✈️ A device that detects for aircraft spoofing by monitoring for malicious ADS-B signals in the 1090MHz frequency. Built using a Raspberry Pi 3B and a FlightAware SDR

Elyzer is an email header analyzer, written in python, capable of detecting potential spoofing attempts.

A comapartive analysis of voice spoofing detection systems, based on a paper available at https://arxiv.org/abs/2210.00417.

[Drones 2023] Official implementation of A Deep-Learning-Based GPS Signal Spoofing Detection Method for Small UAVs

📡 Automatic Driving LiDAR Spoofing Forensics Datasets

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

A universal oboi binary installer. Install oboi email fraud scoring into your command shell environment

A Sever-Client tool detects DNS spoofing. Project done in Summer Workshop held by School of Computing, National University of Singapore.

Working on Synthetic Voice Spoofing Detection using One Class Learning

HDD | SSD | Spoof | Spoofer | Hardware | 2026 | For All |

GPS sinyali taklit saldırılarını (GPS spoofing) tespit etmek amacıyla geliştirilmiş bir sistem sunmaktadır. Makine öğrenimi teknikleri ve sinyal işleme yöntemleri kullanılarak, sahte GPS sinyalleri gerçek sinyallerden ayırt edilmekte ve güvenli navigasyon sağlanmaktadır.

precensAI is an AI-driven app for automatic attendance tracking using facial recognition. It ensures real-time detection with anti-spoofing measures, streamlining attendance for classrooms and workplaces. Developed to modernize attendance systems, it was built for AI and tech competitions.

SniffSec is a Python-based network scanning and monitoring tool designed to capture, analyze, and visualize network traffic. It provides functionalities for packet sniffing, ARP and DNS spoofing detection, and real-time network activity monitoring with interactive visualizations.

This repository contains the model development code for Face Spoof Detection.

My implementation of the "Machine Learning and Pattern Recognition" exam project, a.y. 2023-2024 - Politecnico di Torino.

FileMatch validates if a file's MIME type matches its extension, detecting spoofing.

40-People-3D-2D-Living-Face-Anti-Spoofing-Data

Detection and mitigation of GPS spoofing attacks using signal consistency analysis and anomaly identification in navigation data.

PhishGuard is an AI-powered phishing email detector that helps identify and flag malicious emails in real time. Using machine learning techniques, it analyzes email content to protect users from scams, phishing attacks, and cyber threats.

Veriguard is a face recognition-based attendance and access control system using face-api.js (TensorFlow.js). It automates attendance, prevents proxy attempts with anti-spoofing detection, and provides administrators a web dashboard for monitoring, reporting, and record management.