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

doi:10.1007/978-3-030-39303-8_27

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 proceeding › Conference contribution

4 Citations (Scopus)

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 language	English
Title of host publication	Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers
Editors	Ilsun You
Publisher	Springer
Pages	357-369
Number of pages	13
ISBN (Print)	9783030393021
DOIs	https://doi.org/10.1007/978-3-030-39303-8_27
Publication status	Published - 2020
Event	20th World Conference on Information Security Applications, WISA 2019 - Jeju Island, Korea, Republic of Duration: 2019 Aug 21 → 2019 Aug 24

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11897 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th World Conference on Information Security Applications, WISA 2019
Country/Territory	Korea, Republic of
City	Jeju Island
Period	19/8/21 → 19/8/24

Bibliographical note

Funding Information:
Acknowledgment. This work was supported by Institute of Information communications Technology Planning Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2018-0-00269, A research on safe and convenient big data processing methods), (No.2019-0-01697, Development of Automated Vulnerability Discovery Technologies for Blockchain Platform Security).

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Dark Web
Deep Web
Profiling
Sybil identity detection

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-39303-8_27

Cite this

Lee, J., Hong, Y., Kwon, H., & Hur, J. (2020). Shedding Light on Dark Korea: An In-Depth Analysis and Profiling of the Dark Web in Korea. In I. You (Ed.), Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers (pp. 357-369). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11897 LNCS). Springer. https://doi.org/10.1007/978-3-030-39303-8_27

Shedding Light on Dark Korea: An In-Depth Analysis and Profiling of the Dark Web in Korea. / Lee, Jinhee; Hong, Younggee; Kwon, Hyunsoo et al.
Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. ed. / Ilsun You. Springer, 2020. p. 357-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11897 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, J, Hong, Y, Kwon, H & Hur, J 2020, Shedding Light on Dark Korea: An In-Depth Analysis and Profiling of the Dark Web in Korea. in I You (ed.), Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11897 LNCS, Springer, pp. 357-369, 20th World Conference on Information Security Applications, WISA 2019, Jeju Island, Korea, Republic of, 19/8/21. https://doi.org/10.1007/978-3-030-39303-8_27

Lee J, Hong Y, Kwon H, Hur J. Shedding Light on Dark Korea: An In-Depth Analysis and Profiling of the Dark Web in Korea. In You I, editor, Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. Springer. 2020. p. 357-369. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-39303-8_27

Lee, Jinhee ; Hong, Younggee ; Kwon, Hyunsoo et al. / Shedding Light on Dark Korea : An In-Depth Analysis and Profiling of the Dark Web in Korea. Information Security Applications - 20th International Conference, WISA 2019, Revised Selected Papers. editor / Ilsun You. Springer, 2020. pp. 357-369 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this