Results 121 to 130 of about 9,881 (133)

Detecting Phishing Website Using Machine Learning

2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), 2020
Trying to gather personal information through deceptive ways is becoming more common nowadays. In order to assist the user to be aware of the access to such websites, the implemented system notifies the user through email and also pop-up, when trying to access a phishing site.
Mohammed Hazim Alkawaz, Stephanie Joanne Steven, Asif Iqbal Hajamydeen   +2 more
openaire   +1 more source

Detecting Phishing Websites using Data Mining

2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2018
Phishing is one of the major cyber threats now, where the victims' credentials are obtained by an illegitimate website. This paper proposes a system which will detect old as well as newly generated phishing URLs that have completely no past behaviours to judge upon, using Data Mining.
Mehek Thaker, Mihir Parikh, Preetika Shetty, Vinit Neogi, Shree Jaswal   +4 more
openaire   +1 more source

AI-BASED PHISHING WEBSITE DETECTION

International Journal of Leading Research Publication
Phishing remains one of the most persistent and detrimental cyber threats in the modern digital landscape. Traditional defence mechanisms, such as blacklists and manual reporting, are critically ineffective against the rapid evolution and deployment of sophisticated, zero-day phishing sites.
Ravi Kumar Mahone -, Nishanshu Deshmukh -, Nishant Sahu -, Sahil Darokar -, Sangam jain -   +4 more
openaire   +1 more source

Phishing Website Detection Using Ensemble Learning

International Journal of Emerging Trends in Engineering Research, 2023
Phishing is also the most common type of data breach. As a result, it is carried out by sending an email with links that lead to fraudulent websites. This technique is especially targeted to large companies. Usually, the attackers send emails with work-related information. Machine learning is one of the most successful techniques for detecting phishing.
openaire   +1 more source

Phishing website detection fuzzy system modelling

2015 Science and Information Conference (SAI), 2015
This study investigates and identifies parameters in a single platform based on fuzzy system and neural network for phishing websites detection. The new approach utilizes Fuzzy systems, neural network with a set of parameters and a data set to detect phishing sites with high accuracy in real-time.
Phoebe Barraclough, Graham Sexton
openaire   +1 more source

IsItPhish: Dynamic Phishing Website Detection

2023 3rd International Conference on Intelligent Technologies (CONIT), 2023
Rhitik Doshi, Harsh Kothari, Khush Mehta, Pallavi Patil   +3 more
openaire   +1 more source

Phishing Website Detection as a Website Comparing Problem

SN Computer Science, 2022
Minh-Khoi Le-Nguyen, Tri-Chan-Hung Nguyen, Dinh-Thuan Le, Van-Hoa Nguyen, Long-Phuoc Tôn, Khuong Nguyen-An   +5 more
openaire   +1 more source

Phishing Website Detection and Classification

2022
D. Viji, Vaibhav Dixit, Vishal Jha
openaire   +1 more source

Deep Learning for Phishing Website Detection

2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022
Ksn Sushma, M. Jayalakshmi, Tapas Guha
openaire   +1 more source

Detecto: The Phishing Website Detection

2023
Ashish Prajapati, Jyoti Kukade, Akshat Shukla, Atharva Jhawar, Amit Dhakad, Trapti Mishra, Rahul Singh Pawar   +6 more
openaire   +1 more source