Contact

Email :
Phone number : +33 6 02 01 06 35

ResearchGate

Google Scholar

La Chantrerie - 1 avenue Augustin-Louis Cauchy
CS 10793 - 44307 Nantes

Research team

Engineering and Numerical Tools

Research themes

  • Confidentialité et sécurité des données dans les infrastructures intelligentes
  • Modélisation, conception et architecture des CPS
  • Gestion et décision : Planification, Ordonnancement dynamique et Pilotage

Educational activities

  • Disciplines : Informatics, Data Science, Research Methodology
  • Level : Engineering Cycle, Preparatory Cycle, Master

Background

  • PhD
    Democritus University of Thrace, 2015
    Department of Electrical and Computer Engineering “Personal data utilization and protection through algorithms and protocols for privacy-preserving electronic transactions”
  • Master of Science in Artificial Intelligence
    University of Edinburgh, 2006
    School of Informatics, College of Science and Engineering
  • Diploma in Informatics
    University of Piraeus, 2005
    Departement of Informatics

Research interest

  • Data Security and Privacy in Intelligent Infrastructures
  • Modeling, design and architecture of CPS
  • Management and decision-making: Planning, dynamic scheduling and control

Publications

Synthesis

  • ACL : 7
  • C-ACTI : 8
  • OS-CH :3

Selected publications

  • [1] Dzurenda P, Jacques F, Knockaert M, Laurent M, Malina L, Matulevicius R, Tang Q, and Tasidou A., 2022. Privacy-preserving solution for vehicle parking services complying with EU legislation. PeerJ Computer Science 8:e1165, doi: 10.7717/peerj-cs.1165
  • [2] Roascio, G., Costa, G., Baccelli, E., Malina, L., Matulevičius, R., Momeu, M., Morkevičius, N., Russo, E., Stojanović, B. and Tasidou, A., 2022. HArMoNICS: High-assurance microgrid network infrastructure case study. IEEE Access10, pp.115372-115383, doi: 10.1109/ACCESS.2022.3218412
  • [3] Knockaert, M, Laurent, M, Malina , L, Matulevicius, R, Petrocchi, M, Seeba, M, Tang, Q, Tasidou, A, and Tom, J, 2021. Privacy-by-Design in Intelligent Infrastructures. In Deep diving into data protection: 1979-2019 : celebrating 40 years of research on privacy data protection at the CRIDS. Collection du CRIDS, Numéro 51, Larcier , Bruxelles, p. 309-343.
  • [4] Bkakria, A., Cuppens, F., Boulahia Cuppens, N. and Tasidou, A., 2021. Information theoretic-based privacy risk evaluation for data anonymization. Journal of Surveillance, Security and Safety, 2, pp.83-102, doi: 10.20517/jsss.2020.20
  • [5] Tasidou, A., Efraimidis, P.S., 2021. Economics of Personal Data. In Encyclopedia of Cryptography, Security and Privacy. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-642-27739-9_1629-1
  • [6] Bkakria, A., Tasidou, A., Cuppens-Boulahia, N., Cuppens, F., Bouattour, F. and Ben Fredj, F., 2019. Optimal distribution of privacy budget in differential privacy. In Risks and Security of Internet and Systems: 13th International Conference, CRiSIS 2018, Arcachon, France, October 16–18, 2018, Revised Selected Papers 13 (pp. 222-236). Springer International Publishing, doi: 10.1007/978-3-030-12143-3_18
  • [7] Drosatos, G., Tasidou, A. and Efraimidis, P.S., 2017. Privacy-enhanced television audience measurements. ACM Transactions on Internet Technology (TOIT)17(1), pp.1-29, doi: 10.1145/3009969
  • [8] Tasidou, A., Efraimidis, P.S., Soupionis, Y., Mitrou, L. and Katos, V., 2016. Privacy-preserving, user-centric VoIP CAPTCHA challenges: An integrated solution in the SIP environment. Information & Computer Security24(1), pp.2-19, doi: 10.1108/ICS-07-2014-0046