Dynamic and Passive Mode Capturing of WLAN Packets of an Urban Locality

Ajay Prasad, A. Aggarwal, S. Verma, Tan Bhala
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Abstract

Wi-Fi is among the major means of internet access for people. This can be a good source of information gathering and prediction in an urban system. Wi-Fi or WLAN packets can be captured and analyzed to gain many insights into a locality like population density estimation, establishments in the zone, etc. Among many different ways of packet capturing, ‘Passive Monitor Mode’ is often used. The passive monitor mode capturing is often done in an area by keeping the sensing device stationary/fixed at a point. However, capturing packets by moving the sensor in a predetermined path has not been done in available works of literature. In this paper scanning of an urban stretch was performed keeping the sensors or monitoring types of equipment moving while scanning. The experiment conforms to a dynamic capturing of Wi-Fi packets in passive mode. The captured packets were stored and analyzed for sensed information. The captured packets revealed lots of data that can be interpreted using data analytics and AI techniques to gain lots of insights into an urban setup for various purposes. The results are presented hereby in the paper and a few suggestive uses are also presented supporting the need for the proposed activity or methodology.
城域无线局域网数据包的动态和被动捕获
Wi-Fi是人们上网的主要手段之一。在城市系统中,这可能是一个很好的信息收集和预测来源。可以捕获和分析Wi-Fi或WLAN数据包,以获得对地点的许多见解,如人口密度估计、区域内的机构等。在许多不同的数据包捕获方式中,“被动监控模式”经常被使用。被动监测模式的捕获通常是在一个区域内通过保持传感设备固定在一个点上来完成的。然而,在现有文献中,通过在预定路径中移动传感器来捕获数据包的方法尚未实现。在本文中,对一个城市区域进行扫描,同时保持传感器或监测类型的设备移动。本实验符合被动模式下动态抓取Wi-Fi报文。捕获的数据包被存储和分析以获取感测信息。捕获的数据包揭示了大量数据,可以使用数据分析和人工智能技术进行解释,以获得对城市设置的大量见解,用于各种目的。本文在此提出了结果,并提出了一些建议用途,以支持所提议的活动或方法的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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