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Jeff Schwartzentruber
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2020 – today
- 2024
- [j2]Ziyu Qiu, Zhilei Zhou, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. Int. J. Netw. Manag. 34(1) (2024) - 2023
- [c4]Rafael Copstein, Brad Niblett, Andrew Johnston, Jeff Schwartzentruber, Malcolm I. Heywood, Nur Zincir-Heywood:
MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. CNSM 2023: 1-7 - [c3]Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood
, Malcolm I. Heywood
:
A Boosting Approach to Constructing an Ensemble Stack. EuroGP 2023: 133-148 - [c2]Rasha Kashef, Monika Freunek, Jeff Schwartzentruber, Reza Samavi, Burcu Bulgurcu, A. J. Khan, Marcus Santos:
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. SecDev 2023: 207-213 - [i2]Rasha Kashef, Monika Freunek, Jeff Schwartzentruber, Reza Samavi, Burcu Bulgurcu, A. J. Khan, Marcus Santos:
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. CoRR abs/2302.13955 (2023) - 2022
- [j1]Rafael Copstein, Egil Karlsen, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
Exploring syntactical features for anomaly detection in application logs. it Inf. Technol. 64(1-2): 15-27 (2022) - [i1]Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
A Boosting Approach to Constructing an Ensemble Stack. CoRR abs/2211.15621 (2022) - 2021
- [c1]Rafael Copstein, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
Log Abstraction for Information Security: Heuristics and Reproducibility. ARES 2021: 93:1-93:10
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