Daniel Uroz

Daniel Uroz

Postdoctoral Researcher in Cybersecurity at Universidad de Zaragoza

email

PGP Key - Resume - LinkedIn - ORCID - dblp - Google Scholar

Professional Summary

Cybersecurity researcher with a Ph.D. in Computer Science and expertise in memory forensics, malware analysis, and IoT security. Published author in high-impact journals, experienced educator, and collaborator with global research institutions. Proven track record of developing memory forensics tools and contributing to cybersecurity innovation. Currently seeking opportunities to apply my expertise in cybersecurity research and innovation to industry challenges.

News

Sep 2024
I am pleased to announce that this December I will be an IAS Visiting Researcher at the Yokohama National University (Japan). I am looking forward to working with the excellent team in the laboratory of Prof. K. Yoshioka!
Ago 2024
Extended abstract accepted for ACM IMC 2024! See you in Madrid (Spain) in November!
Jun 2024
I have passed my PhD defense, congratulations!

Experience

Postdoctoral Researcher in Cybersecurity
Universidad de Zaragoza, Spain - Remote
Jul 2024–Present
Ph.D. in Computer Science and Systems Engineering
Universidad de Zaragoza, Spain - Hybrid
Jan 2020–Jun 2024
Research Assistant
Mar 2018–Dec 2019
Universidad de Zaragoza, Spain - Hybrid
Jun 2019–Dec 2019
Centro Universitario de la Defensa de Zaragoza, Spain - Hybrid
Mar 2018–Dec 2018
Malware Analyst
S21Sec, Madrid, 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 & Presentations

Journal articles

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 Articles

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

Conference Presentations

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

Advising Students

B.S. and M.S. Students

  • Automated System for Dynamic Deployment of Containers with CTF Challenges. Álvaro Romero de Tejada García. B.S. in Computer Science, Universidad de Zaragoza, course 2024/2025
  • Alessio Esposito Inchiostro. M.S. in Computer Science, Università del Piemonte Orientale (Italy), course 2024/2025

Alumni

  • WiFiGhost: A Tool to Facilitate WiFi Audit. Ismael Penacho Serhrouchni. B.S. in Computer Science, Universidad de Zaragoza, course 2023/2024

Skills

  • Programming: Python, Bash, C/C++
  • Tools: Volatility, IDA Pro, x64dbg, Sysinternals Suite, YARA
  • Specialties: Memory Forensics, Malware Analysis, Cybersecurity Research

Languages

  • English: full professional proficiency
  • Spanish: native proficiency