Michal Choras

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 166

Top Venues

ARES

IP&C

CISIM

J. Univers. Comput. Sci.

Publications

Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors. ACR (2024)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
An Innovative Approach to Real-Time Concept Drift Detection in Network Security. EIDWT (2024)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
Comparative Analysis of AI-Based Methods for Enhancing Cybersecurity Monitoring Systems. ICCSA (Workshops 2) (2024)
Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D'Antonio, Rafal Kozik, Michal Choras
Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination. Neurocomputing 602 (2024)
Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Introducing a Multi-Perspective xAI Tool for Better Model Explainability. ARES (2024)
Rafal Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michal Choras
When explainability turns into a threat - using xAI to fool a fake news detection method. Comput. Secur. 137 (2024)
Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. ACIIDS (2) (2024)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. SecTL@AsiaCCS (2024)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. Neurocomputing 590 (2024)
Rafal Kozik, Damian Puchalski, Aleksandra Pawlicka, Szymon Bus, Jakub Glówka, Krishna Chandramouli, Marco Tiemann, Marek Pawlicki, Rafal Renk, Michal Choras
ULTIMATE Project Toolkit for Robotic AI-Based Data Analysis and Visualization. ACIIDS (2) (2024)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
A Novel Approach to the Use of Explainability to Mine Network Intrusion Detection Rules. ACIIDS (1) (2024)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras, Wojciech Mazurczyk, Krzysztof Cabaj
A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods. IEEE Trans. Comput. Soc. Syst. 11 (4) (2024)
Pertti Karhapää, Woubshet Behutiye, Pertti Seppänen, Pilar Rodríguez, Markku Oivo, Xavier Franch, Silverio Martínez-Fernández, Lidia López, Michal Choras, Alessandra Bagnato, Sanja Aaramaa, Jari Partanen
Evidence-Based Quality-Aware Agile Software Development Process: Design and Evaluation. IEEE Access 12 (2024)
Damian Puchalski, Marek Pawlicki, Rafal Kozik, Rafal Renk, Michal Choras
Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics. ARES (2024)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Agnieszka Andrychowicz-Trojanowska, Michal Choras
AI vs linguistic-based human judgement: Bridging the gap in pursuit of truth for fake news detection. Inf. Sci. 679 (2024)
Mikolaj Komisarek, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Aleksandra Pawlicka, Michal Choras
Enhancing Network Security Through Granular Computing: A Clustering-by-Time Approach to NetFlow Traffic Analysis. ARES (2024)
Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Model Stitching Algorithm for Fake News Detection Problem. DSAA (2023)
Aleksandra Pawlicka, Damian Puchalski, Marek Pawlicki, Rafal Kozik, Michal Choras
How to secure the IoT-based surveillance systems in an ELEGANT way. CSR (2023)
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) (2023)
Mikolaj Komisarek, Marek Pawlicki, Tomi Simic, David Kavcnik, Rafal Kozik, Michal Choras
Modern NetFlow network dataset with labeled attacks and detection methods. ARES (2023)
Joanna Komorniczak, Szymon Wojciechowski, Jakub Klikowski, Rafal Kozik, Michal Choras
Analysis of Extractive Text Summarization Methods as a Binary Classification Problem. CISIS-ICEUTE (2023)
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 (2023)
Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak
as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120 (2023)
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)
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors 23 (24) (2023)
Michele Mastroianni, Francesco Palmieri, Massimo Ficco, Rafal Kozik, Michal Choras
Privacy risk analysis and metrics in capturing and storing network traffic. CSCS (2023)
Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik
How to Navigate the Uncharted Waters of Cyberwar. AMCIS (2023)
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) (2023)
Aleksandra Pawlicka, Renata Tomaszewska, Ewa Krause, Dagmara Jaroszewska-Choras, Marek Pawlicki, Michal Choras
Has the pandemic made us more digitally literate?: Innovative association rule mining study of the relationships between shifts in digital skills and cybersecurity awareness occurring whilst working remotely during the COVID-19 pandemic. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) (2023)
Federica Uccello, Marek Pawlicki, Salvatore D'Antonio, Rafal Kozik, Michal Choras
Effective Rules for a Rule-Based SIEM System in Detecting DoS Attacks: An Association Rule Mining Approach. ICAI (2) (2023)
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE (2023)
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)
Marek Pawlicki, Rafal Kozik, Michal Choras
The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks. MobiSec (2023)
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 (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse. ICAI (1) (2023)
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. DSAA (2023)
Marek Pawlicki, Aleksandra Pawlicka, Mscislaw Srutek, Rafal Kozik, Michal Choras
Interpreting Intrusions - The Role of Explainability in AI-Based Intrusion Detection Systems. CORES/IP&C (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras
The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection Systems. ICDM (Workshops) (2023)
Marta Gackowska, Gracjan Katek, Mscislaw Srutek, Rafal Kozik, Michal Choras
Document Annotation Tool for News Content Analysis. CORES/IP&C (2023)
Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras
How Explainable Is Explainability? Towards Better Metrics for Explainable AI. RIIFORUM (2023)
Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM (2023)
Michal Choras, Aleksandra Pawlicka, Dagmara Jaroszewska-Choras, Marek Pawlicki
Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce. ESORICS Workshops (1) (2023)
Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras
Unsupervised network traffic anomaly detection with deep autoencoders. Log. J. IGPL 30 (6) (2022)
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)
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)
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) (2022)
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)
Michal Choras, Rafal Kozik, Marek Pawlicki
Sensors and Pattern Recognition Methods for Security and Industrial Applications. Sensors 22 (16) (2022)
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)
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)
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) (2022)
Michal Choras, Robert Burduk, Rafal Kozik, Jörg Keller
Advances and Practical Applications of Deep and Shallow Machine Learning. J. Univers. Comput. Sci. 28 (3) (2022)
Michal Choras, Robert Burduk, Agata Gielczyk, Rafal Kozik, Tomasz Marciniak
Advances in Computer Recognition, Image Processing and Communications. Entropy 24 (1) (2022)
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)
Sebastian Kula, Rafal Kozik, Michal Choras
Implementation of the BERT-derived architectures to tackle disinformation challenges. Neural Comput. Appl. 34 (23) (2022)
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)
Michal Choras, Michal Wozniak
The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. AI Ethics 2 (4) (2022)
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)
Marek Pawlicki, Rafal Kozik, Michal Choras
A survey on neural networks for (cyber-) security and (cyber-) security of neural networks. Neurocomputing 500 (2022)
Mateusz Szczepanski, Marek Pawlicki, Rafal Kozik, Michal Choras
Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees. DSAA (2022)
Marek Pawlicki, Rafal Kozik, Michal Choras
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection. ARES (2022)
Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras
Fake news detection platform - conceptual architecture and prototype. Log. J. IGPL 30 (6) (2022)
Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki
Parameters Transfer Framework for Multi-domain Fake News Detection. MobiSec (2022)
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 (2022)
Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak
Transformer Based Models in Fake News Detection. ICCS (4) (2021)
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)
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) (2021)
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) (2021)
Marek Pawlicki, Rafal Kozik, Damian Puchalski, Michal Choras
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. ICIC (3) (2021)
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
The stray sheep of cyberspace a.k.a. the actors who claim they break the law for the greater good. Pers. Ubiquitous Comput. 25 (5) (2021)
Marcin Kuchczynski, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter. CORES/IP&C/ACS (2021)
Luca Caviglione, Michal Choras, Igino Corona, Artur Janicki, Wojciech Mazurczyk, Marek Pawlicki, Katarzyna Wasielewska
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection. IEEE Access 9 (2021)
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
Missing and Incomplete Data Handling in Cybersecurity Applications. ACIIDS (2021)
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)
Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) (2021)
Michal Choras, Konstantinos P. Demestichas, Álvaro Herrero, Michal Wozniak
Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. Appl. Soft Comput. 110 (2021)
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)
Michal Choras, Marek Pawlicki
Intrusion detection approach based on optimised artificial neural network. Neurocomputing 452 (2021)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. CoRR (2021)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Appl. Soft Comput. 101 (2021)
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)
Bartosz Cwiklinski, Agata Gielczyk, Michal Choras
Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers. Entropy 23 (1) (2021)
Pawel Zyblewski, Marek Pawlicki, Rafal Kozik, Michal Choras
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams. CORES/IP&C/ACS (2021)
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) (2021)
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 (2021)
Pertti Karhapää, Woubshet Behutiye, Pilar Rodríguez, Markku Oivo, Dolors Costal, Xavier Franch, Sanja Aaramaa, Michal Choras, Jari Partanen, Antonin Abherve
Strategies to manage quality requirements in agile software development: a multiple case study. Empir. Softw. Eng. 26 (2) (2021)
Mikolaj Komisarek, Marek Pawlicki, Rafal Kozik, Witold Holubowicz, Michal Choras
How to Effectively Collect and Process Network Data for Intrusion Detection? Entropy 23 (11) (2021)
Aleksandra Pawlicka, Michal Choras, Marek Pawlicki
Cyberspace threats: not only hackers and criminals. Raising the awareness of selected unusual cyberspace actors - cybersecurity researchers' perspective. ARES (2020)
Michal Choras, Salvatore D'Antonio, Jörg Keller, Rafal Kozik
Progress in Features, Data, Patterns and Similarity Analysis. J. Univers. Comput. Sci. 26 (6) (2020)
Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz
On the Impact of Network Data Balancing in Cybersecurity Applications. ICCS (4) (2020)
Vibekananda Dutta, Michal Choras, Rafal Kozik, Marek Pawlicki
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection. CISIS (2020)
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)
Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik
Detection of Cyberattacks Traces in IoT Data. J. Univers. Comput. Sci. 26 (11) (2020)
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 (2020)
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)
Mikolaj Komisarek, Michal Choras, Rafal Kozik, Marek Pawlicki
Real-time stream processing tool for detecting suspicious network patterns using machine learning. ARES (2020)
Rafal Kozik, Michal Choras, Sebastian Kula, Marek Pawlicki
Distributed Architecture for Fake News Detection. CISIS (2020)
Agata Gielczyk, Michal Choras
Intelligent human-centred mobile authentication system based on palmprints. J. Intell. Fuzzy Syst. 39 (6) (2020)
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) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michal Choras