IEEE

A Hybrid Model for BGP Anomaly Detection Using Median Absolute Deviation and Machine Learning

Abstract: Detecting anomalies in the Border Gateway Protocol (BGP) has proved relevant in the cybersecurity field due to the protocol’s critical role in the Internet’s infrastructure. BGP ...
GitHub

Block or report kemhpomn

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit ...
IEEE

Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks

Abstract: In time-series data analysis, identifying anomalies is crucial for maintaining data integrity and ensuring accurate analyses and decision-making. Anomalies can compromise data quality and ...
GitHub

Data analysis project that processes expense data, detects anomalies, analyzes trends, and predicts future spending using Python.

The Expense Intelligence System is a Python-based data analytics project that analyzes personal spending data using Pandas and Matplotlib. The system validates the structure of the dataset, cleans the ...