Building a Unified Data Falsification Threat Landscape for Internet of Things/Cyberphysical Systems Applications

We lay out a blueprint of a complete and parameterized threat landscape for data falsification/false data injection attacks on telemetry data collected from Internet of Things/cyberphysical systems applications under zero-trust assumptions, helping to enable better validation of anomaly-based attack...

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 56; no. 3; pp. 20 - 31
Main Authors Bhattacharjee, Shameek, Das, Sajal K.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Anomaly detection
Cyber-physical systems
Cybersecurity
Data integrity
Economics
Fake news
Internet of Things
Telemetry
Zero Trust
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Summary:We lay out a blueprint of a complete and parameterized threat landscape for data falsification/false data injection attacks on telemetry data collected from Internet of Things/cyberphysical systems applications under zero-trust assumptions, helping to enable better validation of anomaly-based attack detection methods.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2022.3198599