Dr Martin Barrere is a Cyber Security Researcher at the Institute for Security Science and Technology at Imperial College London, UK. He joined Imperial in 2014. His current work focuses on cyber security for critical national infrastructure. In 2020, he was awarded a GCHQ Research Fellowship for National Resilience. His main research interests include network security, cyber-physical systems, attack graphs, security metrics, network management, risk analysis, autonomic computing, probabilistic graphical models, and forensic investigations.
Dr Barrere received his PhD degree in Computer Science from the University of Lorraine / INRIA, France, in 2014. Prior to this, he worked in both academic and industry domains during several years, undertaking professional roles as CTO, network and system administrator, and software developer, in different companies. Dr Barrere is a frequent reviewer for several conferences and journals, serves in the technical program committees of various international conferences, and is an Associate Editor for the Journal of Network and Systems Management.
Dr Barrere's research publications can be found at Google Scholar or DBLP, among others.
Barrere Cambrun M, Hankin C, 2021, Analysing mission-critical cyber-physical systems with AND/OR graphs and MaxSAT, Acm Transactions on Cyber-physical Systems, Vol:5, ISSN:2378-962X, Pages:1-29
et al., 2020, Measuring cyber-physical security in industrial control systems via minimum-effort attack strategies, Journal of Information Security and Applications, Vol:52, ISSN:2214-2126, Pages:1-17
Hankin C, Barrère M, 2020, Trustworthy Inter-connected Cyber-Physical Systems, Critical Information Infrastructures Security, Springer International Publishing, Pages:3-13, ISBN:9783030582944
Barrere Cambrun M, Hankin C, Fault Tree Analysis: Identifying Maximum Probability Minimal Cut Sets with MaxSAT, 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020), IEEE
et al., 2019, 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