Ph.D. in Computer Science and Systems Engineering
Universidad de Zaragoza, Spain
Present
Daniel Uroz
Ph.D. Student in Computer Science and Systems Engineering at the Universidad de Zaragoza
PGP Key - CV - LinkedIn - ORCID - dblp - Google Scholar
Research Interests
Daniel Uroz is currently pursuing his Ph.D. in Computer Science and Systems Engineering at the Universidad de Zaragoza (Spain), supervised by Prof. Ricardo J. Rodríguez and funded by the Gobierno de Aragón. His main research topic is to contribute to digital forensics for malware detection and network protocol analysis, while his interests are in different topics such as malware analysis, reverse engineering, network security and digital forensics. After finishing his Ph.D., he would like to join a team to apply his knowledge to fight cybercrime on a global scale, so he is looking for either a full remote or hybrid position in the city of Zaragoza.
News
Mar 2024
Dissertation submitted! Wish me luck!
Sept 2023
I started a research visit supervised by Prof. Carlos H. Gañán at TU Delft (Sept 2023–Nov 2023)
Education
M.S. in Research in Cyber Security
Universidad de León, Spain
2020
B.S. in Computer Science
Universidad de Zaragoza, Spain
2016
Experience
Ph.D. in Computer Science and Systems Engineering
Universidad de Zaragoza, Spain - Hybrid
Jan 2020–Present
Research Assistant
Universidad de Zaragoza, Spain - Hybrid
June 2019–Dec 2019
Research Assistant
Centro Universitario de la Defensa, Spain - Hybrid
Mar 2018–Dec 2018
Malware Analyst
S21Sec, Spain - On-site
Dec 2016–Mar 2018
Publications
Journal Papers
JIOT22
Daniel Uroz, Ricardo J. Rodríguez. Characterization and Evaluation of IoT Protocols for Data Exfiltration. IEEE Internet of Things Journal, 2022. doi:10.1109/JIOT.2022.3163469
FSIDI20
Daniel Uroz, Ricardo J. Rodríguez. On Challenges in Verifying Trusted Executable Files in Memory Forensics. Forensic Science International: Digital Investigation, 2020. doi:10.1016/j.fsidi.2020.300917 — 21% Acceptance Rate
DIIN19
Daniel Uroz, Ricardo J. Rodríguez. Characteristics and Detectability of Windows Auto-Start Extensibility Points in Memory Forensics. Digital Investigation, 2019. doi:10.1016/j.diin.2019.01.026 — 27% Acceptance Rate
Workshop Papers
SPW21
Daniel Uroz, Ricardo J. Rodríguez. Evaluation of the Executional Power in Windows using Return Oriented Programming. IEEE Workshop on Offensive Technologies (WOOT), 2021. doi:10.1109/SPW53761.2021.00056 — 35% Acceptance Rate
Industry Conferences
NcN22
Daniel Uroz, Ricardo J. Rodríguez. Characterization and Evaluation of IoT Protocols for Data Exfiltration. No cON Name, 2022, Spain
HITB18
Ricardo J. Rodríguez, Daniel Uroz. EasyROP: Automatic Generation of ROP Chains Using a Turing-Complete Instruction Set. HITB Security Conference, 2018, Netherlands
Rooted18
Ricardo J. Rodríguez, Daniel Uroz. EasyROP: Automatic Generation of ROP Chains Using a Turing-Complete Instruction Set. RootedCON IX, 2018, Spain
eCrime17
Daniel Uroz. Android LokiBot: Mobile Banking Malware Threat for Sale. e-Crime Congress, 2017, Spain