DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING

S Valleri - 2023 - scholarworks.lib.csusb.edu
The term phishing is mainly defined as impersonating activities with the site which is used by
hackers to steal personal as well as professional data and information. The personal data …

Detection of Phishing Websites Using Machine Learning

R Kumar, R Kumar, RK Sahu, R Patra… - … Conference on Soft …, 2022 - Springer
In the cyber-world, phishing attack is increasing rapidly and is a major matter of concern,
which is resulting in losing large amount of money of Internet users every year. Our study on …

[PDF][PDF] A Machine Learning Approach to Identify Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques.

BK Gontla, P Gundu, PJ Uppalapati… - EAI Endorsed …, 2023 - academia.edu
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …

A Machine Learning based Approach to Detect Phishing Attack

N Jain, P Jaiswal, S Sharma, K Sharma… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Phishing is a well-known cybercrime that is increasing rapidly day by day. Phishing involves
sending emails with suspicious links or their attachments that can accomplish a number of …

Detecto: The Phishing Website Detection

A Prajapati, J Kukade, A Shukla, A Jhawar… - … Conference on Data …, 2023 - Springer
Phishing attacks are among the most prevalent types of cybercrime that target people and
businesses globally. Phishing websites mimic real websites to obtain sensitive data of users …

Phishing website detection from URLs using classical machine learning ANN model

S Salloum, T Gaber, S Vadera, K Shaalan - International Conference on …, 2021 - Springer
Phishing is a serious form of online fraud made up of spoofed websites that attempt to gain
users' sensitive information by tricking them into believing that they are visiting a legitimate …

A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques

PJ Uppalapati, BK Gontla, P Gundu… - EAI Endorsed …, 2023 - publications.eai.eu
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …

Phishing URL Detection and Reporting System Using Machine Learning Approach

D Aman, JK Reddy, BM Sai… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Phishing attacks continue to pose a threat to the internet users due to the consequences
they bring, including the compromise of sensitive information, financial harm and …

[PDF][PDF] Detection of phishing websites using machine learning techniques

AV Bhagyashree, AK Koundinya - Int. J. Comput. Sci., Inf. Secur, 2020 - academia.edu
With the developing interaction of the Internet and public activity, the Internet is taking a
gander at how individuals learn and work, however it likewise opens us to raising genuine …

Viable Detection of URL Phishing using Machine Learning Approach

MS Kumari, CK Priya, G Bhavya, H Neha… - E3S Web of …, 2023 - e3s-conferences.org
The objective of paper is to detect phishing URLs using machine learning algorithms.
Phishing is a fraudulent activity that involves tricking users into giving away sensitive …