Georgios Spathoulas, EDIP
FieldComputer networks security
Research InterestsComputer networks security, intrusion detection, privacy preserving techniques, homomorphic encryption, blockchain, decentralized applications
Telephone number+30 22310 66926
Personal webpage
Contact with studentsTuesday 12:00-14:00, Wednesday 12:00-14:00
Curriculum vitae

Dr. Georgios Spathoulas holds a Diploma of Electrical and Computer Engineering from Aristotle University of Thessaloniki since 2002, an Msc in Computer Science from University of Edinburgh since 2005 and a Phd from the Department of Digital Systems of University of Piraeus sine 2013. He is a member of Laboratory Teaching Staff of the Department of Computer Science and Biomedical Informatics of University of Thessaly since 2014 and he teaches in both undergraduate and postgraduate study programs of the Department. His research interests are related to network security, privacy preserving techniques and blockchain technology. He is the co-author of 15 publications in peer reviewed journals and conference proceedings. He has also served as Program Committee member in international conferences and he has taken part in both national and international research programs.

System Analysis (6ΕΠ06), Computer Systems Security (8ΕΠ14), Operating Systems (4ΚΠ03), Προχωρημένος Προγραμματισμός (3ΚΠ07)
Selected publications
  • Chamatidis Ilias, Katsika Aggeliki and Spathoulas Georgios. "Using deep learning neural networks for ECG based authentication." 2017 International Carnahan Conference on Security Technology (ICCST), Madrid, Spain, 2017, pp. 1-6.
  • Georgios P. Spathoulas, Sokratis K. Katsikas, Methods for post-processing alerts in intrusion detection : A survey , International Journal of Information Security Science, 2(2), 64-80.
  • Georgios P. Spathoulas, Sokratis K. Katsikas, "Enhancing IDS performance through comprehensive alert post-processing", Computers & Security, Volume 37, September 2013, Pages 176-196, ISSN 0167-4048
  • Spathoulas, G.P., Katsikas, S.K., "Reducing false positives in intrusion detection systems" (2010) Computers & Security, 29 (1), pp. 35-44.