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cs.CR2017
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
Jorge Rivero, Bernardete Ribeiro, Ning Chen +1
One of the main problems in Network Intrusion Detection comes from constant rise of new attacks, so that not enough labeled examples are available for the new classes of attacks. T…
cs.CR2016★ 1 cited
Attribute Learning for Network Intrusion Detection
Jorge Luis Rivero Pérez, Bernardete Ribeiro
Network intrusion detection is one of the most visible uses for Big Data analytics. One of the main problems in this application is the constant rise of new attacks. This scenario,…