Fixes Malware Detection #702
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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review! |
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@Varunshiyam add proper readme file |
SaiNivedh26
suggested changes
Nov 1, 2024
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@SaiNivedh26 @UppuluriKalyani I had added up a Readme File , Kindly review it. |
UppuluriKalyani
approved these changes
Nov 1, 2024
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@Varunshiyam why did you deleted the file? |
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🎉🎉 Thank you for your contribution! Your PR #702 has been merged! 🎉🎉 |
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Related Issues or bug
This project demonstrates the use of deep learning for malware detection on Android devices. The dataset, containing behavioral characteristics of both benign and malware apps, is analyzed and preprocessed. Feature selection is performed to identify the most relevant attributes. A deep neural network is then constructed and trained using an Adam optimizer and sparse categorical cross-entropy loss. The model's performance is evaluated and visualized, showing high accuracy in classifying malware. Further training with an SGD optimizer is applied to potentially enhance the model's performance. This project highlights the effectiveness of deep learning in identifying malicious software based on behavioral patterns.
Fixes: #701
Proposed Changes
Added up a Project File in the format of .ipynb with detailed Comments for easy Understanding