Sequential Detection of Replay Attacks with a Parsimonious Watermarking Policy-Reference-Cited by-同舟云学术

Sequential Detection of Replay Attacks with a Parsimonious Watermarking Policy

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
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Author:

Naha Arunava¹,Teixeira Andre²,Ahlen Anders¹,Dey Subhrakanti³

Affiliation:

1. Uppsala University,The Department of Electrical Engineering,Uppsala,Sweden,75103

2. Uppsala University,Department of Information Technology,Uppsala,Sweden,PO Box 337

3. Hamilton Institute, National University of Ireland,Department of Electronic Engineering,Maynooth,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867703.pdf?arnumber=9867703

Reference24 articles.

1. A data-based private learning framework for enhanced security against replay attacks in cyberphysical systems;zhai;Int J Robust Nonlinear Control,2020

2. Optimal periodic watermarking schedule for replay attack detection in cyber–physical systems

3. Detection and Isolation of Replay Attacks through Sensor Watermarking * *This work has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 608224 and from H2020 Programme under grant no. 707546 (SURE).

4. Detection of replay attacks in cyber-physical systems using a frequency-based signature

5. Stochastic coding detection scheme in cyber-physical systems against replay attack

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