Georgios Spanos
Georgios Spanos
Postdoctoral Research Fellow at the Information Technologies Institute, CERTH
Verifisert e-postadresse på iti.gr - Startside
Sitert av
Sitert av
The impact of information security events to the stock market: A systematic literature review
G Spanos, L Angelis
Computers & Security 58, 216-229, 2016
WIVSS: a new methodology for scoring information systems vulnerabilities
G Spanos, A Sioziou, L Angelis
Proceedings of the 17th panhellenic conference on informatics, 83-90, 2013
A multi-target approach to estimate software vulnerability characteristics and severity scores
G Spanos, L Angelis
Journal of Systems and Software 146, 152-166, 2018
Assessment of vulnerability severity using text mining
G Spanos, L Angelis, D Toloudis
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 1-6, 2017
Impact metrics of security vulnerabilities: Analysis and weighing
G Spanos, L Angelis
Information Security Journal: A Global Perspective 24 (1-3), 57-71, 2015
Combining statistical and machine learning techniques in IoT anomaly detection for smart homes
G Spanos, KM Giannoutakis, K Votis, D Tzovaras
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design …, 2019
Associating the severity of vulnerabilities with their description
D Toloudis, G Spanos, L Angelis
Advanced Information Systems Engineering Workshops: CAiSE 2016 International …, 2016
Analyzing measurements of the R statistical open source software
S Voulgaropoulou, G Spanos, L Angelis
2012 35th Annual IEEE Software Engineering Workshop, 1-10, 2012
A lightweight cyber-security defense framework for smart homes
G Spanos, KM Giannoutakis, K Votis, B Viaño, J Augusto-Gonzalez, ...
2020 International Conference on INnovations in Intelligent SysTems and …, 2020
IoT-based prediction models in the environmental context: A systematic Literature Review
S Polymeni, E Athanasakis, G Spanos, K Votis, D Tzovaras
Internet of Things, 100612, 2022
A RAkEL-based methodology to estimate software vulnerability characteristics & score-an application to EU project ECHO
G Aivatoglou, M Anastasiadis, G Spanos, A Voulgaridis, K Votis, ...
Multimedia Tools and Applications 81 (7), 9459-9479, 2022
Is the Market Value of Software Vendors Affected by Software Vulnerability Announcements?
G Spanos, L Angelis, K Kosmidou
Strategic Innovative Marketing: 5th IC-SIM, Athens, Greece 2016, 465-469, 2017
Deep learning techniques for stock market prediction in the European union: a systematic review
AP Ketsetsis, C Kourounis, G Spanos, KM Giannoutakis, P Pavlidis, ...
2020 International Conference on Computational Science and Computational …, 2020
A tree-based machine learning methodology to automatically classify software vulnerabilities
G Aivatoglou, M Anastasiadis, G Spanos, A Voulgaridis, K Votis, ...
2021 IEEE International Conference on Cyber Security and Resilience (CSR …, 2021
A novel cybersecurity architecture for iov communication
A Sersemis, A Papadopoulos, G Spanos, A Lalas, K Votis, D Tzovaras
25th Pan-Hellenic Conference on Informatics, 357-361, 2021
A comparative study of deep learning techniques for financial indices prediction
AP Ketsetsis, KM Giannoutakis, G Spanos, N Samaras, ...
Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021
A controlled experiment investigation of understandability and correctness on two query languages for XML data
E Keramopouloss, I Deligiannis, G Spanos, A Pliakas, K Tsekos
International journal of Web engineering and technology 8 (1), 81-101, 2013
Estimated Time of Arrival in Autonomous Vehicles Using Gradient Boosting: Real-life case study in public transportation
E Antypas, G Spanos, A Lalas, K Votis, D Tzovaras
2022 IEEE International Smart Cities Conference (ISC2), 1-7, 2022
Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management
M Anastasiadis, G Aivatoglou, G Spanos, A Voulgaridis, K Votis
2022 IEEE International Conference on Cyber Security and Resilience (CSR …, 2022
Shallow Neural Networks beat Deep Neural Networks trained with transfer learning: A Use Case based on training Neural Networks to identify Covid-19 in chest X-ray images
D Manolakis, G Spanos, I Refanidis
25th Pan-Hellenic Conference on Informatics, 58-62, 2021
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Artikler 1–20