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)
#H5游戏#cocos#pixi#layabox H5游戏客户端工程师 薪资待遇：面议，依资历谈薪 简历投递窗口：@jiesi997@nownow168@tung51688 工作职责： 职责一：开发工作 任务1、使用Egret进行项目相关功能模块的开发； 任务2、根据项目需求，进行游戏程序设计及开发工作； 职责二：协调工作 任务1、与服务器后端工程师沟通设计网络通信协议等； 任务2、与项目组策划、美术人员共同讨论开发需求及设计游戏实现细节，保证产品质量和进度； 任职要求 1、5年以上相关工作经验，1年以上Egret、Layabox、Coocs2d-js、pixi等其中一种或多种引擎开发经验，egret引擎优先； 2、熱练掌握 Javascript/Typescript语言、es6 语法，良好的OOP编程思想，熱悉各种前端调试工具，熱悉js性能优化： 3、熱悉 canvas和webgl图形学原理，熟悉CSS布局规苑等前端常规知识; 4、熟悉WebSocket 和 HTTP/HTTPS等网络协议，精通常用数据结构和算法： 5、熟悉H5游戏性能优化，善于解决跨浏览器和移动设备兼容性问题； 6、具有良好的编码规范，善于思考，具有极强的学习能力和独立解决问题的能力，能对团队代码质量负责；
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搜索 #geolocation
@djangoproject · Post #241 · 2017/01/25 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.