SCAN: Sensitive Code Analyzer for Nerds
-
Updated
Aug 19, 2025 - Kotlin
SCAN: Sensitive Code Analyzer for Nerds
This package analyzes file entropy (shannon entropy) for forensic and malware analysis.
Infoscava is a desktop application for comprehensive file analysis.
Implementation of Causation Entropy from Clarkson Center for Complex Systems Science (C3S2)
Project for grayscale image analysis, including entropy calculation, histogram equalization, image prediction using linear modeling, multi-level low-pass filtering with downsampling, JPEG compression evaluation (SSIM & PSNR), and visual comparisons of quality vs. metrics.
A sophisticated platform for anomaly detection in transaction data using autoencoders. Integrates SQL database connectivity, hyperparameter optimization, entropy analysis, and comprehensive visualizations. Tailored for financial fraud detection and industrial data analytics. (280 characters)
A comprehensive binary analysis tool built in C# capable of analyzing, converting, and disassembling binary data with a command-line interface.
End-to-End Python implementation of the computational toolkit for financial market complexity analysis from "Complexity of Financial Time Series: Multifractal and Multiscale Entropy Analyses" (2025). Implements cutting-edge entropy and fractal methods to quantify asset predictability, nonlinear correlations, and multifractal scaling properties.
Python, Tkinter ve VirusTotal API kullanılarak geliştirilmiş, yerel ve bulut tabanlı tarama yapabilen modern bir masaüstü uygulaması.
ObservaGuard is an AI-powered DevOps platform that detects Kubernetes configuration drift and secret leaks. It combines FastAPI, React, Go, and an IsolationForest ML model, with Docker, Helm, and Prometheus integration, offering a full microservices stack deployable locally or on K8s.
This is our first project on our internship.
Add a description, image, and links to the entropy-analysis topic page so that developers can more easily learn about it.
To associate your repository with the entropy-analysis topic, visit your repo's landing page and select "manage topics."