A methodical overview on phishing detection along with an organized way to construct an anti-phishing framework

S Patil, S Dhage - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
Phishing is a security attack to acquire personal information like passwords, credit card
details or other account details of a user by means of websites or emails. Phishing websites …

Smart phishing detection in web pages using supervised deep learning classification and optimization technique ADAM

L Lakshmi, MP Reddy, C Santhaiah… - Wireless Personal …, 2021 - Springer
Phishing is the process of portraying malignant web pages in the place of genuine web
pages to obtain important and delicate information from the end-user. Nowadays phishing is …

OFS-NN: an effective phishing websites detection model based on optimal feature selection and neural network

E Zhu, Y Chen, C Ye, X Li, F Liu - Ieee Access, 2019 - ieeexplore.ieee.org
Phishing attack is now a big threat to people's daily life and networking environment.
Through disguising illegal URLs as legitimate ones, attackers can induce users to visit the …

[HTML][HTML] Multi-scale semantic deep fusion models for phishing website detection

DJ Liu, GG Geng, XC Zhang - Expert Systems with Applications, 2022 - Elsevier
In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, and …

Catching transparent phish: Analyzing and detecting mitm phishing toolkits

B Kondracki, BA Azad, O Starov… - Proceedings of the 2021 …, 2021 - dl.acm.org
For over a decade, phishing toolkits have been helping attackers automate and streamline
their phishing campaigns. Man-in-the-Middle (MITM) phishing toolkits are the latest …

Intelligent feature selection model based on particle swarm optimization to detect phishing websites

TR Alsenani, SI Ayon, SM Yousuf, FBK Anik… - Multimedia Tools and …, 2023 - Springer
In the past ten years, due to the rapid growth of the Internet, a huge number of cyber-crimes
have been committed on the Internet. One of the crucial obstacles' user's encounters is the …

[PDF][PDF] The droid is in the details: Environment-aware evasion of android sandboxes

B Kondracki, BA Azad, N Miramirkhani… - Proceedings of the 29th …, 2022 - par.nsf.gov
For over a decade, phishing toolkits have been helping attackers automate and streamline
their phishing campaigns. Man-in-the-Middle (MITM) phishing toolkits are the latest …

Discovering HTTPSified phishing websites using the TLS certificates footprints

Y Sakurai, T Watanabe, T Okuda… - 2020 IEEE European …, 2020 - ieeexplore.ieee.org
With the recent rise of HTTPS adoption on the Web, attackers have begun" HTTPSifying"
phishing websites. HTTPSifying a phishing website has the advantage of making the …

Detection of phishing website using machine learning approach

MM Vilas, KP Ghansham… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Phishing is one kind of cyber-attack and at once, it is a most dangerous and common attack
to acquire personal information, account details, credit card details, organizational details or …

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 …