chittaranjan Hota
2019	C	`conf`	Code Tamper-Proofing using Dynamic Canaries. APCC Rajesh Kumar Shrivastava, Kevin Jude Concessao, Chittaranjan Hota
2019	—	`conf`	Preventing data tampering in IoT networks. ANTS Rajesh Kumar Shrivastava, Sanket Mishra, V. E. Archana, Chittaranjan Hota
2019	J	`jnl`	Profile-guided code identification and hardening using return oriented programming. J. Inf. Secur. Appl. Rajesh Kumar Shrivastava, Chittaranjan Hota
2019	—	`conf`	UnderTracker: Binary Hardening Through Execution Flow Verification. SKM Rajesh Kumar Shrivastava, Chittaranjan Hota, Govind Mittal, Zahid Akhtar
2017	C	`conf`	Resilient complex event processing in IoT using side-channel information. SIN Rajesh Kumar Shrivastava, Sanket Mishra, Srimanta Barua, Chittaranjan Hota
2017	B	`conf`	Tamper-resistant code using optimal ROP gadgets for IoT devices. IWCMC Chittaranjan Hota, Rajesh Kumar Shrivastava, Shivangi Shipra

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.