Machine Learning: A Primer for Security.

Autor: Jou, Stephan
Předmět:
Zdroj: ISSA Journal; Jan2017, Vol. 15 Issue 1, p14-21, 8p
Abstrakt: The article analyzes how machine learning can be supplemented to address the practical challenges of delivering lower-cost security by quickly resolving more threats, with fewer resources. It describes machine learning security techniques that work at typical levels of data volumes, from those operating with small data to those implementing big data.
Databáze: Complementary Index