Dr Martín Barrère is a Research Associate at the Department of Computing at Imperial College. He joined the Distributed Software Engineering (DSE) group in October 2014. His current research work focuses on intelligent protection mechanisms for cloud environments at run-time.
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).
His topics of interest include computer security, autonomic computing, vulnerability management, mobile and cloud computing, distributed computing, digital evidence and forensics, formal models and languages, Linux-based systems and TCP/IP networks administration, Java technologies, logic and database systems.
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., 2017, 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), IEEE, ISSN:2165-9605