Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 4 | Issue - 3 | september 2022
Published
05 September, 2022
The Intelligent Electronic Devices (IEDs) are widely used to control the power circuits through an automated control device. The main motive of IEDs is to monitor the power flow, enable the control process and meter the changes. In some cases, the IEDs are employed as an electronic circuit breaker for providing a reliable operation. It is achieved by operating the relays through digital signals. The traditional methods have been using a mechanical system for operating the circuit breakers, which requires a manual operation for resting the breakers. The modern IEDs are developed to reset the operation by its own but such systems are heavily affected through data intrusions. Therefore, a programmed IED is developed in the proposed work to analyze if the decisions made by the IEDs are original or fake in a simulated observation. It is done with a mathematical averaging algorithm with respect to time for estimating a threshold. The experimental outcome indicates that the performance of the customized IED is better over the traditional IEDs. Moreover, the proposed device saves the energy distribution in a power system by avoiding the fake operations created in the IEDs through external intrusions.
KeywordsRemote terminal unit cyber-attacks false data injection power circuit analysis hardware safety
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