开源情报(OSINT)对Facebook的调查

Pranesh Kumar Narasimhan, Chinmay Bhosale, Muhammad Hasban Pervez, Najiba Zainab Naqvi, Mert Ilhan Ecevit, Klaus Schwarz, Reiner Creutzburg
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引用次数: 0

摘要

开源智能(OSINT)已经走了很长一段路,它仍在发展想法,在不久的将来还会有很多调查。所有OSINT调查的主要基本要求是来自良好来源的有价值的数据。本文讨论了与Facebook数据收集相关的各种工具和方法,并分析了部分收集到的数据。在论文结束时,读者将深入而清晰地了解可用的技术,工具和描述工具,这些工具用于从Facebook平台中抓取数据,以及收集到的数据可以做的调查和分析类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-source Intelligence (OSINT) investigation in Facebook
Open Source Intelligence (OSINT) has come a long way, and it is still developing ideas, and lots of investigations are yet to happen in the near future. The main essential requirement for all the OSINT investigations is the information that is valuable data from a good source. This paper discusses various tools and methodologies related to Facebook data collection and analyzes part of the collected data. At the end of the paper, the reader will get a deep and clear insight into the available techniques, tools, and descriptions about tools that are present to scrape the data out of the Facebook platform and the types of investigations and analyses that the gathered data can do.
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