Fahad M. Alotaibi

18 papers A 1Misc 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Agent-Based System for Location Privacy Protection in Location-Based Services. ISPRS Int. J. Geo Inf. Omar F. Aloufi, Ahmed S. Alfakeeh, Fahad M. Alotaibi
2024	A	`conf`	Mateen: Adaptive Ensemble Learning for Network Anomaly Detection. RAID Fahad M. Alotaibi, Sergio Maffeis
2024	Misc	`conf`	Rasd: Semantic Shift Detection and Adaptation for Network Intrusion Detection. SEC Fahad M. Alotaibi, Sergio Maffeis
2023	J	`jnl`	Analysis of Volterra Integrodifferential Equations with the Fractal-Fractional Differential Operator. Complex. Kamran, Aisha Subhan, Kamal Shah, Suhad Subhi Aiadi, Nabil Mlaiki, Fahad M. Alotaibi
2023	J	`jnl`	Enterprise resource planning adoption model for well-informed decision in higher learning institutions. J. Inf. Sci. Muaadh Mukred, Fahad M. Alotaibi, Zawiyah Mohammad Yusof, Umi Asma' Mokhtar, Burkan Hawash, Waleed Abdulkafi Ahmed
2023	J	`jnl`	Network Learning-Enabled Sensor Association for Massive Internet of Things. Comput. Syst. Sci. Eng. Alaa Omran Almagrabi, Rashid Ali, Daniyal M. Alghazzawi, Bander A. Alzahrani, Fahad M. Alotaibi
2023	J	`jnl`	Toward an SDN-Based Web Application Firewall: Defending against SQL Injection Attacks. Future Internet Fahad M. Alotaibi, Vassilios G. Vassilakis
2022	J	`jnl`	Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage. Inf. Process. Manag. Jianwen Wang, Abdullah Hisam Omar, Fahad M. Alotaibi, Yousef Ibrahim Daradkeh, Sara A. Althubiti
2022	J	`jnl`	Investigating the business intelligence capabilities' and network learning effect on the data mining for start-up's function. Inf. Process. Manag. Yi Xu, Xiaojuan Li, Fajaruddin Bin Mustakim, Fahad M. Alotaibi, Nabaz Nawzad Abdullah
2022	J	`jnl`	Numerical Inverse Laplace Transform Methods for Advection-Diffusion Problems. Symmetry Kamran, Farman Ali Shah, Wael Hosny Fouad Aly, Hasan Aksoy, Fahad M. Alotaibi, Ibrahim Mahariq
2021	J	`jnl`	SDN-Based Detection of Self-Propagating Ransomware: The Case of BadRabbit. IEEE Access Fahad M. Alotaibi, Vassilios G. Vassilakis
2020	J	`jnl`	Applying Deep Learning Technique for Depression Classification in Social Media Text. J. Medical Imaging Health Informatics Hussain Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi, Ibrahim A. Hameed
2019	J	`jnl`	Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Hum. centric Comput. Inf. Sci. Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi, Irfanullah Awan
2019	J	`jnl`	Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Hum. centric Comput. Inf. Sci. Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi, Irfanullah Awan
2019	J	`jnl`	Ensuring the Productivity of Higher Learning Institutions Through Electronic Records Management System (ERMS). IEEE Access Muaadh Mukred, Zawiyah Mohammad Yusof, Fahad M. Alotaibi
2019	J	`jnl`	The Key Factors in Adopting an Electronic Records Management System (ERMS) in the Educational Sector: A UTAUT-Based Framework. IEEE Access Muaadh Mukred, Zawiyah Mohammad Yusof, Fahad M. Alotaibi, Umi Asma' Mokhtar, Fariza Fauzi
2014	—	`conf`	Architectural framework proposed of behavioural classroom simulation based second life environment. ICITST Fahad M. Alotaibi
2013	—	`conf`	Implementation and evaluation of classroom simulation for trainee teacher using second life environments. ICITST Fahad M. Alotaibi, Jordan Dimitrov

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.