Stealthy Measurement-Aided Pole-Dynamics Attacks with Nominal Models

When  traditional  pole-dynamics  attacks  (TPDAs)are implemented with nominal models, model mismatch betweenexact and nominal models often affects their stealthiness, or evenmakes the stealthiness lost. To solve this problem, our current pa-per  presents  a  novel  stealthy  measurement-aided  pole-dynamicsattacks  (MAPDAs)  method  with  model  mismatch.  Firstly,  thelimitations of TPDAs using exact models are revealed. Secondly,to  handle  the  limitations,  the  proposed  MAPDAs  method  isdesigned  by  using  an  adaptive  control  strategy,  which  can  keepthe  stealthiness.  Moreover,  it  is  easier  to  implement  as  only  themeasurements are needed in comparison with the existing meth-ods  requiring  both  measurements  and  control  inputs.  Thirdly,the  performance  of  the  proposed  MAPDAs  method  is  exploredusing  convergence  of  multivariate  measurements,  and  MAPDAswith  model  mismatch  have  the  same  stealthiness  and  similardestructiveness  as  TPDAs.  Finally,  experimental  results  from  anetworked inverted pendulum system confirm the feasibility andeffectiveness of the proposed method.