Boosting the phishing detection performance by semantic analysis

X Zhang, Y Zeng, XB Jin, ZW Yan… - 2017 ieee international …, 2017 - ieeexplore.ieee.org
Phishing is increasingly severe in recent years, which seriously threatens the privacy and
property security of netizens. Phishing is essentially a counterfeiting of brands. In order to …

PhishBox: An approach for phishing validation and detection

JH Li, SD Wang - 2017 IEEE 15th Intl Conf on Dependable …, 2017 - ieeexplore.ieee.org
In this paper, we propose an approach, called PhishBox, to effectively collect phishing data
and generate models for phishing validation and detection. The proposed approach …

Phishing detection based on newly registered domains

X Li, G Geng, Z Yan, Y Chen… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
Phishing is a security attack that involves the creation of websites that mimic legitimate
websites, and these fraud websites bring Internet users a lot of loss. Traditional anti-phishing …

Impact of security awareness training on phishing click-through rates

A Carella, M Kotsoev, TM Truta - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this paper we study the impact that security awareness training has on the people who
click on malicious links contained in phishing emails. Phishing is a criminal activity in which …

A proactive discovery and filtering solution on phishing websites

L Fang, W Bailing, H Junheng… - … Conference on Big …, 2015 - ieeexplore.ieee.org
Phishing website is becoming a major threat to the information security in Social Network.
The attacks not only lessen the users' trust but also influence the benefit of the third party …

Detecting phishing attacks using natural language processing and machine learning

T Peng, I Harris, Y Sawa - 2018 ieee 12th international …, 2018 - ieeexplore.ieee.org
Phishing attacks are one of the most common and least defended security threats today. We
present an approach which uses natural language processing techniques to analyze text …

Phishing email detection using robust nlp techniques

G Egozi, R Verma - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Even with many successful phishing email detectors, phishing emails still cost businesses
and individuals millions of dollars per year. Most of these models seem to ignore features …

Examination of data, rule generation and detection of phishing URLs using online logistic regression

MN Feroz, S Mengel - … Conference on Big Data (Big Data), 2014 - ieeexplore.ieee.org
Web services such as online banking, gaming, and social networking have rapidly evolved
as has the reliance upon them by people to perform everyday tasks. As a result, a large …

Visual similarity-based phishing detection without victim site information

M Hara, A Yamada, Y Miyake - 2009 IEEE Symposium on …, 2009 - ieeexplore.ieee.org
Phishing attacks, which steal users' account information by fake Websites, have become a
serious problem on theInternet. There are two major approaches in phishing detection: the …

Phishing detection: A recent intelligent machine learning comparison based on models content and features

N Abdelhamid, F Thabtah… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
In the last decade, numerous fake websites have been developed on the World Wide Web to
mimic trusted websites, with the aim of stealing financial assets from users and …