Abstract
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.
Recommended Citation
S. Bhattacharjee and S. K. Das, "Building a Unified Data Falsification Threat Landscape for Internet of Things/Cyberphysical Systems Applications," Computer, vol. 56, no. 3, pp. 20 - 31, Institute of Electrical and Electronics Engineers; Computer Society, Mar 2023.
The definitive version is available at https://doi.org/10.1109/MC.2022.3198599
Department(s)
Computer Science
International Standard Serial Number (ISSN)
1558-0814; 0018-9162
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers; Computer Society, All rights reserved.
Publication Date
01 Mar 2023
Comments
National Science Foundation, Grant OAC-2017289