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2020 – today
- 2023
[j51]Aleksandra Pawlicka
, Marek Pawlicki, Rafal Kozik, Michal Choras:
What Will the Future of Cybersecurity Bring Us, and Will It Be Ethical? The Hunt for the Black Swans of Cybersecurity Ethics. IEEE Access 11: 58796-58807 (2023)- [j50]Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak:
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120: 105882 (2023) - [j49]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT. Neurocomputing 551: 126533 (2023) - [j48]Aleksandra Pawlicka, Michal Choras, Rafal Kozik, Marek Pawlicki:
First broad and systematic horizon scanning campaign and study to detect societal and ethical dilemmas and emerging issues spanning over cybersecurity solutions. Pers. Ubiquitous Comput. 27(2): 193-202 (2023) - [j47]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection. Vietnam. J. Comput. Sci. 10(1): 1-23 (2023) - [c109]Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras:
Modern NetFlow network dataset with labeled attacks and detection methods. ARES 2023: 47:1-47:8 - [c108]Natan Orzechowski, Karol Rzepka, Przemyslaw Szary, Krzysztof Cabaj, Wojciech Mazurczyk, Helen C. Leligou, Marcin Przybyszewski, Rafal Kozik, Michal Choras:
Security Architecture in the SILVANUS project. ARES 2023: 49:1-49:9 - [c107]Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik:
How to Navigate the Uncharted Waters of Cyberwar. AMCIS 2023 - [c106]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM 2023: 283-297 - [c105]Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE 2023: 79-88 - [c104]Joanna Komorniczak, Szymon Wojciechowski, Jakub Klikowski, Rafal Kozik, Michal Choras:
Analysis of Extractive Text Summarization Methods as a Binary Classification Problem. CISIS-ICEUTE 2023: 91-100 - [c103]Michele Mastroianni, Francesco Palmieri, Massimo Ficco, Rafal Kozik, Michal Choras:
Privacy risk analysis and metrics in capturing and storing network traffic. CSCS 2023: 580-585 - [c102]Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras:
How to secure the IoT-based surveillance systems in an ELEGANT way. CSR 2023: 636-640 - [c101]Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) 2023: 310-318 - [c100]Marek Pawlicki, Rafal Kozik, Michal Choras:
Improving Siamese Neural Networks with Border Extraction Sampling for the use in Real-Time Network Intrusion Detection. IJCNN 2023: 1-8 - 2022
- [j46]Michal Choras, Robert Burduk, Agata Gielczyk, Rafal Kozik, Tomasz Marciniak:
Advances in Computer Recognition, Image Processing and Communications. Entropy 24(1): 108 (2022) - [j45]Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras:
Unsupervised network traffic anomaly detection with deep autoencoders. Log. J. IGPL 30(6): 912-925 (2022) - [j44]Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras:
Fake news detection platform - conceptual architecture and prototype. Log. J. IGPL 30(6): 1005-1016 (2022) - [j43]Marek Pawlicki, Rafal Kozik, Michal Choras:
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks. Neurocomputing 500: 1075-1087 (2022) - [j42]Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak:
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. IT Prof. 24(2): 25-31 (2022) - [j41]Rafal Kozik, Sebastian Kula, Michal Choras, Michal Wozniak:
Technical solution to counter potential crime: Text analysis to detect fake news and disinformation. J. Comput. Sci. 60: 101576 (2022) - [j40]Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras:
Hunting cyberattacks: experience from the real backbone network. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 13(2): 128-146 (2022) - [j39]Michal Choras, Robert Burduk, Rafal Kozik, Jörg Keller:
Advances and Practical Applications of Deep and Shallow Machine Learning. J. Univers. Comput. Sci. 28(3): 225-226 (2022) - [j38]Sebastian Kula, Rafal Kozik, Michal Choras:
Implementation of the BERT-derived architectures to tackle disinformation challenges. Neural Comput. Appl. 34(23): 20449-20461 (2022) - [j37]Michal Choras, Rafal Kozik, Marek Pawlicki:
Sensors and Pattern Recognition Methods for Security and Industrial Applications. Sensors 22(16): 5968 (2022) - [c99]Mikolaj Komisarek, Marek Pawlicki, Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Rafal Kozik, Michal Choras:
A novel, refined dataset for real-time Network Intrusion Detection. ARES 2022: 43:1-43:8 - [c98]Aleksandra Pawlicka, Marek Pawlicki, Rafal Renk, Rafal Kozik, Michal Choras:
The cybersecurity-related ethical issues of cloud technology and how to avoid them. ARES 2022: 56:1-56:7 - [c97]Marek Pawlicki, Rafal Kozik, Michal Choras:
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection. ARES 2022: 58:1-58:6 - [c96]Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. DSAA 2022: 1-10 - [c95]Marek Pawlicki, Rafal Kozik, Michal Choras:
Comparison of neural network paradigms for their usefulness in a real-world network intrusion detection deployment and a proposed optimised approach. EICC 2022: 53-56 - [c94]Marek Pawlicki, Martin Zádník, Rafal Kozik, Michal Choras:
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques. ICAISC (1) 2022: 82-92 - [c93]Rafal Kozik, Marek Pawlicki, Mateusz Szczepanski, Rafal Renk, Michal Choras:
Efficient Post Event Analysis and Cyber Incident Response in IoT and E-commerce Through Innovative Graphs and Cyberthreat Intelligence Employment. ICIC (3) 2022: 257-266 - [c92]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Graph Databases and E-commerce Cybersecurity - a Match Made in Heaven? The Innovative Technology to Enhance Cyberthreat Mitigation. ISD 2022 - [c91]Marek Pawlicki, Aleksandra Pawlicka, Mikolaj Komisarek, Rafal Kozik, Michal Choras:
The IoT Threat Landscape vs. Machine Learning, a.k.a. Who Attacks IoT, Why Do They Do It, and How to Prevent It? ISD 2022 - [c90]Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki:
Parameters Transfer Framework for Multi-domain Fake News Detection. MobiSec 2022: 85-96 - [c89]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras:
Fake News and Threats to IoT - The Crucial Aspects of Cyberspace in the Times of Cyberwar. RIIFORUM 2022: 31-38 - 2021
- [j36]Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras:
How to Effectively Collect and Process Network Data for Intrusion Detection? Entropy 23(11): 1532 (2021) - [j35]Kim Mathiassen, Frank E. Schneider, Paul Bounker, Alexander Tiderko, Geert De Cubber, Magnus Baksaas, Jakub Glówka, Rafal Kozik, Thomas Nussbaumer, Juha Röning, Johannes Pellenz, André Volk:
Demonstrating interoperability between unmanned ground systems and command and control systems. Int. J. Intell. Def. Support Syst. 6(2): 100-129 (2021) - [j34]Sebastian Laskawiec, Michal Choras, Rafal Kozik, Vijayakumar Varadarajan:
Intelligent operator: Machine learning based decision support and explainer for human operators and service providers in the fog, cloud and edge networks. J. Inf. Secur. Appl. 56: 102685 (2021) - [j33]Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras:
Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12(1): 3-19 (2021) - [j32]Francisco J. Pérez, Victor Garrido, Alberto García, Marcelo Zambrano, Rafal Kozik, Michal Choras, Dirk Mühlenberg, Dirk Pallmer, Wilmuth Müller:
Multimedia analysis platform for crime prevention and investigation. Multim. Tools Appl. 80(15): 23681-23700 (2021) - [j31]Rafal Kozik, Marek Pawlicki, Michal Choras:
A new method of hybrid time window embedding with transformer-based traffic data classification in IoT-networked environment. Pattern Anal. Appl. 24(4): 1441-1449 (2021) - [j30]Maria-Elena Mihailescu, Darius Mihai, Mihai Carabas, Mikolaj Komisarek, Marek Pawlicki, Witold Holubowicz, Rafal Kozik:
The Proposition and Evaluation of the RoEduNet-SIMARGL2021 Network Intrusion Detection Dataset. Sensors 21(13): 4319 (2021) - [j29]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Ryszard S. Choras:
A Systematic Review of Recommender Systems and Their Applications in Cybersecurity. Sensors 21(15): 5248 (2021) - [c88]Mikolaj Komisarek, Marek Pawlicki, Mikolaj Kowalski, Adrian Marzecki, Rafal Kozik, Michal Choras:
Network Intrusion Detection in the Wild - the Orange use case in the SIMARGL project. ARES 2021: 65:1-65:7 - [c87]Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
Missing and Incomplete Data Handling in Cybersecurity Applications. ACIIDS 2021: 413-426 - [c86]Aleksandra Pawlicka, Michal Choras, Marcin Przybyszewski, Laurent Belmon, Rafal Kozik, Konstantinos P. Demestichas:
Why Do Law Enforcement Agencies Need AI for Analyzing Big Data? CISIM 2021: 331-342 - [c85]Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras:
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. CORES/IP&C/ACS 2021: 230-239 - [c84]Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Extending Machine Learning-Based Intrusion Detection with the Imputation Method. CORES/IP&C/ACS 2021: 284-292 - [c83]Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak:
Transformer Based Models in Fake News Detection. ICCS (4) 2021: 28-38 - [c82]Mateusz Szczepanski, Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Michal Choras:
The Proposition of Balanced and Explainable Surrogate Method for Network Intrusion Detection in Streamed Real Difficult Data. ICCCI (CCIS Volume) 2021: 241-252 - [c81]Marek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras:
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. ICIC (3) 2021: 24-31 - 2020
- [j28]Michal Choras, Tomasz Springer, Rafal Kozik, Lidia López, Silverio Martínez-Fernández, Prabhat Ram, Pilar Rodríguez, Xavier Franch:
Measuring and Improving Agile Processes in a Small-Size Software Development Company. IEEE Access 8: 78452-78466 (2020) - [j27]Marek Pawlicki, Michal Choras, Rafal Kozik:
Defending network intrusion detection systems against adversarial evasion attacks. Future Gener. Comput. Syst. 110: 148-154 (2020) - [j26]Michal Choras, Salvatore D'Antonio, Jörg Keller, Rafal Kozik:
Practical Applications of Data Analysis, Classification and Anomaly Detection. J. Univers. Comput. Sci. 26(4): 432-433 (2020) - [j25]Michal Choras, Salvatore D'Antonio, Jörg Keller, Rafal Kozik:
Progress in Features, Data, Patterns and Similarity Analysis. J. Univers. Comput. Sci. 26(6): 647-648 (2020) - [j24]Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik:
Detection of Cyberattacks Traces in IoT Data. J. Univers. Comput. Sci. 26(11): 1422-1434 (2020) - [j23]Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik:
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection. Sensors 20(16): 4583 (2020) - [j22]Marc Oriol, Silverio Martínez-Fernández, Woubshet Behutiye, Carles Farré, Rafal Kozik, Pertti Seppänen, Anna Maria Vollmer, Pilar Rodríguez, Xavier Franch, Sanja Aaramaa, Antonin Abhervé, Michal Choras, Jari Partanen:
Data-driven and tool-supported elicitation of quality requirements in agile companies. Softw. Qual. J. 28(3): 931-963 (2020) - [j21]Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure:
Common Representational Model and Ontologies for Effective Law Enforcement Solutions. Vietnam. J. Comput. Sci. 7(1): 1-18 (2020) - [c80]Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki:
Real-time stream processing tool for detecting suspicious network patterns using machine learning. ARES 2020: 60:1-60:7 - [c79]Damian Puchalski, Luca Caviglione, Rafal Kozik, Adrian Marzecki, Slawomir Krawczyk, Michal Choras:
Stegomalware detection through structural analysis of media files. ARES 2020: 73:1-73:6 - [c78]Rafal Kozik, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka, Wojciech Warczak, Grzegorz Mazgaj:
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation. CISIS 2020: 174-183 - [c77]Rafal Kozik, Michal Choras, Sebastian Kula, Marek Pawlicki:
Distributed Architecture for Fake News Detection. CISIS 2020: 208-217 - [c76]Sebastian Kula, Michal Choras, Rafal Kozik:
Application of the BERT-Based Architecture in Fake News Detection. CISIS 2020: 239-249 - [c75]Vibekananda Dutta, Michal Choras, Rafal Kozik, Marek Pawlicki:
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection. CISIS 2020: 405-414 - [c74]Prabhat Ram, Pilar Rodríguez, Markku Oivo, Silverio Martínez-Fernández, Alessandra Bagnato, Michal Choras, Rafal Kozik, Sanja Aaramaa, Milla Ahola:
Actionable Software Metrics: An Industrial Perspective. EASE 2020: 240-249 - [c73]Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
On the Impact of Network Data Balancing in Cybersecurity Applications. ICCS (4) 2020: 196-210 - [c72]Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik:
Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness? ICCS (4) 2020: 615-628 - [c71]Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak:
Sentiment Analysis for Fake News Detection by Means of Neural Networks. ICCS (4) 2020: 653-666 - [c70]Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak:
Fake News Detection from Data Streams. IJCNN 2020: 1-8 - [c69]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Rafal Kozik:
Achieving Explainability of Intrusion Detection System by Hybrid Oracle-Explainer Approach. IJCNN 2020: 1-8 - [c68]Prabhat Ram, Pilar Rodríguez, Markku Oivo, Alessandra Bagnato, Antonin Abherve, Michal Choras, Rafal Kozik:
An Empirical Investigation into Industrial Use of Software Metrics Programs. PROFES 2020: 419-433
2010 – 2019
- 2019
- [j20]Sebastian Laskawiec, Michal Choras, Rafal Kozik:
New solutions for exposing clustered applications deployed in the cloud. Clust. Comput. 22(3): 829-838 (2019) - [j19]Rafal Kozik, Marek Pawlicki, Michal Choras, Witold Pedrycz:
Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection. Complex. 2019: 5826737:1-5826737:9 (2019) - [j18]Michal Choras, Rafal Kozik, Damian Puchalski, Rafal Renk:
Increasing product owners' cognition and decision-making capabilities by data analysis approach. Cogn. Technol. Work. 21(2): 191-200 (2019) - [j17]Rafal Kozik, Michal Choras:
Protecting the application layer in the public domain with machine learning methods. Log. J. IGPL 27(2): 149-159 (2019) - [j16]Rafal Kozik, Michal Choras, Damian Puchalski, Rafal Renk:
Q-Rapids framework for advanced data analysis to improve rapid software development. J. Ambient Intell. Humaniz. Comput. 10(5): 1927-1936 (2019) - [j15]Rafal Kozik, Michal Choras, Jörg Keller:
Balanced Efficient Lifelong Learning (B-ELLA) for Cyber Attack Detection. J. Univers. Comput. Sci. 25(1): 2-15 (2019) - [j14]Jörg Keller, Manuel Graña, Rafal Kozik, Tomasz Andrysiak, Michal Choras:
Recent Advances, Emerging Methods and Applications of Pattern Recognition. J. Univers. Comput. Sci. 25(6): 569-570 (2019) - [j13]Agata Gielczyk, Michal Choras, Rafal Kozik:
Lightweight Verification Schema for Image-Based Palmprint Biometric Systems. Mob. Inf. Syst. 2019: 2325891:1-2325891:9 (2019) - [c67]Michal Choras, Marek Pawlicki, Rafal Kozik, Konstantinos P. Demestichas, Pavlos Kosmides, Manik Gupta:
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. ARES 2019: 68:1-68:10 - [c66]Michal Choras, Rafal Kozik, Marek Pawlicki, Witold Holubowicz, Xavier Franch:
Software Development Metrics Prediction Using Time Series Methods. CISIM 2019: 311-323 - [c65]Marek Pawlicki, Agata Gielczyk, Rafal Kozik, Michal Choras:
Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing. CORES 2019: 130-140 - [c64]Michal Choras, Marek Pawlicki, Rafal Kozik:
Recognizing Faults in Software Related Difficult Data. ICCS (3) 2019: 263-272 - [c63]Rafal Kozik, Michal Choras, Marek Pawlicki, Witold Holubowicz, Dirk Pallmer, Wilmuth Müller, Ernst-Josef Behmer, Ioannis V. Loumiotis, Konstantinos P. Demestichas, Roxana Horincar, Claire Laudy, David Faure:
The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case. ICCCI (2) 2019: 335-345 - [c62]Marek Pawlicki, Rafal Kozik, Michal Choras:
Artificial Neural Network Hyperparameter Optimisation for Network Intrusion Detection. ICIC (1) 2019: 749-760 - [c61]Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak:
Machine Learning Methods for Fake News Classification. IDEAL (2) 2019: 332-339 - [c60]Michal Choras, Marek Pawlicki, Rafal Kozik:
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain. IDEAL (2) 2019: 353-360 - [c59]Agata Gielczyk, Michal Choras, Rafal Kozik:
The mobile palmprint-based verification based on three-value masks. HPCS 2019: 909-914 - [c58]Marek Pawlicki, Adam Marchewka, Michal Choras, Rafal Kozik:
Gated Recurrent Units for Intrusion Detection. IP&C 2019: 142-148 - [c57]Agata Gielczyk, Karolina Dembinska, Michal Choras, Rafal Kozik:
Towards Mobile Palmprint Biometric System with the New Palmprint Database. IP&C 2019: 149-157 - [c56]Marc Oriol, Pertti Seppänen, Woubshet Behutiye, Carles Farré, Rafal Kozik, Silverio Martínez-Fernández, Pilar Rodríguez, Xavier Franch, Sanja Aaramaa, Antonin Abhervé, Michal Choras, Jari Partanen:
Data-Driven Elicitation of Quality Requirements in Agile Companies. QUATIC 2019: 49-63 - 2018
- [j12]Rafal Kozik, Michal Choras, Massimo Ficco, Francesco Palmieri:
A scalable distributed machine learning approach for attack detection in edge computing environments. J. Parallel Distributed Comput. 119: 18-26 (2018) - [j11]Rafal Kozik:
Distributing extreme learning machines with Apache Spark for NetFlow-based malware activity detection. Pattern Recognit. Lett. 101: 14-20 (2018) - [j10]Rafal Kozik, Marek Pawlicki, Michal Choras:
Cost-Sensitive Distributed Machine Learning for NetFlow-Based Botnet Activity Detection. Secur. Commun. Networks 2018: 8753870:1-8753870:8 (2018) - [c55]Marek Pawlicki, Michal Choras, Rafal Kozik:
Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain. ARES 2018: 61:1-61:6 - [c54]Lidia López, Silverio Martínez-Fernández, Cristina Gómez, Michal Choras, Rafal Kozik, Liliana Guzmán, Anna Maria Vollmer, Xavier Franch, Andreas Jedlitschka:
Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development. CAiSE Forum 2018: 200-208 - [c53]Michal Choras, Agata Gielczyk, Konstantinos P. Demestichas, Damian Puchalski, Rafal Kozik:
Pattern Recognition Solutions for Fake News Detection. CISIM 2018: 130-139 - [c52]Rafal Kozik, Michal Choras, Damian Puchalski, Rafal Renk:
Platform for Software Quality and Dependability Data Analysis. DepCoS-RELCOMEX 2018: 306-315 - [c51]Agata Gielczyk, Michal Choras, Rafal Kozik:
Hybrid Feature Extraction for Palmprint-Based User Authentication. HPCS 2018: 629-633 - [c50]Rafal Kozik, Marek Pawlicki, Michal Choras:
Sparse Autoencoders for Unsupervised Netflow Data Classification. IP&C 2018: 192-199 - [c49]Sebastian Laskawiec, Michal Choras, Rafal Kozik:
Switching Network Protocols to Improve Communication Performance in Public Clouds. IP&C 2018: 224-236 - [c48]Monika Büscher, Catherine Easton, Xaroula Charalampia Kerasidou, Maria Alejandra Lujan Escalante, Hayley Alter, Katrina Petersen, Marie-Christine Bonnamour, David Lund, Andreas Baur, Regina Ammicht Quinn, Jessica Heesen, Lina Jasmontaite, Gloria González Fuster, Alexander Boden, Britta Hofmann, Anna Stachowicz, Michal Choras, Rafal Kozik, Kees Boersma, Martina Comes, Nicole Föger:
The Is-IT-ethical? Responsible Research and Innovation for Disaster Risk Management. ISCRAM 2018 - 2017
- [j9]Rafal Kozik, Michal Choras, Witold Holubowicz:
Packets tokenization methods for web layer cyber security. Log. J. IGPL 25(1): 103-113 (2017) - [j8]Massimo Ficco, Michal Choras, Rafal Kozik:
Simulation platform for cyber-security and vulnerability analysis of critical infrastructures. J. Comput. Sci. 22: 179-186 (2017) - [j7]Rafal Kozik, Michal Choras:
Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. Secur. Commun. Networks 2017: 6047053:1-6047053:10 (2017) - [c47]Rafal Kozik, Robert Mlodzikowski, Michal Choras:
Netflow-Based Malware Detection and Data Visualisation System. CISIM 2017: 652-660 - [c46]Agata Wojciechowska, Michal Choras, Rafal Kozik:
Recent Advances in Image Pre-processing Methods for Palmprint Biometrics. CORES 2017: 268-275 - [c45]