IEC-61850 Protocol Analysis and Online Intrusion Detection System for SCADA Networks using Machine Learning
Date
2018-05-07
Authors
Patel, Shivam
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Abstract
Nowadays, industrial network security has become a major threat. In order to detect and
prevent any type of attack on the industrial networks it is necessary to understand the
communication protocols used by them. Hence, the first part of the report would review
research done on IEC (International Electro Technical Commission) -61850 protocol
employed in electric substation environment. In the second part of the project, an online
intrusion detection system (OIDS) for SCADA networks which uses machine learning for
detection is implemented. OIDS is a testbed which emulates a typical SCADA network
and it consists of both attack and defense toolkits. SNORT is used for detecting the attack
traffic based on the machine learning weights. The machine learning weights are obtained
by training the collected traffic using the logistic regression algorithm.
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