Abeer Alhuzali

11 papers A* 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Log-Based Anomaly Detection of System Logs Using Graph Neural Network. Comput. Mater. Continua Eman Alsalmi, Abeer Alhuzali, Areej Alhothali
2026	J	`jnl`	One Year After the PDPL: a Glimpse into the E-Commerce World in Saudi Arabia. CoRR Eman Alashwali, Abeer Alhuzali
2026	J	`jnl`	PhishNet: A Real-Time, Scalable Ensemble Framework for Smishing Attack Detection Using Transformers and LLMs. Comput. Mater. Continua Abeer Alhuzali, Qamar Al-Qahtani, Asmaa Niyazi, Lama Alshehri, Fatemah Alharbi
2025	J	`jnl`	Dynamic Orbital Resource Management (DORM) for 6G Networks: Enhancing Cybersecurity in Non-Terrestrial Systems. IEEE Access Fatemah Alharbi, Abeer Alhuzali, Easa Alalwany, Abdullah Alfahaid
2025	J	`jnl`	LLM-powered threat intelligence: a retrieval-augmented generation approach for cyber attack investigation. PeerJ Comput. Sci. Abeer Alhuzali
2024	J	`jnl`	Corrigendum to "Effective and scalable black-box fuzzing approach for modern web applications" [J. King Saud Univ. Comp. Info. Sci. 34(10) (2022) 10068-10078]. J. King Saud Univ. Comput. Inf. Sci. Aseel Alsaedi, Abeer Alhuzali, Omaimah Bamasag
2023	J	`jnl`	SGAN-IDS: Self-Attention-Based Generative Adversarial Network against Intrusion Detection Systems. Sensors Sahar Aldhaheri, Abeer Alhuzali
2022	J	`jnl`	Effective and scalable black-box fuzzing approach for modern web applications. J. King Saud Univ. Comput. Inf. Sci. Aseel Alsaedi, Abeer Alhuzali, Omaimah Bamasag
2018	A*	`conf`	NAVEX: Precise and Scalable Exploit Generation for Dynamic Web Applications. USENIX Security Symposium Abeer Alhuzali, Rigel Gjomemo, Birhanu Eshete, V. N. Venkatakrishnan
2016	A*	`conf`	Chainsaw: Chained Automated Workflow-based Exploit Generation. CCS Abeer Alhuzali, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan
2015	A*	`conf`	EKHunter: A Counter-Offensive Toolkit for Exploit Kit Infiltration. NDSS Birhanu Eshete, Abeer Alhuzali, Maliheh Monshizadeh, Phillip A. Porras, Venkat N. Venkatakrishnan, Vinod Yegneswaran

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.