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Leveraging PLC ladder logic for signature based IDS rule generation

Author: Drew Jackson Richey; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
Publisher: Mississippi State : Mississippi State University, 2016.
Dissertation: Thesis (M.S.) Mississippi State University. Department of Electrical and Computer Engineering 2016.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English
Summary:
Industrial Control Systems (ICS) play a critical part in our world’s economy, supply chain and critical infrastructure. Securing the various types of ICS is of the utmost importance and has been a focus of much research for the last several years. At the heart of many defense in depth strategies is the signature based intrusion detection system (IDS). The signatures that define an IDS determine the effectiveness of  Read more...
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Genre/Form: Academic theses
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Drew Jackson Richey; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
OCLC Number: 960328230
Description: 1 online resource (ix, 80 pages) : illustrations (some color)
Details: Mode of access: Internet via the World Wide Web.; System requirements: Internet connectivity; World Wide Web browser software; Adobe Acrobat Reader.
Responsibility: by Drew Jackson Richey.
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Abstract:

Industrial Control Systems (ICS) play a critical part in our world’s economy, supply chain and critical infrastructure. Securing the various types of ICS is of the utmost importance and has been a focus of much research for the last several years. At the heart of many defense in depth strategies is the signature based intrusion detection system (IDS). The signatures that define an IDS determine the effectiveness of the system. Existing methods for IDS signature creation do not leverage the information contained within the PLC ladder logic file. The ladder logic file is a rich source of information about the PLC control system. This thesis describes a method for parsing PLC ladder logic to extract address register information, data types and usage that can be used to better define the normal operation of the control system which will allow for rules to be created to detect abnormal activity.

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