The Mouseworld, a security traffic analysis lab based on NFV/SDN
Author:
Affiliation:
1. Telefonica I+D, Madrid, Spain
2. Universidad Politecnica de Madrid, Madrid, Spain
3. Space Hellas S.A., Athens, Greece
Funder
Horizon 2020
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3230833.3233283
Reference12 articles.
1. Multi-classification approaches for classifying mobile app traffic
2. LOF
3. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
4. SHIELD: A novel NFV-based cybersecurity framework
5. Markus Goldstein and Seiichi Uchida. 2016. A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data. PloS one 11 4 (2016). Markus Goldstein and Seiichi Uchida. 2016. A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data. PloS one 11 4 (2016).
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