Laurin Doerr
Publications:
| Sort by: | Year | | Title | | Citations |
A resource-preserving self-regulating Uncoupled MAC algorithm to be applied in incident detection | |
| Authors: | Michael Heigl, Laurin Doerr, Nicolas Tiefnig, Dalibor Fiala, Martin Schramm |
| Source: | Computers & Security, vol. 85, pp. 270-287, 2019. |
| ISSN: | 0167-4048 |
| Download: |  Full text [3110 kB] |
| View record in Web of Science® | |
Comparison of Energy-Efficient Key Management Protocols for Wireless Sensor Networks | |
| Authors: | Laurin Doerr, Michael Heigl, Dalibor Fiala, Martin Schramm |
| Source: | Proc. of the 2019 International Electronics Communication Conference, Okinawa, Japan, pp. 21-26, 2019. (ISBN 978-1-4503-7177-3) |
| Download: | Full text [674 kB] |
On the Energy Consumption of Quantum-resistant Cryptographic Software Implementations Suitable for Wireless Sensor Networks | |
| Authors: | Michael Heigl, Laurin Doerr, Martin Schramm, Dalibor Fiala |
| Source: | Proc. 16th International Joint Conference on e-Business and Telecommunications (SECRYPT), Prague, Czech Republic, pp. 72-83, 2019. (ISBN 978-989-758-378-0) |
| Download: | Full text [642 kB] |
| View record in Web of Science® | |
Incident Reaction Based on Intrusion Detections’ Alert Analysis | |
| Authors: | Michael Heigl, Laurin Doerr, Amar Almaini, Dalibor Fiala, Martin Schramm |
| Source: | Proc. 23rd International Conference on Applied Electronics, Pilsen, Czech Republic, pp. 45-50, 2018. (ISBN 978-80-261-0721-7) |
| Download: | Full text [508 kB] |
| View record in Web of Science® | |
Assessment Simulation Model for Uncoupled Message Authentication | |
| Authors: | Laurin Doerr, Dalibor Fiala, Michael Heigl, Martin Schramm |
| Source: | Proc. 22nd International Conference on Applied Electronics, Pilsen, Czech Republic, pp. 45-48, 2017. (ISBN 978-80-261-0641-8) |
| Download: | Full text [1569 kB] |
| View record in Web of Science® | |
Projects:
Data Mining for Computer Networks Security | |
| Authors: | Michael Heigl, Laurin Doerr, Dalibor Fiala |
| Desc.: | Novel data mining methods for the enhancement of computer networks security using advanced outlier detection techniques on streaming data are investigated. |