SmartGuard: Support Vector Machine(SVM)-Powered Defense Mechanism for Phishing Prevention

SmartGuard serves as a strong defense system against data breaches and financial risks from hackers by utilizing a range of machine learning algorithms, including Support Vector Machine (SVM). The proposed system involves a website that accepts URLs as input from users and employs various models to predict the legitimacy of the provided URL, distinguishing between legitimate and malicious websites. Additionally, users can input messages containing links for further analysis. Nowadays, many phishing links are received by people on WhatsApp and Emails. These links pretend to be genuine but in reality, are malicious. Clicking on this link can cause data or monetary loss to an individual. The proposed system also incorporates a client-side extension, and leverages many parameters to evaluate the authenticity of a website, protecting users from visiting potentially malicious sites. The integration of AI technologies and the user friendly interface make SmartGuard a robust tool against Phishing and other cyberattacks.

Authors

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882417
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
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article

SmartGuard: Support Vector Machine(SVM)-Powered Defense Mechanism for Phishing Prevention

A Arunkumar, Kundlik Adnan Khaleel, Yadav Abhishek Rambharat, Dev Ritesh Shelke et al.
Spam and Phishing Detection
article

SmartGuard: Support Vector Machine(SVM)-Powered Defense Mechanism for Phishing Prevention

A Arunkumar, Kundlik Adnan Khaleel, Yadav Abhishek Rambharat, Dev Ritesh Shelke, Deepa Ekhande
article en

Abstract

SmartGuard serves as a strong defense system against data breaches and financial risks from hackers by utilizing a range of machine learning algorithms, including Support Vector Machine (SVM). The proposed system involves a website that accepts URLs as input from users and employs various models to predict the legitimacy of the provided URL, distinguishing between legitimate and malicious websites. Additionally, users can input messages containing links for further analysis. Nowadays, many phishing links are received by people on WhatsApp and Emails. These links pretend to be genuine but in reality, are malicious. Clicking on this link can cause data or monetary loss to an individual. The proposed system also incorporates a client-side extension, and leverages many parameters to evaluate the authenticity of a website, protecting users from visiting potentially malicious sites. The integration of AI technologies and the user friendly interface make SmartGuard a robust tool against Phishing and other cyberattacks.

Openalex Percentile: Top 56%
Spam and Phishing Detection
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SmartGuard: Support Vector Machine(SVM)-Powered Defense Mechanism for Phishing Prevention — A Arunkumar, Kundlik Adnan Khaleel, et al. · (2024) | TGRS Research Map | TGRS