Malevolent Information Crawling Mechanism for Forming Structured Illegal Organisations in Hidden Networks

IF 0.2 Q4 POLITICAL SCIENCE
Romil Rawat, Sonali Gupta, S. Sivaranjani, Om Kumar C.U., Megha Kuliha, K. Sankaran
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引用次数: 2

Abstract

Terrorist groups like ISIS have made considerable use of the dark web (DW) to carry out their malicious objectives such as spreading propaganda, recruiting and radicalizing new recruits, and secretly raising finances. Al-Hayat Media Center, an ISIS media agency, released a link on their forum describing how to access their DW website. It also sent out the identical message over Telegram, which included links to a Tor service with a “.onion” address. This study develops an analytical framework for scraping and analyzing the DW on the internet. The authors successfully tested a web crawler to collect account information for thousands of merchants and their related marketplace listings using a case study marketplace. The paper explains how to scrape DW marketplaces in the most viable and effective way possible. The findings of the case study support the validity of the proposed analytical framework, which is useful for academics researching this emerging phenomena as well as investigators looking into illegal behavior on the DW.
隐藏网络中形成结构化非法组织的恶意信息爬行机制
像ISIS这样的恐怖组织大量利用暗网(DW)来实现他们的恶意目标,如传播宣传,招募和激进新成员,以及秘密筹集资金。伊斯兰国媒体机构Al-Hayat媒体中心在他们的论坛上发布了一个链接,描述了如何访问他们的DW网站。它还通过电报发送了相同的信息,其中包括一个带有“。”的Tor服务链接。洋葱”地址。本研究开发了一个用于抓取和分析互联网数据仓库的分析框架。作者成功地测试了一个网络爬虫来收集数千个商家及其相关市场列表的账户信息,并使用了一个案例研究市场。本文解释了如何以最可行和最有效的方式抓取数据仓库市场。案例研究的结果支持了所提出的分析框架的有效性,这对于研究这一新兴现象的学者以及调查DW上非法行为的调查人员都是有用的。
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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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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