Shedding Light on Dark Korea: An In-Depth Analysis and Profiling of the Dark Web in Korea

Jinhee Lee, Younggee Hong, Hyunsoo Kwon, Junbeom Hur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Dark Web sites are operated over anonymity-preserving protocols like Tor, making users of the Dark Web services more resilient to identification and monitoring. Although some previous works have focused on understanding the size of the Dark Web services and investigating their criminal activities, there is a lack of research on chronological analysis and in-depth profiling of the Dark Web sites, particularly in South Korea. Therefore, in this study, we implemented a Dark Web crawling system, and collected seed and sub Dark Web URLs using it. Then, the 3,000 Dark Web sites from the seed URLs were selected and their web pages were captured for profiling. An in-depth analysis was then conducted on the collected 3,000 Dark Web sites, and an intensive categorization was performed on the basis of their major criminal activities. We then carried out an in-depth profiling for top 3 Korean Dark Web sites to investigate cyber criminal activities in South Korea. In the profiling, criminal activities were collected and analyzed in a chronological point of view. Personal information leakage and Sybil IDs in the Dark Web were also identified based on the PGP keys we collected.

Original languageEnglish
Title of host publicationInformation Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers
EditorsIlsun You
PublisherSpringer
Pages357-369
Number of pages13
ISBN (Print)9783030393021
DOIs
Publication statusPublished - 2020 Jan 1
Event20th World Conference on Information Security Applications, WISA 2019 - Jeju Island, Korea, Republic of
Duration: 2019 Aug 212019 Aug 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11897 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th World Conference on Information Security Applications, WISA 2019
CountryKorea, Republic of
CityJeju Island
Period19/8/2119/8/24

Keywords

  • Dark Web
  • Deep Web
  • Profiling
  • Sybil identity detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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