Distributed Pooled Data Intrusion Detection: Lessons Learned from Quantitative Group Testing
Author:
Affiliation:
1. Goethe University Frankfurt,Frankfurt,Germany
2. Christian Doppler Laboratory for Blockchain Technologies for the Internet of Things, TU Hamburg,Hamburg,Germany
3. Universität Hamburg,Hamburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10630852/10630896/10631070.pdf?arnumber=10631070
Reference37 articles.
1. Group Testing: An Information Theory Perspective
2. On the Data Path Performance of Leaf-Spine Datacenter Fabrics
3. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
4. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
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