E-mail: grzegorz.kolaczek@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Science and Systems Engineering

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 302
phone +48 71 320 2116

Office hours

• Monday 9.00-11.00
• Tuesday 11.00-13.00

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Research fields

• cyber security; intrusion detection; anomaly and fraud detection; modeling security and trust level; anonymity and privacy; information and communication technology.

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Recent papers

2015

• Kołaczek G., Juszczyszyn K., Świątek P.R., Grzech A., Schauer P., Stelmach P.J., Falas Ł.L., Trust-based security-level evaluation method for dynamic service-oriented environments. Concurrency and Computation: Practice and Experience. 2015, s. 1-19., IF - 0.997 (2014)
• Kołaczek G., Balcerzak S., Identification of shill bidding for online auctions using anomaly detection, New trends in intelligent information and database systems, Studies in Computational Intelligence. 2015, vol. 598, s. 111-120.

2012

• Kołaczek G., Spatial analysis based method for detection of data traffic problems in computer networks, Uncertainty modeling in knowledge engineering and decision making, World Scientific Proceedings Series on Computer Engineering and Information Science. 2012. vol. 7, s. 919-924

2010

• Kołaczek G., Juszczyszyn K., Smart security assessment of composed web services, Cybernetics and Systems. Tytuł nr spec.: Applied intelligence and knowledge based systems: challenges, approaches, and case studies. 2010, vol. 41, nr 1 s. 46-61., IF - 0.662

2008

• Kołaczek G., Juszczyszyn K., Attack pattern analysis framework for multiagent intrusion detection system, International Journal of Computational Intelligence Systems. 2008, vol. 1, nr 3, s. 215-224. Impact Factor (2009) - 0,312

Papers in DONA database

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Selected publications
1	Article 2024 Aulia Arif Wardana, Grzegorz Kołaczek, Arkadiusz Warzyński, Parman Sukarno, Collaborative intrusion detection using weighted ensemble averaging deep neural network for coordinated attack detection in heterogeneous network. International Journal of Information Security. 2024, vol. 23, nr 5, s. 3329-3349. ISSN: 1615-5262; 1615-5270 Resources:DOIURLSFX
2	Proceeding paper 2024 Adam Wasilewski, Grzegorz Kołaczek, Sustainability in the digital age: Assessing the carbon footprint of e-commerce platforms. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 3 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 154-161. ISBN: 978-3-031-63758-2; 978-3-031-63759-9 Resources:DOIURLSFX
3	Article 2024 Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno, Lightweight, trust-managing, and privacy-preserving collaborative intrusion detection for Internet of things. Applied Sciences. 2024, vol. 14, nr 10, art. 4109, s. 1-35. ISSN: 2076-3417 Resources:DOIURLSFX
4	Article 2024 Adam Wasilewski, Grzegorz Kołaczek, One size does not fit all: Multivariant user interface personalization in e-commerce. IEEE Access. 2024, vol. 12, s. 65570-65582. ISSN: 2169-3536 Resources:DOIURLSFX
5	Article 2024 Remigiusz Szczepanowski, Izabella Uchmanowicz, Aleksandra H Pasieczna-Dixit, Janusz Sobecki, Radosław Katarzyniak, Grzegorz Kołaczek, Wojciech Lorkiewicz, Maja K Kędras, Anant Dixit, Jan Biegus, Marta Wleklik, Loreena Hill, Tiny Jaarsma, Amir Hussain, Mario Barbagallo, Nicola Veronese, Francesco C Morabito, Aleksander Kahsin, Application of machine learning in predicting frailty syndrome in patients with heart failure. Advances in Clinical and Experimental Medicine. 2024, vol. 33, nr 3, s. 309-315. ISSN: 1899-5276; 2451-2680 Resources:DOIURLSFX
6	Article 2024 Aulia Arif Wardana, Grzegorz Kołaczek, Arkadiusz Warzyński, Parman Sukarno, Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices. Scientific Reports. 2024, vol. 4, art. 3878, s. 1-18. ISSN: 2045-2322 Resources:DOISFX
7	Proceeding paper 2023 Marcin Smereka, Grzegorz Kołaczek, Janusz Sobecki, Adam Wasilewski, Adaptive user interface for workflow-ERP system. W: 27th KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES2023 / eds. G. A. Tsihrintzis [i in.]. Amsterdam : Elsevier, cop. 2023. s. 2381-2391. Resources:DOIURLSFX
8	Proceeding paper 2022 Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno, Collaborative Intrusion Detection System for Internet of Things using Distributed Ledger Technology: a survey on challenges and opportunities. W: Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 339-350. ISBN: 978-3-031-21742-5; 978-3-031-21743-2 Resources:DOIURLSFX
9	Proceeding paper 2021 Robert Lukas, Grzegorz Kołaczek, Android malware detection using deep learning methods. W: 2021 IEEE 30th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2021 : 27-29 October 2021, Virtual Conference : proceedings. Piscataway, NJ : IEEE, cop. 2021. s. 119-124. ISBN: 978-1-6654-2789-0 Resources:DOI
10	Proceeding paper 2020 Piotr Bienias, Arkadiusz Warzyński, Grzegorz Kołaczek, Application and preliminary evaluation of Anontool applied in the anomaly detection module. W: 2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2020, Virtual Conference, 4-6 November 2020 : proceedings. Piscataway, NJ : IEEE, 2020. s. 119-123. ISBN: 978-1-7281-6975-0 Resources:DOIURL

All publications