Abraham Rodriguez-Mota

13 papers Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incremental Development of a Multilayer Neural Network for CAN bus Attack Detection. Int. J. Comb. Optim. Probl. Informatics Ponciano Jorge Escamilla-Ambrosio, Juan Carlos Venegas-Segura, Magdalena Saldaña Pérez, Abraham Rodriguez-Mota
2025	—	`conf`	Detection of Cyberattacks on Industrial Communications Using the MMVC Representation of Modbus Protocol Data. LATINCOM Saúl Muñoz-Gutiérrez, Abraham Rodriguez-Mota
2021	J	`jnl`	IoTsecM: A UML/SysML Extension for Internet of Things Security Modeling. IEEE Access Ponciano Jorge Escamilla-Ambrosio, David Alejandro Robles-Ramírez, Theo Tryfonas, Abraham Rodriguez-Mota, Gina Gallegos-García, Moisés Salinas-Rosales
2020	—	`conf`	Availability Vulnerabilities Evaluation to LoRaWAN. WITCOM Pamela Beltrán-García, Ponciano Jorge Escamilla-Ambrosio, Eleazar Aguirre Anaya, Abraham Rodriguez-Mota
2020	—	`conf`	Crowdsourcing and IoT Towards More Resilient Flooding Prone Cities. ICSC-Cities Ponciano Jorge Escamilla-Ambrosio, Maria G. Pulido-Navarro, Isabel V. Hernández-Gutiérrez, Abraham Rodriguez-Mota, Marco Antonio Moreno Ibarra
2020	—	`conf`	Evolution of COVID-19 Patients in Mexico City Using Markov Chains. WITCOM Ricardo C. Villarreal-Calva, Ponciano Jorge Escamilla-Ambrosio, Abraham Rodriguez-Mota, Juan Manuel Ramírez-Cortés
2019	J	`jnl`	Securing mHealth Applications Using IoTsecM Security Modelling: Dentify.Me mApp Case Study for Urgent Care Management. Computación y Sistemas Ponciano Jorge Escamilla-Ambrosio, David Alejandro Robles-Ramírez, Shada Alsalamah, Theo Tryfonas, Sandra D. Orantes-Jiménez, Abraham Rodriguez-Mota, Sakher Alqahtani, Thamer Nouh, Hessah A. Alsalamah, Shahad Almutawaa, Hend Alkabani, Mshael Alsmari, Nouf Alashgar, Abeer Alrajeh, Heba A. Kurdi
2018	J	`jnl`	Reassessing Android Malware Analysis: From Apps to IoT System Modelling. EAI Endorsed Trans. Ubiquitous Environ. Abraham Rodriguez-Mota, Ponciano Jorge Escamilla-Ambrosio, Eleazar Aguirre Anaya, Jassim Happa
2016	—	`conf`	Feature selection and ensemble of classifiers for Android malware detection. LATINCOM Lilian D. Coronado-De-Alba, Abraham Rodriguez-Mota, Ponciano Jorge Escamilla-Ambrosio
2016	—	`conf`	Native malware detection in smartphones with android OS using static analysis, feature selection and ensemble classifiers. MALWARE Salvador Morales-Ortega, Ponciano Jorge Escamilla-Ambrosio, Abraham Rodriguez-Mota, Lilian D. Coronado-De-Alba
2016	—	`conf`	Towards IoT cybersecurity modeling: From malware analysis data to IoT system representation. LATINCOM Abraham Rodriguez-Mota, Ponciano Jorge Escamilla-Ambrosio, Jassim Happa, Jason R. C. Nurse
2016	—	`conf`	Towards a 2-hybrid Android malware detection test framework. CONIELECOMP Abraham Rodriguez-Mota, Ponciano Jorge Escamilla-Ambrosio, Salvador Morales-Ortega, Moisés Salinas-Rosales, Eleazar Aguirre Anaya
2009	—	`—`	Towards extreme design. Abraham Rodriguez-Mota

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.