Volume 10 Issue 2 - April 2018

  • 1. Analysis of residual smearing in least squares state estimator for various false data injection attack scenarios

    Authors : Reena Rajendra Ambekar, H. A. Mangalvedekar

    Pages : 353-359

    DOI : http://dx.doi.org/10.21172/1.102.57

    Keywords : Cyber physical system, Least Square , Smearing, FDIA

    Abstract :

    Cyber physical systems (CPS) have become the order of the day. However they are vulnerable to threats under false data injection attacks. The system monitoring in most of the CPS is carried out using state variables of a system. State variables are the minimal set of variables using which one can obtain the entire behavior of the system. Hence generally the aim of the attacker is to bias the state variables of the system. The state variables (complex voltages at nodes) in power system are conventionally calculated using the power flow and power injections, state variables, and transmission system parameters which are measured in real time. If there are any errors in these measurements then the calculated state variables may be biased. This may mislead the power system operators.

    Citing this Journal Article :

    Reena Rajendra Ambekar, H. A. Mangalvedekar, "Analysis of residual smearing in least squares state estimator for various false data injection attack scenarios", https://www.ijltet.org/journal_details.php?id=930&j_id=4517, Volume 10 Issue 2 - April 2018, 353-359, #ijltetorg