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Ulrich Bühler
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Conference and Workshop Papers
- 2023
- [c12]Mike Petersen, Christoph Hardegen, Ulrich Buehler:
Generative Pattern Dissemination for Collaborative Intrusion Detection. CIoT 2023: 163-170 - [c11]Chukwuebuka Ezelu, Ulrich Buehler:
Membership Management in Collaborative Intrusion Detection Systems. ICNC 2023: 47-53 - 2022
- [c10]Chukwuebuka Ezelu, Ulrich Buehler:
Privacy-Preserving Collaborative Intrusion Detection Systems: A Federated Learning Framework. CSCI 2022: 1076-1079 - 2021
- [c9]Christoph Hardegen, Mike Petersen, Chukwuebuka Ezelu, Timo Geier, Sebastian Rieger, Ulrich Buehler:
A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection. CNS 2021: 128-136 - 2017
- [c8]Frank Beer, Tim Hofer, David Karimi, Ulrich Bühler:
A new Attack Composition for Network Security. DFN-Forum Kommunikationstechnologien 2017: 11-20 - [c7]Frank Beer, Ulrich Bühler:
Feature selection for flow-based intrusion detection using Rough Set Theory. ICNSC 2017: 617-624 - 2016
- [c6]Frank Beer, Ulrich Bühler:
In-Database Feature Selection Using Rough Set Theory. IPMU (2) 2016: 393-407 - 2015
- [c5]Frank Beer, Ulrich Bühler:
An In-Database Rough Set Toolkit. LWA 2015: 146-157 - 2014
- [c4]Maher Salem, Ulrich Buehler:
A Comprehensive Model for Revealing Anomaly in Network Data Flow. GI-Jahrestagung 2014: 913-924 - [c3]Maher Salem, Sven Reissmann, Ulrich Buehler:
Persistent dataset generation using real-time operative framework. ICNC 2014: 1023-1027 - 2013
- [c2]Maher Salem, Ulrich Buehler:
Reinforcing network security by converting massive data flow to continuous connections for IDS. ICITST 2013: 570-575 - [c1]Maher Salem, Ulrich Buehler:
An Enhanced GHSOM for IDS. SMC 2013: 1138-1143
Informal and Other Publications
- 2012
- [i1]Maher Salem, Ulrich Buehler:
Mining Techniques in Network Security to Enhance Intrusion Detection Systems. CoRR abs/1212.2414 (2012)
Coauthor Index
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