Daniel Uroz

Daniel Uroz

Postdoctoral Researcher in Cybersecurity at Universidad de Zaragoza

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Research Interests

Daniel Uroz is a postdoctoral researcher in cybersecurity at the RME Group of the Universidad de Zaragoza (Spain), supervised by Prof. Ricardo J. Rodríguez. He holds a Ph.D. from the same university and his current research focuses on the analysis of new trends in malware evolution. He has several years of experience in malware analysis, reverse engineering, and digital forensics in both the public and private sectors. Always looking for future opportunities to apply his knowledge to fight cybercrime on a global scale, he is looking for either a full remote or hybrid position in the city of Zaragoza.

News

Jun 2024
I have passed my PhD defense, congratulations!
Apr 2024
All set! I will defend my thesis in mid-June
Mar 2024
Dissertation submitted! Wish me luck!

Experience

Postdoctoral Researcher in Cybersecurity
Universidad de Zaragoza, Spain - Hybrid
Jul 2024–Present
Ph.D. in Computer Science and Systems Engineering
Universidad de Zaragoza, Spain - Hybrid
Jan 2020–Jun 2024
Research Assistant
Universidad de Zaragoza, Spain - Hybrid
Jun 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

Education

Ph.D. in Computer Science and Systems Engineering
Universidad de Zaragoza, Spain
2024
M.S. in Research in Cyber Security
Universidad de León, Spain
2020
B.S. in Computer Science
Universidad de Zaragoza, Spain
2016

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