A Lasso Approach to Secure State Estimation for Cyber-Physical Systems

EasyChair Preprint 14649

Abstract

The development of algorithms for secure state estimation in vulnerable cyber-physical systems has been gaining attention in the last years. A consolidated assumption is that an adversary can tamper a relatively small number of sensors. In this paper, we propose a Lasso-based approach and we analyse its effectiveness. We theoretically derive conditions that guarantee successful attack/state recovery and we develop a sparse state observer. We compare the proposed methods to the state-of-the-art algorithm via numerical simulations.

Keyphrases: Cyber-Physical Systems, LASSO, Secure State Estimation, sparse optimization, sparse sensor attacks, state observer

@booklet{EasyChair:14649,
  author    = {Vito Cerone and Sophie M. Fosson and Diego Regruto and Francesco Ripa},
  title     = {A Lasso Approach to Secure State Estimation for Cyber-Physical Systems},
  howpublished = {EasyChair Preprint 14649},
  year      = {EasyChair, 2024}}