Martin Macák

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 26

Top Topics

Electron Microscopy

Literature Review

Top Venues

Publications

Pavla Sabacká, Jirí Maxa, Robert Bayer, Tomás Binar, Petr Baca, Petra Dostálová, Martin Macák, Pavel Cudek
Comparative Analysis of Supersonic Flow in Atmospheric and Low Pressure in the Region of Shock Waves Creation for Electron Microscopy. Sensors 23 (24) (2023)
Martin Macák, Radek Oslejsek, Barbora Buhnova
Detecting Masquerading Traitors from Process Visualization of Computer Usage. TrustCom (2023)
Martin Macák, Tomás Rebok, Matus Stovcik, Mouzhi Ge, Bruno Rossi, Barbora Buhnova
CopAS: A Big Data Forensic Analytics System. IoTBDS (2023)
Lukas Daubner, Martin Macák, Raimundas Matulevicius, Barbora Buhnova, Sofija Maksovic, Tomás Pitner
Addressing insider attacks via forensic-ready risk management. J. Inf. Secur. Appl. 73 (2023)
Martin Macák, Radek Oslejsek, Barbora Buhnova
Applying Process Discovery to Cybersecurity Training: An Experience Report. EuroS&P Workshops (2022)
Martin Macák, Radek Oslejsek, Barbora Buhnova
Process Mining Analysis of Puzzle-Based Cybersecurity Training. CoRR (2022)
Lukas Daubner, Martin Macák, Raimundas Matulevicius, Barbora Buhnova, Sofija Maksovic, Tomás Pitner
Forensic-Ready Risk Management Concepts. CoRR (2022)
Martin Macák, Radek Oslejsek, Barbora Buhnova
Process Mining Analysis of Puzzle-Based Cybersecurity Training. ITiCSE (1) (2022)
Stanislav Chren, Martin Macák, Bruno Rossi, Barbora Buhnova
Evaluating Code Improvements in Software Quality Course Projects. EASE (2022)
Martin Macák, Radek Vaclavek, Dasa Kusniráková, Raimundas Matulevicius, Barbora Buhnova
Scenarios for Process-Aware Insider Attack Detection in Manufacturing. ARES (2022)
Martin Macák, Matus Stovcik, Tomás Rebok, Mouzhi Ge, Bruno Rossi, Barbora Buhnova
CopAS: A Big Data Forensic Analytics System. CoRR (2022)
Martin Macák, Lukas Daubner, Mohammadreza Fani Sani, Barbora Buhnova
Process mining usage in cybersecurity and software reliability analysis: A systematic literature review. Array 13 (2022)
Martin Macák, Daniela Kruzelova, Stanislav Chren, Barbora Buhnova
Using process mining for Git log analysis of projects in a software development course. Educ. Inf. Technol. 26 (5) (2021)
Martin Macák, Lukas Daubner, Julia Jamnicka, Barbora Buhnova
Game Achievement Analysis: Process Mining Approach. ADMA (2021)
Martin Macák, Lukas Daubner, Mohammadreza Fani Sani, Barbora Buhnova
Cybersecurity Analysis via Process Mining: A Systematic Literature Review. ADMA (2021)
Martin Macák, Stefan Bojnak, Barbora Buhnova
Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study. FedCSIS (2021)
Martin Macák, Hind Bangui, Barbora Buhnova, András J. Molnár, Csaba István Sidló
Big Data Processing Tools Navigation Diagram. IoTBDS (2020)
Martin Macák, Mouzhi Ge, Barbora Buhnova
A Cross-Domain Comparative Study of Big Data Architectures. Int. J. Cooperative Inf. Syst. 29 (4) (2020)
Martin Macák, Matus Stovcik, Barbora Buhnova, Michal Merjavy
How well a multi-model database performs against its single-model variants: Benchmarking OrientDB with Neo4j and MongoDB. FedCSIS (2020)
Martin Macák, Matus Stovcik, Barbora Buhnova
The Suitability of Graph Databases for Big Data Analysis: A Benchmark. IoTBDS (2020)
Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner
Towards verifiable evidence generation in forensic-ready systems. IEEE BigData (2020)
Martin Macák, Agata Kruzikova, Lukas Daubner, Barbora Buhnova
Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification. ICSE (Workshops) (2020)
Martin Macák, Ivan Vanat, Michal Merjavy, Tomás Jevocin, Barbora Buhnova
Towards Process Mining Utilization in Insider Threat Detection from Audit Logs. SNAMS (2020)
Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner
Verification of forensic readiness in software development: a roadmap. SAC (2020)
Stanislav Chren, Barbora Buhnova, Martin Macák, Lukas Daubner, Bruno Rossi
Mistakes in UML diagrams: analysis of student projects in a software engineering course. ICSE (SEET) (2019)
Jakub Lipcak, Martin Macák, Bruno Rossi
Big Data Platform for Smart Grids Power Consumption Anomaly Detection. FedCSIS (2019)