Power Theft Recognition and data security in Smart Meter Reading of a Smart Grid

Abstract

Abstract Smart meter is an important component of smart grid environment has enormous features like precise measurement and possibility of two way communication among the entities involved in grid. Nevertheless, it has distinctive features like intricate structure, resource constriction and confidential sensitive data. These features make a meter structure more susceptible for attack and error. Power theft is identified as a major threat in meter infrastructure. Several literature has found to study this issue in detail because it poses a great threat to the overall grid architecture. This paper investigates the major thefts and threats in such an environment and identifies the essential safety prerequisites to be maintained by a smart meter. A risk model is identified using attack characteristics to figure out major risks. Different class of power theft detection mechanisms are analysed and reviewed to precisely define and understand the attack vulnerability in smart meters.