Intrångsdetektering i processnätverk

Detta är en Kandidat-uppsats från Mälardalens högskola/Akademin för innovation, design och teknik

Sammanfattning: The threat against industrial networks have increased, which raises the demands on the industries cybersecurity. The industrial networks are not constructed with cybersecurity in mind, which makes these systems vulnerable to attacks. Even if the networks outer protection is deemed sufficient, the system may still be infected. This risk demands an intrusion detection system (IDS) that can identify infected components. An IDS scans all traffic of a point in the network and looks for traffic matching its detections parameters, if a match is made the IDS will send an alarm to the administrators. It can also analyze the network traffic using a behavior based method which means that the IDS will alert administrators if network activity deviates from the normal traffic flow. It is of vital essence that the IDS do not impair with the system, an outage of the industrial process can have a high cost for the industry. This report aims to put forward plans for the implementation of an IDS in one of Mälarenergi AB’s industrial networks, this will be made using the Bro and Snort intrusion detection systems. 

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