Dr Martín Barrère is a Research Associate at the Institute for Security Science and Technology at Imperial College London, UK. He joined Imperial in October 2014. His current research work focuses on cyber security for national critical infrastructure. His main research interests include network security, attack graphs, security metrics, cyber-physical security, network management, risk analysis, cyber-physical systems, industrial control systems, vulnerability management, autonomic computing, network hardening, security monitoring and digital forensics.
Dr Barrère received a PhD degree in Computer Science from the University of Lorraine, France, in June 2014. During his thesis (March 2011 - March 2014), he worked in the Madynes Research Team at INRIA (French National Institute for Research in Computer Science and Control), supervised by Prof. Dr. Olivier Festor and Dr. Rémi Badonnel. His thesis targets the design and development of novel approaches for managing vulnerabilities in autonomic networks and systems.
Prior to this, Dr Barrère received a Computer Engineering degree in 2010 after graduating from the University of the Republic, Montevideo, Uruguay. There, he is currently a member of the Computer Security group (GSI) at the Department of Computer Science (InCo) of the Engineering School. He has been a member of InCo since 2006. He also has 4 years of industry experience in the areas of network management and software development (March 2006 - March 2010).
Barrere M, Badonnel R, Festor O, 2014, Vulnerability Assessment in Autonomic Networks and Services: A Survey, IEEE Communications Surveys and Tutorials, Vol:16, ISSN:1553-877X, Pages:988-1004
et al., 2019, Assessing cyber-physical security in industrial control systems, 6th International Symposium for ICS & SCADA Cyber Security Research 2019, BCS Learning & Development, Pages:49-58
et al., CPS-MT: a real-time cyber-physical system monitoring tool for security Research, 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA2018), IEEE
Barrere M, Lupu EC, 2017, Naggen: a Network Attack Graph GENeration tool, 2017 IEEE Conference on Communications and Network Security, CNS 2017, IEEE, Pages:378-379
et al., Tracking the Bad Guys: An Efficient Forensic Methodology To Trace Multi-step Attacks Using Core Attack Graphs, 13th International Conference on Network and Service Management (CNSM'17)