Shelby Hall Graduate Research Forum Posters

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Description

The integration of Information Technology (IT) and Operational Technology (OT) have made OT devices vulnerable to threats that have been successfully exploited with devastating results. Many modern techniques for hardening and securing enterprise IT systems are either incompatible with OT components in an Industrial Control System (ICS), reduce the efficiency of processes, or are prohibitively expensive to implement. Research in the area of ICS security focuses on a top-down approach, such as intrusion prevention by securing the perimeter of the network at layers 3 – 5 of the Purdue model by hardening IT systems. This approach is useful in Enterprise IT systems, but full compatibility with OT components in an ICS or the processes that have been configured on an existing ICS remains a problem. There is, therefore, a need to evaluate methods for reducing vulnerabilities that could affect ICS components at Levels 0 – 2 of the Purdue model. This research will present a bottom-up approach to detecting data manipulation that focuses on OT equipment in an ICS. Evaluating real-time data from multiple sensors in a related process has the potential to detect data manipulation, but a threat actor can manipulate the devices that collect the data for all of the sensors if they are all on the same network. Using a separate network could make manipulation of data detectible.

Publication Date

3-2026

Department

Computer Science

Disciplines

Computer Sciences

Detecting Sensor Data Manipulation

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