A Comprehensive Review on Fault Data Injection in Smart Grid

Title

A Comprehensive Review on Fault Data Injection in Smart Grid

Creator

Prakyath D.; Mallikarjunaswamy S.; Sharmila N.; Rekha V.; Pooja S.

Description

Nowadays, power generation at the utility side and transfer to the demand side have been controlled by the smart grid. Day-by-day entire power distribution process has moved in multiple directions and connects more residential and industrial sectors. Due to these phenomena, more monitoring, and security processes have been adopted in smart grid to control fault data injection, cyber-attack, and physical side attackers in smart grids. This research study analyzes the fault data injection in smart grid with respect to the malicious data, signal, and connectivity process. As a part of this research study, a survey has been done on various techniques to control the faults in smart grid. The analysis carried out in this study is very helpful to identify and determine the suitable method to control the fault in smart grid. Along with these, a countermeasure against the FDI is also summarized on the cyber-attack and physical attack. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Lecture Notes in Networks and Systems, Vol-757 LNNS, pp. 649-660.

Date

2023-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Cyber-attack; Fault data injection attack (FDIA); Machine learning; Smart grid

Coverage

Prakyath D., Department of Electrical and Electronics Engineering, SJB Institute of Technology, Karnataka, Bengaluru, India; Mallikarjunaswamy S., Electronics and Communication Engineering, JSS Academy of Technical Education, Karnataka, Bengaluru, India; Sharmila N., Electrical and Electronics Engineering, JSS Science and Technology University, Karnataka, Mysore, India; Rekha V., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Pooja S., Department of Electronics and Communication Engineering, KS Institute of Technology, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981995165-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-99-5166-6_44

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174435491&doi=10.1007%2f978-981-99-5166-6_44&partnerID=40&md5=2914c5522af157f755730696bfb05586