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 …

Comparative analysis of features based machine learning approaches for phishing detection

AK Jain, BB Gupta - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Machine learning based anti-phishing techniques are based on various features extracted
from different sources. These features differentiate a phishing website from a legitimate one …

Phishing attacks detection using machine learning and deep learning models

M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

Feature selections for the machine learning based detection of phishing websites

E Buber, Ö Demir, OK Sahingoz - 2017 international artificial …, 2017 - ieeexplore.ieee.org
Phishing websites are malicious sites which impersonate as legitimate web pages and they
aim to reveal users important information such as user id, password, and credit card …

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 …

A hybrid model to detect phishing-sites using supervised learning algorithms

MAUH Tahir, S Asghar, A Zafar… - 2016 International …, 2016 - ieeexplore.ieee.org
Since last decades, online technologies have revolutionized the modern computing world.
However, as a result, security threats are increasing rapidly. A huge community is using the …

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 novel machine learning approach to detect phishing websites

I Tyagi, J Shad, S Sharma, S Gaur… - 2018 5th International …, 2018 - ieeexplore.ieee.org
Phishing can be described as a way by which someone may try to steal some personal and
important information like login id's, passwords, and details of credit/debit cards, for wrong …

Detection and prevention of phishing websites using machine learning approach

V Patil, P Thakkar, C Shah, T Bhat… - … control and automation …, 2018 - ieeexplore.ieee.org
Phishing costs Internet user's lots of dollars per year. It refers to exploiting weakness on the
user side, which is vulnerable to such attacks. The phishing problem is huge and there does …

Phishing websites detection through supervised learning networks

P Singh, YPS Maravi, S Sharma - … international conference on …, 2015 - ieeexplore.ieee.org
Phishing is an unlawful activity of making gullible people to reveal their insightful information
into fake websites. The Aim of these phishing websites is to acquire confidential information …