Android Malware Detection using Artificial Intelligence Project
Malware for Android is increasingly day by day and it is dangerous to mobile devices safety and data they hold. Machine Learning techniques is shown effective for detecting malware for Android. Android Malware is a malicious software that targets security holes in Android devices. Malware for android devices has potential to harm one’s financial situation as well they have access of personal information of user details.
Machine Learning is a well established field of computer science domain shown great promise for detecting android malware. Because the model they can recognize complex data patterns and learn from large dataset, machine learning algorithms are ideal for detecting android malware. In this Video i will show you Android Malware Detection using Machine Learning Project, In this project user have to gave input android Apk then model will detect that particular apk is affected with malicious or not.
The Android Malware Classifier is typically trained using a dataset that contains features extracted from both known malicious and benign apps. Features can include permissions requested by the app, API calls, file system access patterns, network behavior, and more. The classifier learns to recognize patterns in these features that are indicative of malicious behavior.
Malware Detection using Artificial Intelligence
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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