S. Pratap Singh

26 papers Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Suman Yadav, S. Pratap Singh, Bharat Gupta
2025 J jnl
IEEE Access
S. Pratap Singh, Amit Kumar, Raghevendra Jaiswal, Kanwarpreet Kaur, Rajkumar Singh Rathore, Tiansheng Yang
2025 J jnl
IEEE Access
S. Pratap Singh, Arun Prakash Agrawal, Kanwarpreet Kaur, Amit Kumar, Kulbir Singh, Ghanshyam Singh
2024 — conf
WPMC
Raghavendra Jaiswal, S. Pratap Singh, Monali Gulhane, Nitin Rakesh, Rajneesh Kumar Singh
2024 — conf
WPMC
Suman Yadav, Bharat Gupta, S. Pratap Singh
2024 J jnl
Wirel. Pers. Commun.
Bhavya Jain, Dharmendra Yadav, S. Pratap Singh, Amit Kumar, Alok K. Kushwaha
2024 — conf
WPMC
Rajneesh Kumar Singh, S. Pratap Singh, Monali Gulhane, Nitin Rakesh, Irfanul Hasan, Arun Prakash Agrawal
2024 J jnl
IET Commun.
S. Pratap Singh, Urvashi Chugh, Deepak Kumar Singh, Amit Kumar, Kanwar Preet Kaur, Nitin Rakesh, Ghanshyam Singh
2024 J jnl
Wirel. Pers. Commun.
Saket Mishra, Urvashi Chugh, Nishika Jain, S. Pratap Singh, Ghanshyam Singh
2023 — conf
BDA (Astronomy, Science, and Engineering)
Raghevendra Jaiswal, Masood Asim, Urvashi Chugh, Prabhakar Agrawal, S. Pratap Singh
2023 J jnl
Wirel. Pers. Commun.
Srishti Kumari, Swati Singh, Rajneesh Kumar Singh, V. K. Pandey, Dinesh Kumar Singh, S. Pratap Singh, M. Lakshmanan
2023 J jnl
IET Commun.
Shilpi Gadi, S. Pratap Singh, Amit Kumar, Rajneesh Kumar Singh, Ghanshyam Singh
2023 J jnl
Wirel. Pers. Commun.
S. Pratap Singh, Ruchi Rai, Shashank Awasthi, Dinesh Kumar Singh, M. Lakshmanan
2023 J jnl
Wirel. Pers. Commun.
Shilpi Gadi, S. Pratap Singh, Sanjay Kumar, Ghanshyam Singh, Anurag Singh Baghel
2022 — conf
BDA (Astronomy, Science, and Engineering)
Urvashi Chugh, Amit Chugh, Prabhakar Agarwal, S. Pratap Singh
2022 J jnl
Int. J. Commun. Syst.
S. Pratap Singh, Shekhar Singh, Amit Kumar, Ashish Pandey, Lakshmanan M, Noor Mohammed Vali Mohamad, Sanjay Kumar
2022 — conf
ICAC
Bhavya Jain, Abhiraj Singh, Amit Kumar, Piyush Yadav, S. Pratap Singh
2022 J jnl
IEEE Access
S. Pratap Singh, Suman Yadav, Rajneesh Kumar Singh, Vineet Kansal, Ghanshyam Singh
2021 J jnl
Phys. Commun.
Rajneesh Kumar Singh, S. Pratap Singh, Shailesh Tiwari
2020 J jnl
Int. J. Commun. Syst.
S. Pratap Singh, Amit Kumar, Saket Mishra, Lakshmanan M, Sanjay Kumar
2020 J jnl
Wirel. Pers. Commun.
S. Pratap Singh, Amit Kumar, Saket Mishra, Sanjay Kumar
2020 J jnl
Nano Commun. Networks
Rajneesh Kumar Singh, S. Pratap Singh, Shailesh Tiwari
2020 J jnl
IEEE Access
S. Pratap Singh, Shekhar Singh, Weisi Guo, Saket Mishra, Sanjay Kumar
2020 — conf
NanoCoCoA@SenSys
S. Pratap Singh, Suman Yadav, Saket Mishra
2016 J jnl
Wirel. Pers. Commun.
S. Pratap Singh, Sanjay Kumar
2016 J jnl
Int. J. Wirel. Mob. Comput.
S. Pratap Singh, Meenu Jadon, Rahul Kumar, Sanjay Kumar

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.