Proactive blacklist update for anti-phishing

Lung Hao Lee; Kuei Ching Lee; Hsin Hsi Chen; Yuen Hsien Tseng

doi:10.1145/2660267.2662362

Proactive blacklist update for anti-phishing

Lung Hao Lee
, Kuei Ching Lee
, Hsin Hsi Chen
, Yuen Hsien Tseng

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

25 Citations (Scopus)

Abstract

This study explores the existing blacklists to discover suspected URLs that refer to on-the-fly phishing threats in real time. We propose a PhishTrack framework that includes redirection tracking and form tracking components to update the phishing blacklists. It actively finds phishing URLs as early as possible. Experimental results show that our proactive phishing update method is an effective and efficient approach for improving the coverage of the blacklists. In practice, our solution is complementary to the existing anti-phishing techniques for providing secured web surfing. Copyright is held by the owner/author(s).

Original language	English
Title of host publication	Proceedings of the ACM Conference on Computer and Communications Security
Publisher	Association for Computing Machinery
Pages	1448-1450
Number of pages	3
ISBN (Print)	9781450329576
DOIs	https://doi.org/10.1145/2660267.2662362
Publication status	Published - 2014 Nov 3
Event	21st ACM Conference on Computer and Communications Security, CCS 2014 - Scottsdale, United States Duration: 2014 Nov 3 → 2014 Nov 7

Publication series

Name	Proceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)	1543-7221

Other

Other	21st ACM Conference on Computer and Communications Security, CCS 2014
Country/Territory	United States
City	Scottsdale
Period	2014/11/03 → 2014/11/07

UN SDGs

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

SDG 16 Peace, Justice and Strong Institutions

Keywords

Cyber crime
Phishing threat detection
Web security

ASJC Scopus subject areas

Software
Computer Networks and Communications

Access to Document

10.1145/2660267.2662362

Cite this

Proactive blacklist update for anti-phishing. / Lee, Lung Hao; Lee, Kuei Ching; Chen, Hsin Hsi et al.
Proceedings of the ACM Conference on Computer and Communications Security. Association for Computing Machinery, 2014. p. 1448-1450 (Proceedings of the ACM Conference on Computer and Communications Security).

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

Lee, LH, Lee, KC, Chen, HH & Tseng, YH 2014, Proactive blacklist update for anti-phishing. in Proceedings of the ACM Conference on Computer and Communications Security. Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 1448-1450, 21st ACM Conference on Computer and Communications Security, CCS 2014, Scottsdale, United States, 2014/11/03. https://doi.org/10.1145/2660267.2662362

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title = "Proactive blacklist update for anti-phishing",

abstract = "This study explores the existing blacklists to discover suspected URLs that refer to on-the-fly phishing threats in real time. We propose a PhishTrack framework that includes redirection tracking and form tracking components to update the phishing blacklists. It actively finds phishing URLs as early as possible. Experimental results show that our proactive phishing update method is an effective and efficient approach for improving the coverage of the blacklists. In practice, our solution is complementary to the existing anti-phishing techniques for providing secured web surfing. Copyright is held by the owner/author(s).",

keywords = "Cyber crime, Phishing threat detection, Web security",

author = "Lee, \{Lung Hao\} and Lee, \{Kuei Ching\} and Chen, \{Hsin Hsi\} and Tseng, \{Yuen Hsien\}",

year = "2014",

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series = "Proceedings of the ACM Conference on Computer and Communications Security",

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AB - This study explores the existing blacklists to discover suspected URLs that refer to on-the-fly phishing threats in real time. We propose a PhishTrack framework that includes redirection tracking and form tracking components to update the phishing blacklists. It actively finds phishing URLs as early as possible. Experimental results show that our proactive phishing update method is an effective and efficient approach for improving the coverage of the blacklists. In practice, our solution is complementary to the existing anti-phishing techniques for providing secured web surfing. Copyright is held by the owner/author(s).

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KW - Phishing threat detection

KW - Web security

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UR - https://www.scopus.com/pages/publications/84910674447#tab=citedBy

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M3 - Conference contribution

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T3 - Proceedings of the ACM Conference on Computer and Communications Security

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BT - Proceedings of the ACM Conference on Computer and Communications Security

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ER -

Proactive blacklist update for anti-phishing

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this