Phishing emails detection using CS-SVM

W Niu, X Zhang, G Yang, Z Ma… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Phishing attacks are common online, which have resulted in financial losses through using
either malware or social engineering. Thus, phishing email detection with high accuracy has …

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 …

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 …

An empirical investigation of the effect of target-related information in phishing attacks

WR Flores, H Holm, M Nohlberg… - 2014 IEEE 18th …, 2014 - ieeexplore.ieee.org
Analyzing the role of target-related information in a security attack is an understudied topic in
the behavioral information security research field. This paper presents an empirical …

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 …

Phishzoo: Detecting phishing websites by looking at them

S Afroz, R Greenstadt - 2011 IEEE fifth international conference …, 2011 - ieeexplore.ieee.org
Phishing is a security attack that involves obtaining sensitive or otherwise private data by
presenting oneself as a trustworthy entity. Phishers often exploit users' trust on the …

A hybrid system to find & fight phishing attacks actively

H Bo, W Wei, W Liming, G Guanggang… - 2011 IEEE/WIC/ACM …, 2011 - ieeexplore.ieee.org
Traditional anti-phishing methods and tools always worked in a passive way to receive
users' submission and determine phishing URLs. Usually, they are not fast and efficient …

A content-based phishing email detection method

H Che, Q Liu, L Zou, H Yang, D Zhou… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Phishing emails have affected users seriously due to the enormous increasing in numbers
and exquisite camouflage. Users spend much more effort on distinguishing the email …

Detecting phishing websites and targets based on URLs and webpage links

H Yuan, X Chen, Y Li, Z Yang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
In this paper, we propose to extract features from URLs and webpage links to detect
phishing websites and their targets. In addition to the basic features of a given URL, such as …

Deep learning for phishing detection

W Yao, Y Ding, X Li - 2018 IEEE Intl Conf on Parallel & …, 2018 - ieeexplore.ieee.org
Phishing attacks have caused significant damage to society. With the popularity of two-
dimensional codes, a new type of phishing method called two-dimensional code phishing …