6533b85bfe1ef96bd12bbf6d
RESEARCH PRODUCT
Stealthy Attacks in Cloud-Connected Linear Impulsive Systems
Adriano FagioliniRicardo G. SanfeliceSean PhillipsFabio PasqualettiAlessandra Duzsubject
0209 industrial biotechnologyClass (computer programming)Authenticationbusiness.industryComputer scienceDistributed computingData_MISCELLANEOUS020208 electrical & electronic engineeringAutonomous agentCyber-physical systemCloud computing02 engineering and technologyFunction (mathematics)Security robotics distributed control and estimation020901 industrial engineering & automationControl theoryComputer Science::Multimedia0202 electrical engineering electronic engineering information engineeringbusinessComputer Science::Cryptography and Securitydescription
This paper studies a security problem for a class cloud-connected multi-agent systems, where autonomous agents coordinate via a combination of short-range ad-hoc commu- nication links and long-range cloud services. We consider a simplified model for the dynamics of a cloud-connected multi- agent system and attacks, where the states evolve according to linear time-invariant impulsive dynamics, and attacks are modeled as exogenous inputs designed by an omniscent attacker that alters the continuous and impulsive updates. We propose a definition of attack detectability, characterize the existence of stealthy attacks as a function of the system parameters and attack properties, and design a family of undetectable attacks. We illustrate our results on a cloud-based surveillance example.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-06-01 |