IEEE

Penetration Testing Procedure using Machine Learning

Abstract: The main aim of this study is to determine the effectiveness of a penetration testing tool, GyoiThon as a Machine Learning tool by conducting penetration tests on websites, including the ...
GitHub

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

TSB-UAD is a new open, end-to-end benchmark suite to ease the evaluation of univariate time-series anomaly detection methods. Overall, TSB-UAD contains 12686 time series with labeled anomalies ...
IEEE

Deep Learning Models for Solar Wind Speed Predictions Using Univariate Time Series Dataset

Abstract: The problem of solar wind speed prediction in time series involves forecasting future values of solar wind velocity based on historical data, which is crucial for space weather forecasting ...