Mateusz Krzyszton

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 12

Top Topics

Anomaly Detection

Mobile Networks

Situation Aware

Top Venues

Publications

Giuseppe Stragapede, Rubén Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola
IEEE BigData 2023 Keystroke Verification Challenge (KVC). CoRR (2024)
Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola
IEEE BigData 2023 Keystroke Verification Challenge (KVC). BigData (2023)
Joanna Kolodziej, Mateusz Krzyszton, Pawel Szynkiewicz
Anomaly Detection In TCP/IP Networks. ECMS (2023)
Mateusz Krzyszton, Bartosz Bok, Marcin Lew, Andrzej Sikora
Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning. Sensors 22 (17) (2022)
Mateusz Krzyszton, Ewa Niewiadomska-Szynkiewicz
Intelligent Mobile Wireless Network for Toxic Gas Cloud Monitoring and Tracking. Sensors 21 (11) (2021)
Mateusz Krzyszton, Michal Marks
Simulation of watchdog placement for cooperative anomaly detection in Bluetooth Mesh Intrusion Detection System. Simul. Model. Pract. Theory 101 (2020)
Mateusz Krzyszton
Adaptive Supervisor: Method of Reinforcement Learning Fault Elimination by Application of Supervised Learning. FedCSIS (2018)
Frank T. Johnsen, Zbigniew Zielinski, Konrad S. Wrona, Niranjan Suri, Christoph Fuchs, Manas Pradhan, Janusz Furtak, Bogdan Vasilache, Vincenzo Pellegrini, Michal Dyk, Michal Marks, Mateusz Krzyszton
Application of IoT in military operations in a smart city. ICMCIS (2018)
Andrzej Sikora, Mateusz Krzyszton, Michal Marks
Application of Bluetooth low energy protocol for communication in mobile networks. ICMCIS (2018)
Mateusz Krzyszton, Ewa Niewiadomska-Szynkiewicz
Adaptation of MANET topology to monitor dynamic phenomena clouds. FedCSIS (2017)
Mateusz Krzyszton, Ewa Niewiadomska-Szynkiewicz
Mobile ad hoc network for a heavy gas cloud boundary estimation and tracking. MMAR (2016)
Mateusz Krzyszton
Comparison of MANET self-organization methods for boundary detection/tracking of heavy gas cloud. FedCSIS (2016)
Mateusz Krzyszton, Bartlomiej Sniezynski
Combining Machine Learning and Multi-agent Approach for Controlling Traffic at Intersections. ICCCI (1) (2015)
Andrzej Sikora, Ewa Niewiadomska-Szynkiewicz, Mateusz Krzyszton
Simulation of mobile wireless ad hoc networks for emergency situation awareness. FedCSIS (2015)