HumanBoost: Utilization of Users’ Past Trust Decision for Identifying Fraudulent Websites

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.net/journal/jilsa
E-mail: [email protected]

Citations

"HumanBoost: Utilization of Users’ Past Trust Decision for Identifying Fraudulent Websites"
written by Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobayashi,
published by Journal of Intelligent Learning Systems and Applications, Vol.2 No.4, 2010

has been cited by the following article(s):

[1]	Methods and Means of Identifying Fraudulent Websites
	2020

[2]	Methods and Means of Identifying Fraudulent Websites.
	COAPSN, 2020

[3]	PhishCage: reproduction of fraudulent websites in the emulated internet.
	2013

[4]	PhishCage: reproduction of fraudulent websites in the emulated internet
	Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, 2013

[5]	Behind HumanBoost: Analysis of Users' Trust Decision Patterns for Identifying Fraudulent Websites
	Journal of Intelligent Learning Systems and Applications, 2012

[6]	3-3 S tudies on Countermeasures for Thwarting Spoofing Attacks—Cases of IP Address Spoofing and Web Spoofing—
	2011

[7]	Detection and prevention of phishing attack using dynamic watermarking
	Information Technology and Mobile Communication, 2011

[8]	3-3 Studies on Countermeasures for Thwarting Spoofing Attacks- Cases of IP Address Spoofing and Web Spoofing
	Journal of the National Institute of Information and Communications Technology, 2011

Top

[1]	Behind HumanBoost: Analysis of Users’ Trust Decision Patterns for Identifying Fraudulent Websites Journal of Intelligent Learning Systems and Applications, 2012 DOI:10.4236/jilsa.2012.44033