Vulnerabilities of Smart Grid State Estimation against False Data Injection Attack
A. Anwar, A. N. Mahmood

TL;DR
This paper discusses the vulnerabilities of smart grid state estimation to false data injection attacks, highlighting the importance of cybersecurity in protecting critical energy infrastructure.
Contribution
It provides a literature review and case study that explain the characteristics and significance of false data injection attacks on energy management systems.
Findings
State estimator is vulnerable to cyber attacks
False data injection can compromise grid security
Case study illustrates attack impact
Abstract
In recent years, Information Security has become a notable issue in the energy sector. After the invention of The Stuxnet worm in 2010, data integrity, privacy and confidentiality has received significant importance in the real-time operation of the control centres. New methods and frameworks are being developed to protect the National Critical Infrastructures like energy sector. In the recent literatures, it has been shown that the key real-time operational tools (e.g., State Estimator) of any Energy Management System (EMS) are vulnerable to Cyber Attacks. In this chapter, one such cyber attack named False Data Injection Attack is discussed. A literature review with a case study is considered to explain the characteristics and significance of such data integrity attacks.
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Taxonomy
TopicsSmart Grid Security and Resilience · Network Security and Intrusion Detection · Security and Verification in Computing
