Share and Export
Share and Export
Kung, Enoch, Dey, Subhrakanti and Shi, Ling (2017) Optimal Stealthy Attack under KL Divergence and Countermeasure with Randomized Threshold. IFAC-PapersOnLine, 50 (1). pp. 9496-9501. ISSN 2405-8963
Preview
Dey_Stealthy_IFAC_2017.pdf
Download (546kB) | Preview
Abstract
In a cyber-physical system, there are potential sources of malicious attacks that can damage the estimation quality in an underlying network control system. The attacker aims to maximize these damages while the estimator attempts to minimize them. In this paper we define an attack’s stealth based on the KL divergence and obtain an optimal attack. Furthermore, we suggest one method in which the estimator may limit the damage to the system while imposing on any attack a probability for it to be non-stealthy.
| Item Type: | Article |
|---|---|
| Additional Information: | This paper was presented at IFAC 2017 World Congress - The 20th World Congress of the International Federation of Automatic Control, 9-14 Jul 2017, Toulouse, France. |
| Keywords: | Cyber-Physical Systems; Detection; Security; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 11898 |
| Identification Number: | 10.1016/j.ifacol.2017.08.1587 |
| Depositing User: | Subhrakanti Dey |
| Date Deposited: | 28 Nov 2019 12:04 |
| Journal or Publication Title: | IFAC-PapersOnLine |
| Publisher: | Elsevier |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/11898 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
- Item control page
Downloads
Downloads per month over past year
