A Survey of Data Cleansing Techniques for Cyber-Physical Critical Infrastructure Systems

Abstract

Critical infrastructure cyber-physical systems heavily depend on accurate data in order to facilitate intelligent control and improve performance. Corruption of data in these systems is unavoidable, resulting from both intentional and unintentional means. The consequence of making control decisions based on erroneous or corrupted data can be severe including financial loss, injury, or death. This makes employing a mechanism to detect and mitigate corrupted data crucial. Many techniques have been developed to detect and mitigate corrupted data. However, these techniques vary greatly in their capability to detect certain anomalies and required computing resources. This chapter presents a survey of data cleansing techniques and their applicability to various control levels in a critical infrastructure cyber-physical systems.

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Critical Infrastructure; Cyber-Physical Systems; Data Cleansing

International Standard Book Number (ISBN)

978-0128099193

International Standard Serial Number (ISSN)

0065-2458

Document Type

Book - Chapter

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Elsevier, All rights reserved.

Publication Date

01 Jan 2016

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