Anatolij Bezemskij

Dr Anatolij Bezemskij BEng, PhD

Dr Anatolij Bezemskij
BEng, PhD

Lecturer

Computing and Information Systems

Faculty of Architecture, Computing and Humanities

Dr. Bezemskij is a Lecturer in Computer Science and a member of the IoT and Security (ISEC) research group, with particular interest in cyber-physical security. Previously he was a Research Associate working on the experimental evaluation of security breaches in smart home environments (ESPSRC CHIST-ERA project COCOON) and Ph.D student working on intrusion detection for autonomous robotic vehicles funded by the MoD's Defence Science and Technology Laboratory.

Lecturer in Computer Science

Module leader 2019/2020

COMP1609 - Network and Internet Technology and Design

COMP1671 - Penetration Testing and Ethical Vulnerability Scanning

COMP1742 - Cyber Physical Security

Tutoring 2013-2019

Communication Systems

Computer System Architectures (Programming Languages: Assembly/C)

Network and Operating Systems

Operating Systems

Introduction to Smart Systems (Programming Languages: Assembly/C)

Penetration Testing and Ethical Vulnerability Scanning

Systems Programming (Programming Languages: C++/C#)

Winner of Extra Mile Award, 2017, Student Led Teaching Awards

Shortlisted for Supervisor of the Year, 2016, Student Led Teaching Awards

School Prize for Outstanding Undergraduate Achievement in Smart Systems Technology Department, 2013, University of Greenwich

Reviewer, Computers & Security, Elsevier

Cyber-Physical Security

Internet of Things Security

Smart Systems Technology

Autonomous Robotic System Security

Network Security

Industrial Control Systems

Loukas, G., Karapistoli, E., Panaousis, E., Sarigiannidis, P., Bezemskij, A. and Vuong, T., 2019. A taxonomy and survey of cyber-physical intrusion detection approaches for vehicles. Ad Hoc Networks, 84, pp.124-147.

Heartfield, R., Loukas, G., Budimir, S., Bezemskij, A., Fontaine, J.R., Filippoupolitis, A. and Roesch, E., 2018. A taxonomy of cyber-physical threats and impact in the smart home. Computers & Security.

Bezemskij, A., Loukas, G., Gan, D. and Anthony, R.J., 2017, June. Detecting cyber-physical threats in an autonomous robotic vehicle using Bayesian Networks. In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 98-103). IEEE.

Bezemskij, A., Loukas, G., Anthony, R.J. and Gan, D., 2016, December. Behaviour-based anomaly detection of cyber-physical attacks on a robotic vehicle. In 2016 15th International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS) (pp. 61-68). IEEE.

Bezemskij, A., Anthony, R.J., Loukas, G. and Gan, D., 2016. Threat evaluation based on automatic sensor signal characterisation and anomaly detection.

Vuong, T.P., Loukas, G., Gan, D. and Bezemskij, A., 2015, November. Decision tree-based detection of denial of service and command injection attacks on robotic vehicles. In 2015 IEEE International Workshop on Information Forensics and Security (WIFS) (pp. 1-6). IEEE.

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