Konstantinos Demertzis
Konstantinos Demertzis
CTS, Hellenic Open University - Research Assistant, International Hellenic University
Потвърден имейл адрес: ac.eap.gr
Cyber threats to industrial IoT: a survey on attacks and countermeasures
K Tsiknas, D Taketzis, K Demertzis, C Skianis
IoT 2 (1), 163-186, 2021
Anomaly detection via blockchained deep learning smart contracts in industry 4.0
K Demertzis, L Iliadis, N Tziritas, P Kikiras
Neural Computing and Applications 32 (23), 17361-17378, 2020
HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens
I Bougoudis, K Demertzis, L Iliadis
Neural Computing and Applications, 1-16, 2015
ADvoCATE: a consent management platform for personal data processing in the IoT using blockchain technology
K Rantos, G Drosatos, K Demertzis, C Ilioudis, A Papanikolaou, A Kritsas
Innovative Security Solutions for Information Technology and Communications …, 2019
A spiking one-class anomaly detection framework for cyber-security on industrial control systems
K Demertzis, L Iliadis, S Spartalis
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Modeling and Forecasting the COVID-19 Temporal Spread in Greece: An Exploratory Approach Based on Complex Network Defined Splines
K Demertzis, D Tsiotas, L Magafas
Int. J. Environ. Res. Public Health 17 (4693), 2020
Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem.
K Rantos, G Drosatos, K Demertzis, C Ilioudis, A Papanikolaou
ICETE (2) 298, 572-577, 2018
A hybrid network anomaly and intrusion detection approach based on evolving spiking neural network classification
K Demertzis, L Iliadis
E-Democracy, Security, Privacy and Trust in a Digital World: 5th …, 2014
A bio-inspired hybrid artificial intelligence framework for cyber security
K Demertzis, L Iliadis
Computation, cryptography, and network security, 161-193, 2015
An innovative soft computing system for smart energy grids cybersecurity
K Demertzis, LS Iliadis, VD Anezakis
Advances in Building Energy Research 12 (1), 3-24, 2018
Adaptive elitist differential evolution extreme learning machines on big data: intelligent recognition of invasive species
K Demertzis, L Iliadis
Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data …, 2017
Darknet traffic big-data analysis and network management for real-time automating of the malicious intent detection process by a weight agnostic neural networks framework
K Demertzis, K Tsiknas, D Takezis, C Skianis, L Iliadis
Electronics 10 (7), 781, 2021
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network
K Demertzis, L Iliadis, I Bougoudis
Neural Computing and Applications 32 (9), 4303-4314, 2020
The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence
K Demertzis, P Kikiras, N Tziritas, L Sanchez, Salvador, L Iliadis
Big Data and Cognitive Computing — Open Access Journal 2 (35), 2018
Bio-inspired hybrid intelligent method for detecting android malware
K Demertzis, L Iliadis
Knowledge, Information and Creativity Support Systems: Selected Papers from …, 2016
The next generation cognitive security operations center: adaptive analytic lambda architecture for efficient defense against adversarial attacks
K Demertzis, N Tziritas, P Kikiras, SL Sanchez, L Iliadis
Big Data and Cognitive Computing 3 (1), 6, 2019
Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning
I Bougoudis, K Demertzis, L Iliadis
Integrated Computer-Aided Engineering 23 (2), 115-127, 2016
Extreme deep learning in biosecurity: the case of machine hearing for marine species identification
K Demertzis, LS Iliadis, VD Anezakis
Journal of Information and Telecommunication 2 (4), 492-510, 2018
Evolving smart URL filter in a zone-based policy firewall for detecting algorithmically generated malicious domains
K Demertzis, L Iliadis
Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015
Fuzzy cognitive maps for long-term prognosis of the evolution of atmospheric pollution, based on climate change scenarios: the case of Athens
VD Anezakis, K Dermetzis, L Iliadis, S Spartalis
Computational Collective Intelligence: 8th International Conference, ICCCI …, 2016
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