Pishing Website Detection Using Deep Learning

[sreevidya-16]

Is there an existing issue for this?

• [X] I have searched the existing issues

Feature Description

• Phishing website detection using deep learning leverages advanced neural network models to identify and block fraudulent websites designed to steal sensitive information, such as login credentials and personal data.
• These deep learning models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), analyze website attributes, URLs, and content to detect subtle patterns and anomalies indicative of phishing. By training on large datasets of legitimate and phishing websites, these models can achieve high accuracy in distinguishing between the two.
• Implementing deep learning-based detection systems enhances the ability to protect users from sophisticated phishing attacks and ensures robust online security.

@sanjay-kv sir, could you please assign me this issue under GSSOC'24

Use Case

To develop and deploy a deep learning-based system that accurately identifies and blocks phishing websites to protect users from cyber threats.

Benefits

No response

Add ScreenShots

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Priority

High

Record

• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

[github-actions[bot]]

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[github-actions[bot]]

Hello @sreevidya-16! Your issue #786 has been closed. Thank you for your contribution!