Contact
Email :
atasidou[at]cesi.fr
Phone number : +33 6 02 01 06 35
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 Access, 10, 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 Security, 24(1), pp.2-19, doi: 10.1108/ICS-07-2014-0046