Artificial Intelligence for Renewable Energy Systems

9Data Falsification Detection in AMI: A Secure Perspective Analysis

Vineeth V.V.¹* and S. Sophia²

¹Department of Electrical and Electronics, Sri Krishna College of Engineering and Technology, Coimbatore, India

²Department of Electronics and Communication, Sri Krishna College of Engineering and Technology, Coimbatore, India

Abstract

Advanced metering infrastructure (AMI) being a crucial component of smart grid environment has enormous attractive characteristics and relatively low cost of installation. AMI makes communication in two-way possible between the smart metering infrastructure and utility centers which facilitates functionalities like automated reading of meter data and power distribution monitor and control. Nevertheless, the implementation of AMIs poses several challenges and threats which can, in turn, deteriorate its benefits. This paper gives an overview of various attack scenarios associated with AMI with major focus on data falsification attacks. In data falsification attacks, attackers aim to inject malicious codes or false data to tamper legitimate data. A detailed analysis of the various detection schemes that are available to effectively detect such attacks is also given on the paper.

Keywords: Advanced metering infrastructure, smart meter, false data injection, detection

9.1 Introduction

The numerous enhancements and improved innovative potential of smart grid environment create grid architecture complex and expose the grid to a variety of attacks. Advanced ...