Mining Techniques in Network Security to Enhance Intrusion Detection Systems - Maher Salem; Ulrich Buehler (CoRR, 2012)

Reinforcing network security by converting massive data flow to continuous connections for IDS. - Maher Salem; Ulrich Buehler (ICITST, 2013)

An Enhanced GHSOM for IDS. - Maher Salem; Ulrich Buehler (SMC, 2013)

A Comprehensive Model for Revealing Anomaly in Network Data Flow. - Maher Salem; Ulrich Buehler (GI-Jahrestagung, 2014)

Persistent dataset generation using real-time operative framework. - Maher Salem; Sven Reissmann; Ulrich Buehler (ICNC, 2014)

An In-Database Rough Set Toolkit. - Frank Beer; Ulrich Bühler (LWA, 2015)

In-Database Feature Selection Using Rough Set Theory. - Frank Beer; Ulrich Bühler (IPMU (2), 2016)

A new Attack Composition for Network Security. - Frank Beer; Tim Hofer; David Karimi; Ulrich Bühler (DFN-Forum Kommunikationstechnologien, 2017)

Feature selection for flow-based intrusion detection using Rough Set Theory. - Frank Beer; Ulrich Bühler (ICNSC, 2017)

A Hierarchical Architecture and Probabilistic Strategy for Collaborative Intrusion Detection. - Christoph Hardegen; Mike Petersen; Chukwuebuka Ezelu; Timo Geier; Sebastian Rieger; Ulrich Buehler (CNS, 2021)

Privacy-Preserving Collaborative Intrusion Detection Systems: A Federated Learning Framework. - Chukwuebuka Ezelu; Ulrich Buehler (CSCI, 2022)

Generative Pattern Dissemination for Collaborative Intrusion Detection. - Mike Petersen; Christoph Hardegen; Ulrich Buehler (CIoT, 2023)

Membership Management in Collaborative Intrusion Detection Systems. - Chukwuebuka Ezelu; Ulrich Buehler (ICNC, 2023)