A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm

2018 ◽  
Author(s):  
Abdelkarim El Khantach ◽  
Mohamed Hamlich ◽  
Nour Eddine Belbounaguia
Keyword(s):  
Smart Grid ◽  
Data Detection ◽  
Decision Algorithm ◽  
False Data Detection

A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm

2018 ◽  
Author(s):  
Abdelkarim El Khantach ◽  
Mohamed Hamlich ◽  
Nour Eddine Belbounaguia
Keyword(s):  
Smart Grid ◽  
Data Detection ◽  
Decision Algorithm ◽  
False Data Detection

A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm

2018 ◽  
Author(s):  
Abdelkarim El Khantach ◽  
Mohamed Hamlich ◽  
Nour Eddine Belbounaguia
Keyword(s):  
Smart Grid ◽  
Data Detection ◽  
Decision Algorithm ◽  
False Data Detection

A Novel Real-Time False Data Detection Strategy for Smart Grid

2021 ◽  
Author(s):  
Debottam Mukherjee ◽  
Samrat Chakraborty ◽  
Ramashis Banerjee ◽  
Joydeep Bhunia
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Data Detection ◽  
Detection Strategy ◽  
False Data Detection

scholarly journals Real-Time False Data Detection in Smart Grid Based on Fuzzy Time Series

2019 ◽  
Vol 18 (5) ◽  
pp. 445-450
Author(s):  
Abdelkarim El Khantach ◽  
Mohamed Hamlich ◽  
Noureddine Belbounaguia
Keyword(s):  
Time Series ◽  
Smart Grid ◽  
Real Time ◽  
Fuzzy Time Series ◽  
Data Detection ◽  
Grid Based ◽  
False Data Detection

scholarly journals The IEC 61850 Sampled Measured Values Protocol: Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3731 ◽  
Author(s):  
Mohamad El Hariri ◽  
Eric Harmon ◽  
Tarek Youssef ◽  
Mahmoud Saleh ◽  
Hany Habib ◽  
...  
Keyword(s):  
Smart Grid ◽  
Protocol Analysis ◽  
Data Detection ◽  
Detection Accuracy ◽  
Wide Spread ◽  
Grid Data ◽  
Iec 61850 ◽  
Forecasting Error ◽  
Heterogeneous Nature ◽  
Statistical Indicators

The operation of the smart grid is anticipated to rely profoundly on distributed microprocessor-based control. Therefore, interoperability standards are needed to address the heterogeneous nature of the smart grid data. Since the IEC 61850 emerged as a wide-spread interoperability standard widely accepted by the industry, the Sampled Measured Values method has been used to communicate digitized voltage and current measurements. Realizing that current and voltage measurements (i.e., feedback measurements) are necessary for reliable and secure noperation of the power grid, firstly, this manuscript provides a detailed analysis of the Sampled Measured Values protocol emphasizing its advantages, then, it identifies vulnerabilities in this protocol and explains the cyber threats associated to these vulnerabilities. Secondly, current efforts to mitigate these vulnerabilities are outlined and the feasibility of using neural network forecasters to detect spoofed sampled values is investigated. It was shown that although such forecasters have high spoofed data detection accuracy, they are prone to the accumulation of forecasting error. Accordingly, this paper also proposes an algorithm to detect the accumulation of the forecasting error based on lightweight statistical indicators. The effectiveness of the proposed methods is experimentally verified in a laboratory-scale smart grid testbed.

Impact of False Data Detection on Cloud Hosted Linear State Estimator Performance

2018 ◽  
Author(s):  
Vinaya Chakati ◽  
Madhurima Pore ◽  
Ayan Banerjee ◽  
Anamitra Pal ◽  
Sandeep K.S. Gupta
Keyword(s):  
Data Detection ◽  
State Estimator ◽  
Linear State ◽  
False Data Detection
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