Grzegorz Kołaczek, DSc, PhD, Eng
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
Research fields
- cyber security; intrusion detection; anomaly and fraud detection; modeling security and trust level; anonymity and privacy; information and communication technology.
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
| Selected publications |
|---|
| 1 | Article 2025
| Internet of Things (IoT) technologies in cybersecurity: Challenges and opportunities. Applied Sciences. 2025, vol. 15, nr 6, art. 2935, s. 1-5. ISSN: 2076-3417 | | Resources:DOIURLSFX |     |
|
| 2 | Article 2025
Aulia Arif Wardana, Parman Sukarno, | CoAt-Set (Coordinated Attack Dataset) on heterogeneous computer network. Data in Brief. 2025, vol. 59, art. 111354, s. 1-16. ISSN: 2352-3409 | | Resources:DOISFX | |
|
| 3 | Article 2024
Aulia Arif Wardana, 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 | |
|
| 4 | Proceeding paper 2024
| 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 | |
|
| 5 | Article 2024
Aulia Arif Wardana, 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 | |
|
| 6 | Article 2024
| 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 | |
|
| 7 | Article 2024
Remigiusz Szczepanowski, Izabella Uchmanowicz, Aleksandra H Pasieczna-Dixit, 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 | |
|
| 8 | Article 2024
Aulia Arif Wardana, 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 | |
|
| 9 | Proceeding paper 2023
| 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 | |
|
| 10 | Proceeding paper 2022
Aulia Arif Wardana, 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 | |
|
All publications