Phishing Detection and Prevention using Chrome Extension

Author:

Syafiq Rohmat Rose M. Amir1,Basir Nurlida2,Nabila Rafie Heng Nur Fatin2,Juana Mohd Zaizi Nurzi2,Saudi Madihah Mohd2

Affiliation:

1. Mutiara iTech Sdn Bhd,Software Development Team,Selangor,Malaysia

2. Universiti Sains Islam Malaysia,Fakulti Sains dan Teknologi,Nilai,Negeri Sembilan,Malaysia,71800

Funder

Universiti Sains Islam Malaysia

Publisher

IEEE

Reference20 articles.

1. Phishing web site detection using diverse machine learning algorithms

2. 2020 Data Breach Investigations Report, Executive Summary;verizon,2020

3. Phishing Detection: A Literature Survey

4. Netcraft browser extension for Chrome, Firefox, Edge and Opera,2021

5. Anti-Phishing Immune System

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1. Enhancing Cybersecurity: A Comprehensive Analysis of Machine Learning Techniques in Detecting and Preventing Phishing Attacks with a Focus on Xgboost Algorithm;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

2. Enhancing Web Monitoring: An Open-Source Solution for Real-Time Detection and Alerts;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

3. A Holistic Review on Detection of Malicious Browser Extensions and Links using Deep Learning;2024 IEEE 3rd International Conference on AI in Cybersecurity (ICAIC);2024-02-07

4. Detection of Malicious URL Websites using Machine Learning Models;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06

5. MalAware: A Tool for Safe Internet Browsing;Proceedings of the 9th IRC Conference on Science, Engineering, and Technology;2023

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