Zeba Idrees

14 papers Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hardware Security Modules for Secure Communications in the Industrial Internet of Things. IEEE Commun. Surv. Tutorials Shahid Latif, Djamel Djenouri, Zeba Idrees, Jawad Ahmad, Qurat-Ul-Ain Mastoi, Zhuo Zou
2025	J	`jnl`	Enhancing IEEE 1588 PTP security for IIoT networks: A lightweight attack detection and mitigation framework. Internet Things Zeba Idrees, Shahid Latif, Hira Tahir, Li-Rong Zheng
2021	J	`jnl`	A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things. IEEE Access Zil E. Huma, Shahid Latif, Jawad Ahmad, Zeba Idrees, Anas Ibrar, Zhuo Zou, Fehaid Alqahtani, Fatmah Baothman
2021	J	`jnl`	A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things. J. Ind. Inf. Integr. Shahid Latif, Zeba Idrees, Jawad Ahmad, Lirong Zheng, Zhuo Zou
2021	J	`jnl`	Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions. Trans. Emerg. Telecommun. Technol. Shahid Latif, Zeba Idrees, Zil E. Huma, Jawad Ahmad
2021	J	`jnl`	Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. Sensors Shahid Latif, Maha Driss, Wadii Boulila, Zil E. Huma, Sajjad Shaukat Jamal, Zeba Idrees, Jawad Ahmad
2021	J	`jnl`	Fast and Robust Spectrum Sensing for Cognitive Radio Enabled IoT. IEEE Access Zeba Idrees, Muhammad Usman, Hasan Erteza Gelani, Lirong Zheng
2020	J	`jnl`	A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network. IEEE Access Shahid Latif, Zhuo Zou, Zeba Idrees, Jawad Ahmad
2020	—	`conf`	DRaNN: A Deep Random Neural Network Model for Intrusion Detection in Industrial IoT. UCET Shahid Latif, Zeba Idrees, Zhuo Zou, Jawad Ahmad
2020	J	`jnl`	IEEE 1588 for Clock Synchronization in Industrial IoT and Related Applications: A Review on Contributing Technologies, Protocols and Enhancement Methodologies. IEEE Access Zeba Idrees, Jose Granados, Yang Sun, Shahid Latif, Li Gong, Zhuo Zou, Lirong Zheng
2020	J	`jnl`	Low cost air pollution monitoring systems: A review of protocols and enabling technologies. J. Ind. Inf. Integr. Zeba Idrees, Lirong Zheng
2018	J	`jnl`	Edge Computing Based IoT Architecture for Low Cost Air Pollution Monitoring Systems: A Comprehensive System Analysis, Design Considerations & Development. Sensors Zeba Idrees, Zhuo Zou, Lirong Zheng
2015	J	`jnl`	Spectrum sensing using low-complexity principal components for cognitive radios. EURASIP J. Wirel. Commun. Netw. Zeba Idrees, Farrukh Aziz Bhatti, Adnan Rashdi
2014	Misc	`conf`	PCA Based Spatial Spectrum Sensing for MIMO Cognitive Radios. FIT Zeba Idrees, Adnan Rashdi

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.