Hunting Brand Domain Forgery: A Scalable Classification for Homograph Attack-Reference-Cited by-同舟云学术

Hunting Brand Domain Forgery: A Scalable Classification for Homograph Attack

Published:2019 Issue: Volume: Page:3-18
ISSN:1868-4238
Container-title:ICT Systems Security and Privacy Protection
language:
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Author:

Thao Tran Phuong,Sawaya Yukiko,Nguyen-Son Hoang-Quoc,Yamada Akira,Omote Kazumasa,Kubota Ayumu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-22312-0_1

Reference17 articles.

1. Gabrilovic, E., Gontmakher, A.: The homograph attack. Commun. ACM 45(2), 128 (2002)

2. Xudong, Z.: Phishing with Unicode Domains (2017). https://www.xudongz.com/blog/2017/idn-phishing/?_ga=2.53371112.1302505681.1542677803-1987638994.1542677803

3. IDN World Report: Internationalised Domains show negative growth in 2017. https://idnworldreport.eu/

4. Idn-homograph-attack. https://github.com/timofurrer/idn-homograph-attack

5. EvilURL. https://github.com/UndeadSec/EvilURL

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2. Boosting Homograph Attack Classification Using Ensemble Learning and N-Gram Model;2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2020-12

3. Enhancing A New Classification for IDN Homograph Attack Detection;2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2020-08

4. DomainScouter: Analyzing the Risks of Deceptive Internationalized Domain Names;IEICE Transactions on Information and Systems;2020-07-01

5. Human Factors in Homograph Attack Recognition;Applied Cryptography and Network Security;2020