aaaastark/False-Data-Injection-Attack
False Data Injection Attack (FDIA) with Long Sort Term Memory (LSTM) Model using Python
This project helps smart grid operators and security analysts detect subtle, unobservable cyber-attacks that bypass traditional detection systems. It takes in real-time smart grid operational data (time series data) and outputs predictions indicating the presence of a 'false data injection attack' (FDIA). This tool is designed for professionals responsible for maintaining the security and reliability of critical infrastructure like power grids.
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Use this if you manage a smart grid system and need to enhance your cyberattack detection capabilities against advanced, stealthy false data injection threats.
Not ideal if you are looking for a general cybersecurity solution for IT networks or a tool to prevent attacks rather than detect them.
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MIT
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Last pushed
Nov 01, 2023
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