暗网论坛分析使用元数据搜索机器人

Rabab Alayham Abbas Helmi, Naveen A-L Baskaran, Arshad Jamal, M. N. Mohammed
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引用次数: 0

摘要

多年来,网络爬虫的使用一直在增加,以检索数据。为了提高结果输出的精度,一个功能齐全、准确的爬虫是实现它们的关键。网络爬虫越先进、越灵活,数据抓取的效果就越好。在暗网数据检索中,爬行器的生命力不断增强。本文重点研究了基于暗网的网页爬虫应用程序的开发。该系统的目的是能够从暗网论坛与给定的URL和关键字检索数据。为了能够在预期输出的基础上准确地获取数据,通过对数据进行过滤,提高了数据输出的精度。获得的数据可以以多种文件格式保存,以供将来的研究和开发之用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dark Net Forum Analyzer Using Meta Data Search Bots
The usage of web crawlers has been increasing over the years to retrieve data. A functional and accurate crawler is crucial of system that implements them, to increase the precision in result output. The advanced and flexible the web crawler is, the better the data scraping can get. Vitality of crawlers rises when it is being implemented in retrieving data from dark net. The paper emphasizes on the development web crawling application based on dark net. The aim of this system is to be able to retrieve data from dark net forums with given URL and keyword. To able to gain data accurately based on the expected output, the precision of data output has been increased by implementation of data filtering. The data obtained can be reserved in multiple file format for future research and development purposes.
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