Published November 19, 2018
| Version v1
Conference paper
Open
Application of distributed computing and machine learning technologies to cybersecurity
Creators
- 1. Hewlett Packard Enterprise
- 2. i2CAT
- 3. Space Hellas S.A.
- 4. inCITES Consulting SARL
- 5. Infili Technologies P.C.
- 6. Telefonica I+D
- 7. Orion Innovations P.C.
Description
SHIELD is a distributed cyber-security system that leverages Network Function Virtualisation for dynamically deploying virtual Network Security Functions. The security functions send network traffic’s monitoring data to a big-data store. The Data Analysis and Remediation Engine executes security analytics modules on top of monitoring data modules in order to detect threats. The security analytics heavily leverage Machine Learning algorithms for detecting anomalies and classifying threats. This paper presents the different Machine Learning algorithms and details the obtained results and the direction taken by the project with regards to its implementation, including business capabilities for the cybersecurity solution.
Files
CESAR2018_paper.pdf
Files
(491.1 kB)
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