Projects per year
Personal profile
Research interests
My main research focuses on the engineering of secure and trustworthy systems that ensure data privacy. My research interests are in the area Cyber Threat Intelligence (CTI), Artificial Intelligence (AI) for Cyber Security, Threat Modeling, and Security Requirements Engineering. I study methods, tools, and techniques that support engineers in the development of systems that are secure and protect data privacy
Current research projects:
- DEFeND - A data governance framework for supporting GDPR - H2020 - https://www.defendproject.eu/
Previous research projects:
- VisiOn - Visual Privacy Management in User Centric Open Environments - H2020 - https://cordis.europa.eu/project/id/653642
- MITIGATE - Multidimensional, IntegraTed, rIsk assessment framework and dynamic, collaborative Risk ManaGement tools for critical information infrAstrucTurEs – H2020 - https://cordis.europa.eu/project/id/653212
- DEFTRUST – DEsigning For TRUST – EPSRC & BT funded
Scholarly biography
I am a Principal Lecturer in Cyber Security at the School of Computing, Engineering and Mathematics at the University of Brighton UK, since 2014. I am also a member of the Centre for Secure, Intelligent, and Usable Systems. Before joining University of Brighton I was a part time Lecturer at University of East London (UEL). I hold a PhD in secure software engineering from UEL and I was awarded a PhD scholarship from the Engineering and Physical Sciences Research Council (EPSRC) and British Telecom (BT). I received my MSc in Internet Systems Engineering from University of East London and my BSc degree in Information Technology from the Technological Educational Institute of Thessaloniki, Greece.
Supervisory Interests
If you are interested in a PhD under my supervision and you are willing to work hard with me in my research area (cyber security and privacy), please feel free to contact me. Several thesis topics, as well as MSc and undergraduate projects, are available.
Knowledge exchange
I am the academic supervisor for a 3 year KTP (Knowledge Transfer Partnership) project that aims to develop cyber security applications.
Approach to teaching
I am currently teaching ‘Secure Information Systems Engineering’ (MSc level), ‘Information Security Management’ (MSc level), ‘Systems Analysis and Design’ (BSc level), and ‘Object-Oriented Analysis and Modelling Methods’ (BSc level).
I am passionate about teaching and I am employing a combination of active learning techniques, i.e. inquiry based learning and cooperative learning that provide students with deep understanding of software development concepts and experience of working with all types of people as in real life software project that include developers from different cultural background.
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Network
Projects
- 1 Finished
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Pragmatic Knowledge Transfer Partnership
Mouratidis, H. & Pavlidis, M.
1/12/18 → 30/11/21
Project: Research Councils / Government Depts.
Research output
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Long-Range attack detection on permissionless blockchains using Deep Learning
Sanda, O., Pavlidis, M., Seraj, S. & Polatidis, N., 25 Jan 2023, In: Expert Systems with Applications. 218, 10 p., 119606.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
MVDroid: an Android malicious VPN detector using neural networks
Seraj, S., Khodambashi, S., Pavlidis, M. & Polatidis, N., 21 Mar 2023, (Accepted/In press) In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
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A Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare
Sanda, O., Pavlidis, M. & Polatidis, N., 11 Mar 2022, In: Digital. 2, 1, p. 65-87 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
HamDroid: permission-based harmful android anti-malware detection using neural networks
Seraj, S., Khodambashi, S., Pavlidis, M. & Polatidis, N., 13 Jan 2022, In: Neural Computing and Applications. 34, 18, p. 15165-15174 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks
Seraj, S., Pavlidis, M. & Polatidis, N., 10 Jun 2022, International Conference on Engineering Applications of Neural Networks: EANN. Iliadis, L., Jayne, C., Tefas, A. & Pimenidis, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 203-212 10 p. (Communications in Computer and Information Science; vol. 1600 CCIS).Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
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Journal of Surveillance, Security and Safety (Journal)
Michalis Pavlidis (Member of editorial board)
11 Nov 2022 → 11 Nov 2024Activity: Publication peer-review and editorial work › Editorial work
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PhD External Examiner Edinburgh Napier University - Privacy Preserving Systems around Security, Trust and Identity
Michalis Pavlidis (Examiner)
Jun 2022Activity: External examination and supervision › Research degree
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PhD External Examiner Bournemouth University - Integrating Safety, Security and Human Factors Engineering in Rail Infrastructure Design and Evaluation
Michalis Pavlidis (Examiner)
Nov 2021Activity: External examination and supervision › Research degree
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The Evolution of Application Security in the Aftermath of COVID Pandemic
Michalis Pavlidis (Presenter)
23 Jun 2021Activity: External talk or presentation › Invited talk
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Journal of Computer Science Research (Journal)
Michalis Pavlidis (Member of editorial board)
25 Oct 2019 → 24 Oct 2020Activity: Publication peer-review and editorial work › Editorial work