Document Type

Article

Publication Date

8-15-2019

Department

Engineering

Keywords

cyber-physical systems, attack detection, malicious behavior, model system, false discovery rate, control system, system dynamics, control input, hidden Markov model, normal operation, sensor measurements

Abstract

Cyber-physical systems (CPSs) have become targets for malicious adversaries, creating new challenges for attaining reliable CPS performance. Achieving CPS security requires tools which extend beyond what is offered in state of the art software and cyber security. In this tutorial, we consider a science of CPS security which combines tools from both cyber security and system theory to defend against adversarial behavior. We discuss realistic and intelligent attack models from an adversarial perspective and then present mechanisms for defenders to achieve resilience by recognizing and responding to such malicious behavior. The focus of this tutorial is particularly on the recognition and detection of attacks, which is the first and foremost step in achieving resilience and is a necessary prerequisite to any active response.

Comments

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Source Publication Title

2019 18th European Control Conference (ECC)

Publisher

IEEE

First Page

979

DOI

10.23919/ECC.2019.8796117

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