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: 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 …

Know your phish: Novel techniques for detecting phishing sites and their targets

S Marchal, K Saari, N Singh… - 2016 IEEE 36th …, 2016 - ieeexplore.ieee.org
Phishing is a major problem on the Web. Despite the significant attention it has received
over the years, there has been no definitive solution. While the state-of-the-art solutions …

Fresh-phish: A framework for auto-detection of phishing websites

H Shirazi, K Haefner, I Ray - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Denizens of the Internet are coming under a barrage of phishing attacks of increasing
frequency and sophistication. Emails accompanied by authentic looking websites are …

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 …

An effective neural network phishing detection model based on optimal feature selection

E Zhu, C Ye, D Liu, F Liu, F Wang… - 2018 IEEE Intl Conf on …, 2018 - ieeexplore.ieee.org
As a common means to obtain user privacy information, phishing poses a big threat to
people's daily network environment. The detection and prevention the threats of phishing …

A comparative analysis and awareness survey of phishing detection tools

H Sharma, E Meenakshi… - 2017 2nd IEEE …, 2017 - ieeexplore.ieee.org
Phishing is a kind of attack in which phishers use spoofed emails and malicious websites to
steal personal information of people. Nowadays various tools are freely available to detect …

Phishmon: A machine learning framework for detecting phishing webpages

A Niakanlahiji, BT Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Despite numerous research efforts, phishing attacks remain prevalent and highly effective in
luring unsuspecting users to reveal sensitive information, including account credentials and …

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 …

URL based gateway side phishing detection method

J Zhang, Y Pan, Z Wang, B Liu - 2016 IEEE Trustcom …, 2016 - ieeexplore.ieee.org
Phishing attack has become the most dangerous form of fraud to hit online and mobile
businesses. In this paper, we reveal some new aspects of the common features that appear …