Chasing Your Tail (CYT) https://github.com/ArgeliusLabs/Chasing-Your-Tail-NG A comprehensive #WiFi probe request analyzer that monitors and tracks wireless devices by analyzing their probe requests. The system integrates with #Kismet for packet capture and WiGLE API for #SSID#geolocation analysis, featuring advanced #surveillance#detection capabilities. Features Real-time Wi-Fi monitoring with Kismet integration Advanced surveillance detection with persistence scoring Automatic GPS integration - extracts coordinates from Bluetooth GPS via Kismet GPS correlation and location clustering (100m threshold) Spectacular KML visualization for Google Earth with professional styling and interactive content Multi-format reporting - Markdown, HTML (with pandoc), and KML outputs Time-window tracking (5, 10, 15, 20 minute windows) WiGLE API integration for SSID geolocation Multi-location tracking algorithms for detecting following behavior Enhanced GUI interface with surveillance analysis button Organized file structure with dedicated output directories Comprehensive logging and analysis tools Requirements Python 3.6+ Kismet wireless packet capture Wi-Fi adapter supporting monitor mode Linux-based system WiGLE API key (optional)
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Источник @procode404 · Post #3677 · 2 авг.
🔫 Пишем свой 3D шутер на Unity и C# В этом небольшом плейлисте из 8 видео вы научитесь писать игры, использую современные возможности платформы Unity и языка C#. Вы узнаете о том, как можно настраивать физику движения персонажей и объектов, освещение сцен. При этом вам не придётся лезть в какие-то низкоуровневые детали самого движка. 1. План проекта, начало [4:22] 2. Создание местности [9:00] 3. Движение игрока [27:51] 4. Начало создания мультиплеера [24:19] 5. Синхронизация движения [9:30] 6. Стрельба [21:31] 7. Нанесение урона [19:12] 8. Итоги, завершение [1:46] #unity
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Поиск: #geolocation
@djangoproject · Post #241 · 25.01.2017, 13:30
http://www.aparat.com/v/4yGhH #Geolocation apps with #Django. Latitude, longitude, altitude, and even #iBeacons can be leveraged to enable geo-targeted experiences. But how do we build and optimize the server-side components to handle these requirements? Using a combination of libraries and techniques, we will illustrate these concepts. In this discussion everything from #map clustering and caching, to distance calculations and polygonal layering will be demonstrated using Django, #GeoDjango, #Redis, and #PostGIS as our tool belt.