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All Journal Journal of Computer Engineering: Progress, Application and Technology
Agus Setiawan Popalia
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Computer Science & IT

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DarkWeb Crawling using Focused and Classified Algorithm Putri Rahmasari Yunelfi; Yudha Purwanto; Muhammad Faris Ruriawan; Agus Setiawan Popalia; Fina Fahrani
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 1 No 02 (2022): August 2022
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v1i02.4879

Abstract

At this moment there are more and more cases of illegal goods transactions and personal data being leaked. Illegal transactions and personal sales data are usually carried out on the deep web, especially dark web because the web has multiple layers of encryption and an anonymous system when accessing it. without any illegal transactions and personal sales data, basically the web is very wide and deep. Therefore, the crawling method can be used to explore the dark web. The crawling method on the dark web can use a crawl focus that takes a focused approach on a particular topic. The focus crawling method takes a URL approach by looking at URL that are interconnected with the main URL page on the desired topic. To do focus crawling, it is done by entering keywords that best match the desired topic. With the focus crawling method, it is hoped that the maximum URL data set related to a particular topic can be generated. From the results obtained on the crawling system on the dark web, it is hoped that it can also be used to find out the number of URLs related to certain topics. In addition, the results of this crawl can also be a source of information for further research on the dark web.
Co-Authors Fina Fahrani Muhammad Faris Ruriawan Putri Rahmasari Yunelfi Yudha Purwanto