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)
写了三年博客，多多少少对写博客、建博客有一点了解，之前在 V2EX 看到这样一条帖子：想给一个女性作家朋友搭建一个博客网站，有什么成熟点的方案 网友评论了很多，有价值的也不少，我在此摘录几条我认为有用的： 1️⃣作家应该不是程序员吧？ 不明白为何那么多人还无脑推要用 git 的静态博客…… wordpress 吧，要是觉得卡顿，安利一下 zblogphp，很好用，主题也不少。 2️⃣Wordpress 插件多 技术成熟。。别信楼什么什么 github+hexo 的 别人又不是程序员，markdown 也做不了复杂的页面布局 3️⃣虚拟空间 + Typecho / Wordpress 或者博客平台.不要净搞些幺蛾子,还不好使(你朋友表示) 你以为很秀的操作在外行人眼中看来即不实际也不好使. 4️⃣大家还是偏极客了吧，程序员之外，愿意写 markdown，自己 git 提交的用户多吗？ 还是有一个易用的后台，广泛的插件、主题选择，也真没有比 wordpress 更好的了。 5️⃣推静态博客的不是蠢就是坏，又不是人人都是程序员。 也不建议自己搭，因为没人做 SEO，没啥用。 建议直接买成熟的平台，或者就地取材。 #博客
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@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.