Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks
Abstract
Estimation of an unknown deterministic vector from quantized sensor data is considered in the presence of spoofing attacks, which alter the data presented to several sensors. Contrary to the previous work, a generalized attack model is employed which manipulates the data using transformations with arbitrary functional forms determined by some attack parameters whose values are unknown to the attacked system. For the first time, necessary and sufficient conditions are provided under which the transformations provide a guaranteed attack performance in terms of Cramer-Rao Bound (CRB) regardless of the processing the estimation system employs, thus defining a highly desirable attack. Interestingly, these conditions imply that, for any such attack when the attacked sensors can be perfectly identified by the estimation system, either the Fisher information matrix (FIM) for jointly estimating the desired and attack parameters is singular or that the attacked system is unable to improve the CRB for the desired vector parameter through this joint estimation even though the joint FIM is nonsingular. It is shown that it is always possible to construct such a highly desirable attack by properly employing a sufficiently large dimension attack vector parameter relative to the number of quantization levels employed, which was not observed previously. To illustrate the theory in a concrete way, we also provide some numerical results which corroborate that under the highly desirable attack, attacked data are not useful in reducing the CRB.
Recommended Citation
J. Zhang et al., "Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks," IEEE Transactions on Signal Processing, vol. 65, no. 3, pp. 705 - 720, Institute of Electrical and Electronics Engineers (IEEE), Feb 2017.
The definitive version is available at https://doi.org/10.1109/TSP.2016.2626258
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Cramer-Rao Bound; Distributed Vector Parameter Estimation; Sensor Network; Spoofing Attack; The Expectation-Maximization Algorithm
International Standard Serial Number (ISSN)
1053-587X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Feb 2017
