Patent · US Active

Machine learning based botnet detection with dynamic adaptation

US8402543B1 · kind B1 · utility

271Cited by

4References

27Claims

0Family size

Assignee

Narus, Inc. · US

Inventors

Supranamaya Ranjan · Palo Alto, US
Feilong Chen · North Bergen, US

Key dates

Filing date	Mar 25, 2011
Grant date	Mar 19, 2013
Priority date	—
Expiry date	Aug 4, 2031

Classification

Technology area (CPC H)Electricity
CPC primaryH04L2463/144
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

Embodiments of the invention address the problem of detecting bots in network traffic based on a classification model learned during a training phase using machine learning algorithms based on features extracted from network data associated with either known malicious or known non-malicious client and applying the learned classification model to features extracted in real-time from current network data. The features represent communication activities between the known malicious or known non-malicious client and a number of servers in the network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.