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ORCIDMichal Choras
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- affiliation: University of Science and Technology (UTP), Bydgoszcz, Poland
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2020 – today
- 2024
[j75]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: 86487-86512 (2024)- [j74]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovation. Artif. Intell. Rev. 57(12): 330 (2024) - [j73]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: 103599 (2024) - [j72]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: 127759 (2024) - [j71]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: 128282 (2024) - [j70]Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case. Neurocomputing 608: 128450 (2024) - [j69]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: 121097 (2024) - [j68]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): 5219-5229 (2024) - [c156]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: 93:1-93:8 - [c155]Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Introducing a Multi-Perspective xAI Tool for Better Model Explainability. ARES 2024: 95:1-95:8 - [c154]Damian Puchalski, Marek Pawlicki, Rafal Kozik, Rafal Renk, Michal Choras:
Trustworthy AI-based Cyber-Attack Detector for Network Cyber Crime Forensics. ARES 2024: 97:1-97:8 - [c153]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: 44-55 - [c152]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: 70-81 - [c151]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: 384-395 - [c150]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: 244-255 - [c149]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: 130-139 - [c148]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
From Detection Through Display to Understanding: Bridging AI and UI in Disinformation and Fake News Analysis. ICCCI (CCIS Volume 1) 2024: 347-357 - [c147]Krzysztof Cabaj, Marcin Kowalczyk, Marcin Gregorczyk, Michal Choras, Rafal Kozik, Wojciech Mazurczyk:
Strategies to Use Harvesters in Trustworthy Fake News Detection Systems. ICCCI (CCIS Volume 1) 2024: 384-394 - [c146]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: 100-112 - [c145]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainability versus Security: The Unintended Consequences of xAI in Cybersecurity. SecTL@AsiaCCS 2024: 1-7 - [e10]Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas:
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14982, Springer 2024, ISBN 978-3-031-70878-7 [contents] - [e9]Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas:
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14983, Springer 2024, ISBN 978-3-031-70889-3 [contents] - [e8]Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas:
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14984, Springer 2024, ISBN 978-3-031-70895-4 [contents] - [e7]Joaquín García-Alfaro, Rafal Kozik, Michal Choras, Sokratis K. Katsikas:
Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14985, Springer 2024, ISBN 978-3-031-70902-9 [contents] - [e6]Ilsun You, Michal Choras, Seonghan Shin, Hwankuk Kim, Philip Virgil Astillo:
Mobile Internet Security - 7th International Conference, MobiSec 2023, Okinawa, Japan, December 19-21, 2023, Revised Selected Papers. Communications in Computer and Information Science 2095, Springer 2024, ISBN 978-981-97-4464-0 [contents] - 2023
- [j67]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) - [j66]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) - [j65]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) - [j64]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): 14721-14731 (2023) - [j63]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) - [j62]Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Deep Learning for Combating Misinformation in Multicategorical Text Contents. Sensors 23(24): 9666 (2023) - [j61]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) - [c144]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 - [c143]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 - [c142]Michal Choras, Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik:
How to Navigate the Uncharted Waters of Cyberwar. AMCIS 2023 - [c141]Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
How to Boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes. CISIM 2023: 283-297 - [c140]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 - [c139]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 - [c138]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: 45-53 - [c137]Marta Gackowska, Gracjan Katek, Mscislaw Srutek, Rafal Kozik, Michal Choras:
Document Annotation Tool for News Content Analysis. CORES/IP&C 2023: 211-217 - [c136]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 - [c135]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 - [c134]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: 1-9 - [c133]Rafal Kozik, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Model Stitching Algorithm for Fake News Detection Problem. DSAA 2023: 1-7 - [c132]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: 167-181 - [c131]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: 236-246 - [c130]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: 317-327 - [c129]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: 253-261 - [c128]Wiktor Kurek, Marek Pawlicki, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Explainable Artificial Intelligence 101: Techniques, Applications and Challenges. ICIC (4) 2023: 310-318 - [c127]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 - [c126]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: 197-208 - [c125]Aleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Wiktor Kurek, Michal Choras:
How Explainable Is Explainability? Towards Better Metrics for Explainable AI. RIIFORUM 2023: 685-695 - [e5]Robert Burduk, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Tomasz Marciniak, Pawel Trajdos:
Progress on Pattern Classification, Image Processing and Communications - Proceedings of the CORES and IP&C Conferences 2023, Wrocław, Poland. Lecture Notes in Networks and Systems 766, Springer 2023, ISBN 978-3-031-41629-3 [contents] - 2022
- [j60]Michal Choras, Michal Wozniak:
The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. AI Ethics 2(4): 631-634 (2022) - [j59]Michal Choras, Robert Burduk, Agata Gielczyk, Rafal Kozik, Tomasz Marciniak:
Advances in Computer Recognition, Image Processing and Communications. Entropy 24(1): 108 (2022) - [j58]Vibekananda Dutta, Marek Pawlicki, Rafal Kozik, Michal Choras:
Unsupervised network traffic anomaly detection with deep autoencoders. Log. J. IGPL 30(6): 912-925 (2022) - [j57]Rafal Kozik, Marek Pawlicki, Sebastian Kula, Michal Choras:
Fake news detection platform - conceptual architecture and prototype. Log. J. IGPL 30(6): 1005-1016 (2022) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]Sebastian Kula, Rafal Kozik, Michal Choras:
Implementation of the BERT-derived architectures to tackle disinformation challenges. Neural Comput. Appl. 34(23): 20449-20461 (2022) - [j50]Michal Choras, Rafal Kozik, Marek Pawlicki:
Sensors and Pattern Recognition Methods for Security and Industrial Applications. Sensors 22(16): 5968 (2022) - [c124]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 - [c123]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 - [c122]Marek Pawlicki, Rafal Kozik, Michal Choras:
Towards Deployment Shift Inhibition Through Transfer Learning in Network Intrusion Detection. ARES 2022: 58:1-58:6 - [c121]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 - [c120]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 - [c119]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 - [c118]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 - [c117]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 - [c116]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 - [c115]Rafal Kozik, Krzysztof Samp, Michal Choras, Marek Pawlicki:
Parameters Transfer Framework for Multi-domain Fake News Detection. MobiSec 2022: 85-96 - [c114]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 - [e4]Michal Choras, Ryszard S. Choras, Marek Kurzynski, Pawel Trajdos, Jerzy Pejas, Tomasz Hyla:
Progress in Image Processing, Pattern Recognition and Communication Systems - Proceedings of the Conference (CORES, IP&C, ACS), Virtual Event / Bydgoszcz, Poland, June 28-30, 2021. Lecture Notes in Networks and Systems 255, Springer 2022, ISBN 978-3-030-81522-6 [contents] - 2021
- [j49]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: 5371-5396 (2021) - [j48]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: 107050 (2021) - [j47]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: 107779 (2021) - [j46]Bartosz Cwiklinski, Agata Gielczyk, Michal Choras:
Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers. Entropy 23(1): 90 (2021) - [j45]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) - [j44]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): 28 (2021) - [j43]Michal Choras, Marek Pawlicki:
Intrusion detection approach based on optimised artificial neural network. Neurocomputing 452: 705-715 (2021) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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): 843-852 (2021) - [c113]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 - [c112]Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
Missing and Incomplete Data Handling in Cybersecurity Applications. ACIIDS 2021: 413-426 - [c111]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 - [c110]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: 210-218 - [c109]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 - [c108]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 - [c107]Mateusz Szczepanski, Michal Choras, Marek Pawlicki, Aleksandra Pawlicka:
The Methods and Approaches of Explainable Artificial Intelligence. ICCS (4) 2021: 3-17 - [c106]Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak:
Transformer Based Models in Fake News Detection. ICCS (4) 2021: 28-38 - [c105]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 - [c104]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 - [i2]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 abs/2101.01142 (2021) - 2020
- [j37]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) - [j36]Marek Pawlicki, Michal Choras, Rafal Kozik:
Defending network intrusion detection systems against adversarial evasion attacks. Future Gener. Comput. Syst. 110: 148-154 (2020) - [j35]Agata Gielczyk, Michal Choras:
Intelligent human-centred mobile authentication system based on palmprints. J. Intell. Fuzzy Syst. 39(6): 8217-8224 (2020) - [j34]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) - [j33]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) - [j32]Vibekananda Dutta, Michal Choras, Marek Pawlicki, Rafal Kozik:
Detection of Cyberattacks Traces in IoT Data. J. Univers. Comput. Sci. 26(11): 1422-1434 (2020) - [j31]