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 | 79 | 2021 |
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 | 79 | 2015 |
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 | 68 | 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 | 64 | 2020 |
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 | 62 | 2019 |
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 | 62 | 2014 |
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 | 61 | 2018 |
A bio-inspired hybrid artificial intelligence framework for cyber security K Demertzis, L Iliadis Computation, cryptography, and network security, 161-193, 2015 | 61 | 2015 |
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, 17361-17378, 2020 | 59 | 2020 |
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 | 54 | 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 | 54 | 2017 |
Bio-inspired hybrid intelligent method for detecting android malware K Demertzis, L Iliadis Knowledge, Information and Creativity Support Systems: Selected Papers from …, 2016 | 51 | 2016 |
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 | 48 | 2018 |
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 | 47 | 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 | 45 | 2016 |
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, 4303-4314, 2020 | 44 | 2020 |
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 | 42 | 2015 |
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 | 40 | 2018 |
Evolving Computational Intelligence System for Malware Detection K Demertzis, L Iliadis Advanced Information Systems Engineering Workshops 178 (Lecture Notes in …, 2014 | 39 | 2014 |
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 | 38 | 2016 |