Rajendra Prasad Mahapatra

27 papers Journal 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Int. J. Syst. Assur. Eng. Manag.
Akanksha, Saurabh Sharma, Rajendra Prasad Mahapatra
2026 J jnl
IEEE Trans. Consumer Electron.
M. Thirunavukkarasan, Krishna Priya Remamany, M. P. Vaishnnave, S. A. Sahaaya Arul Mary, Ganesh Gopal Devarajan, Rajendra Prasad Mahapatra
2026 J jnl
Int. J. Bio Inspired Comput.
Rakesh Kumar Yadav, Sunil Kumar, Chandan Kumar Sonkar, Rajendra Prasad Mahapatra
2025 J jnl
Multim. Tools Appl.
Sunil Kumar, Rajendra Prasad Mahapatra
2025 J jnl
Knowl. Based Syst.
Akanksha, Saurabh Sharma, Himanshu Chaudhary, Rajendra Prasad Mahapatra
2025 J jnl
IEEE Trans. Consumer Electron.
Ganesh Gopal Devarajan, M. Thirunavukkarasan, Maheswari Mahalinghum, Daniel Arockiam, Mu-En Wu, Rajendra Prasad Mahapatra
2025 J jnl
Clust. Comput.
Saurabh Gupta, Rajendra Prasad Mahapatra
2024 J jnl
IEEE Trans. Serv. Comput.
T. N. Shankar, Pragnyaban Mishra, Sasmita Padhy, Rajendra Prasad Mahapatra, Anup Behera
2024 J jnl
IEEE Trans. Consumer Electron.
Ganesh Gopal Devarajan, U. Kumaran, Gopalakrishnan Chandran, Rajendra Prasad Mahapatra, Ahmed Alkhayyat
2023 J jnl
Multim. Tools Appl.
Tejal Tiwary, Rajendra Prasad Mahapatra
2023 J jnl
Cyber Secur. Appl.
Anjali Singh, Marimuthu Karuppiah, Rajendra Prasad Mahapatra
2023 J jnl
Multim. Tools Appl.
Tejal Tiwary, Rajendra Prasad Mahapatra
2023 J jnl
Phys. Commun.
Nithya Rekha Sivakumar, Senthil Murugan Nagarajan, Ganesh Gopal Devarajan, Lokaiah Pullagura, Rajendra Prasad Mahapatra
2023 J jnl
Sensors
Ashwani Kumar, Mohit Kumar, Rajendra Prasad Mahapatra, Pronaya Bhattacharya, Thi-Thu-Huong Le, Sahil Verma, Kavita, Khalid Mohiuddin
2023 J jnl
Complex Intell. Syst.
Aijun Liu, Rajendra Prasad Mahapatra, A. V. R. Mayuri
2022 J jnl
Concurr. Comput. Pract. Exp.
Neha Gupta, Rajendra Prasad Mahapatra
2022 J jnl
Int. J. Imaging Syst. Technol.
Arun Kumar, Rajendra Prasad Mahapatra
2022 J jnl
Pervasive Mob. Comput.
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
2022 J jnl
Comput. Commun.
Senthil Murugan Nagarajan, Ganesh Gopal Deverajan, Ali Kashif Bashir, Rajendra Prasad Mahapatra, Mohammed S. Al-Numay
2022 J jnl
Int. J. Intell. Comput. Cybern.
Merlin Linda George, N. V. S. Sree Rathna Lakshmi, Senthil Murugan Nagarajan, Rajendra Prasad Mahapatra, V. Muthukumaran, M. Sivaram
2022 J jnl
IEEE Internet Things Mag.
Biswaranjan Bhola, Raghvendra Kumar, Rohit Sharma, Rajendra Prasad Mahapatra
2022 J jnl
Wirel. Pers. Commun.
Bingjun Wan, Chengwei Xu, Rajendra Prasad Mahapatra, P. Selvaraj
2021 J jnl
Int. J. Commun. Syst.
Manoj Kumar Vishnoi, Satya Sai Srikant, Rajendra Prasad Mahapatra, Shikha Swaroop Sharma
2021 J jnl
Knowl. Based Syst.
Sunil Kumar, Rajendra Prasad Mahapatra
2021 J jnl
Comput. Sci. Rev.
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
2019 J jnl
Big Data
Adhirai Subramaniyam, Rajendra Prasad Mahapatra, Paramjit Singh
2012 J jnl
Int. J. Knowl. Based Intell. Eng. Syst.
Rajendra Prasad Mahapatra, Manish Bhardwaj, Sachi Pandey

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.