Distorting an adversary's view in cyber-physical systems. Agarwal, G. K., Karmoose, M., Diggavi, S., Fragouli, C., & Tabuada, P. In 2018 IEEE Conference on Decision and Control (CDC), pages 1476–1481, 2018. IEEE. Arxiv doi abstract bibtex In Cyber- Physical Systems (CPSs), inference based on communicated data is of critical significance as it can be used to manipulate or damage the control operations by adversaries. This calls for efficient mechanisms for secure transmission of data since control systems are becoming increasingly distributed over larger geographical areas. Distortion based security, recently proposed as one candidate for CPSs security, is not only more appropriate for these applications but also quite frugal in terms of prior requirements on shared keys. In this paper, we propose distortion-based metrics to protect CPSs communication and show that it is possible to confuse adversaries with just a few bits of pre-shared keys.
@inproceedings{agarwal2018distorting,
abstract = {In Cyber- Physical Systems (CPSs), inference based on communicated data is of critical significance as it can be used to manipulate or damage the control operations by adversaries. This calls for efficient mechanisms for secure transmission of data since control systems are becoming increasingly distributed over larger geographical areas. Distortion based security, recently proposed as one candidate for CPSs security, is not only more appropriate for these applications but also quite frugal in terms of prior requirements on shared keys. In this paper, we propose distortion-based metrics to protect CPSs communication and show that it is possible to confuse adversaries with just a few bits of pre-shared keys.},
author = {Agarwal, Gaurav Kumar and Karmoose, Mohammed and Diggavi, Suhas and Fragouli, Christina and Tabuada, Paulo},
booktitle = {2018 IEEE Conference on Decision and Control (CDC)},
organization = {IEEE},
pages = {1476--1481},
tags = {conf,CPS},
title = {Distorting an adversary's view in cyber-physical systems},
type = {4},
url_arxiv = {https://arxiv.org/abs/1809.04580},
doi = {10.1109/CDC.2018.8619457},
year = {2018}
}
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