NDLI: A Case Study on Implementing False Data Injection Attacks Against Nonlinear State Estimation

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A Case Study on Implementing False Data Injection Attacks Against Nonlinear State Estimation

Content Provider	ACM Digital Library
Author	Maniatakos, Michail Konstantinou, Charalambos
Abstract	Smart grid aims to improve control and monitoring routines to ensure reliable and efficient supply of electricity. The rapid advancements in information and communication technologies of Supervisory Control And Data Acquisition (SCADA) networks, however, have resulted in complex cyber physical systems. This added complexity has broadened the attack surface of power-related applications, amplifying their susceptibility to cyber threats. A particular class of system integrity attacks against the smart grid is False Data Injection (FDI). In a successful FDI attack, an adversary compromises the readings of grid sensors in such a way that errors introduced into estimates of state variables remain undetected. This paper presents an end-to-end case study of how to instantiate real FDI attacks to the Alternating Current (AC) --nonlinear-- State Estimation (SE) process. The attack is realized through firmware modifications of the microprocessor-based remote terminal systems, falsifying the data transmitted to the SE routine, and proceeds regardless of perfect or imperfect knowledge of the current system state. The case study concludes with an investigation of an attack on the IEEE 14 bus system using load data from the New York Independent System Operator (NYISO).
Starting Page	81
Ending Page	92
Page Count	12
File Format	PDF
ISBN	9781450345682
DOI	10.1145/2994487.2994491
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	False data injection Flash memory Reverse engineering Firmware Cyber security Smart grid State estimation.
Content Type	Text
Resource Type	Article

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