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Deception based Android Malware detection Providing systems for different governments, MSI may need to propose specific services in the security domain. As a matter of fact just detecting/removing malwares may not be enough. There is a need to detect and track the malwares to know its origin and in what data it is interested in. This can be done using deception techniques. The project steps will be: Recommended background: Android development , Java , C++ For : 2-3 Students.

Application Crawler using ELK stack Modeling user behavior: collect options for user inputs and screens (UI) while running application on device, save this information on database and use it to run random test use cases to find abnormal behaviour such as crushes, reboot etc... Recommended background: Android development , Java , C++ Technologies: Android , ELK stack ,AWS For : 2 Students.

FOTA over AWS Cloud Use Amazon AWS S3 storage to update device images by developing cloud solution that will update FW/Applications on device based on parameters that it will get from device, the implementation will be done both on cloud and device base on Amazon AWS SDK. Recommended background: Android development , Java , C++ Technologies: Android ,AWS , Web development. For : 2 Students.