Stability of Consensus-Based Distributed Estimation Under Denial of Service
Giorgio Battistelli, Luigi Chisci, Daniela Selvi, Pietro Tesi
Abstract
This article aims to study the stability properties of consensus-based distributed state estimation (DSE) in the presence of denial-of-service (DoS) attacks. Specifically, we adopt a model that describes DoS in terms of its average frequency and duration. We focus on a family of DSE algorithms enjoying stability properties in the ideal case of no attacks, and prove that such properties are preserved under DoS provided that appropriate conditions are satisfied, with specific emphasis on the relation between transmission rate on one hand, and bounds on DoS frequency and duration on the other. Numerical simulation tests are shown concerning a target tracking case study.
Topics & Concepts
Denial-of-service attackStability (learning theory)DenialComputer scienceEstimationEngineeringMachine learningPsychologySystems engineeringThe InternetPsychoanalysisWorld Wide WebDistributed Control Multi-Agent SystemsSecurity in Wireless Sensor NetworksStability and Control of Uncertain Systems