Dr Panagiotis Andriotis PhD

Dr Panagiotis Andriotis

School of Computer Science
Lecturer in Computer Science (Flying Faculty)

Contact details

Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Panagiotis Andriotis is a Lecturer in Computer Science at the University of Birmingham, and a GIAC Certified Forensic Examiner (GIAC GCFE, GIAC GASF). He carries out interdisciplinary research into Cyber Security, Human Factors, and Mobile and Ubiquitous Computing. He teaches Computer Science, Cyber Security and Digital Forensics topics.

Dr Panagiotis Andriotis - personal page

Qualifications

  • PhD in Computer Science, University of Bristol, U.K, 2016
  • MSc (Distinction) in Computer Science, University of Bristol, U.K, 2011
  • BSc in Mathematics, National and Kapodistrian University of Athens, Greece, 2004
  • SFHEA, Senior Fellow of the Higher Education Academy, U.K.,
  • GIAC GCFE
  • GIAC GASF

Publications

Recent publications

Book

Andriotis, P, Li, S, Spyridopoulos, T & Stringhini, G 2017, A comparative study of android users’ privacy preferences under the runtime permission model. https://doi.org/10.1007/978-3-319-58460-7_42

Anastasopoulou, K, Kokolakis, S & Andriotis, P 2017, Privacy decision-making in the digital era: A game theoretic review. https://doi.org/10.1007/978-3-319-58460-7_41

Article

Nemorin, S, Vlachidis, A, Ayerakwa, HM & Andriotis, P 2022, 'AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development', Learning, Media and Technology. https://doi.org/10.1080/17439884.2022.2095568

Andriotis, P, Kirby, M & Takasu, A 2022, 'Bu-Dash: a universal and dynamic graphical password scheme (extended version)', International Journal of Information Security. https://doi.org/10.1007/s10207-022-00642-2

McCarthy, A, Ghadafi, E, Andriotis, P & Legg, P 2022, 'Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: a survey', Journal of Cybersecurity and Privacy, vol. 2, no. 1, pp. 154-190. https://doi.org/10.3390/jcp2010010

Li, S, Zhao, S, Yang, P, Andriotis, P, Xu, L & Sun, Q 2019, 'Distributed Consensus Algorithm for Events Detection in Cyber-Physical Systems', IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2019.2906157

Onwuzurike, L, Mariconti, E, Andriotis, P, Cristofaro, ED, Ross, G & Stringhini, G 2019, 'MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)', ACM Transactions on Privacy and Security, vol. 22, no. 2. https://doi.org/10.1145/3313391

Andriotis, P, Stringhini, G & Sasse, MA 2018, 'Studying users’ adaptation to Android’s run-time fine-grained access control system', Journal of Information Security and Applications. https://doi.org/10.1016/j.jisa.2018.02.004

Andriotis, P, Oikonomou, G, Mylonas, A & Tryfonas, T 2016, 'A study on usability and security features of the Android pattern lock screen', Information and Computer Security. https://doi.org/10.1108/ICS-01-2015-0001

Chapter

Andriotis, P, Kirby, M & Takasu, A 2022, Bu-Dash: A Universal and Dynamic Graphical Password Scheme. in Lecture Notes in Computer Science (LNCS). https://doi.org/10.1007/978-3-031-05563-8_14

Andriotis, P & Takasu, A 2020, To Allow, or Deny? That is the Question. in Lecture Notes in Computer Science (LNCS). https://doi.org/10.1007/978-3-030-50309-3_20

Conference contribution

McCarthy, A, Andriotis, P, Ghadafi, E & Legg, P 2021, Feature vulnerability and robustness assessment against adversarial machine learning attacks. in 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)., 9478199, IEEE, 2021 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, 14/06/21. https://doi.org/10.1109/CyberSA52016.2021.9478199

Andriotis, P & Takasu, A 2018, Emotional Bots: Content-based Spammer Detection on Social Media. in 2018 IEEE International Workshop on Information Forensics and Security (WIFS). pp. 1-8. https://doi.org/10.1109/WIFS.2018.8630760

Mariconti, E, Onwuzurike, L, Andriotis, P, Cristofaro, ED, Ross, GJ & Stringhini, G 2017, MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models. in 24th Network and Distributed System Security Symposium (NDSS 2017). pp. 1-15. https://doi.org/10.14722/ndss.2017.23353

Andriotis, P, Sasse, MA & Stringhini, G 2017, Permissions snapshots: Assessing users' adaptation to the Android runtime permission model. in 8th IEEE International Workshop on Information Forensics and Security, WIFS 2016. https://doi.org/10.1109/WIFS.2016.7823922

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