Building an Industrial Immune System: Harnessing Machine Learning for Threat Monitoring in ICS Security

While cyber security has been around for a long time, it is becoming increasingly more sophisticated in the way the attack vectors are being put together, posing greater risk to all industrial control systems, regardless of whether they be utilities, transport or otherwise.

With IT and OT converging as operations become increasingly more interconnected, there is an overarching business and technological need for complete visibility, security, protection and compliance mostly because just one attack could shake customer faith, shareholder confidence and ultimately put the organisation at risk.

Ahead of the ICS Security Summit 2019 we chat to Ernest Foo, Associate Professor at Griffith University.  Ernest has extensive experience with computer networking, having worked and taught in this area for over 15 years, and specialises in cryptographic protocols and network security applications. These include specific applications in the areas of industrial control system security and cyber physical systems such as SCADA and the smart grid.

In this article Ernest talks us through the current ICS threat landscape, and explores the trends emerging as viable tools for improved intrusion detection and cyber security threat mitigation.