Behavioral Analysis of Android Riskware Families Using Clustering and Explainable Machine Learning
Mohammed M. Alani,
Moatsum Alawida
Abstract:The Android operating system has become increasingly popular, not only on mobile phones but also in various other platforms such as Internet-of-Things devices, tablet computers, and wearable devices. Due to its open-source nature and significant market share, Android poses an attractive target for malicious actors. One of the notable security challenges associated with this operating system is riskware. Riskware refers to applications that may pose a security threat due to their vulnerability and potential for… Show more
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