Analyse Statique Pour La Détection Des Malwares Dans Android Basée Sur Les Permissions

Résumé: Abstract: Nowadays, smartphone devices are an integral part of our lives since they enable us to access a large variety of services from personal to banking.The most widely used system on these devices, accounting for nearly 80% of the global smartphone market share, is Android.In parallel with its widespread adoption, the system has also become the target of ever-increasing amounts of malware, which has stimulated research related to the analysis and detection of Android malware. We present a method for detecting malicious Android applications through machine learning techniques using static analysis of permissions extracted from the Manifest file of mobile applications. We classify these applications into two classifications: one by a binary classification, i.e. malware or begnin; the other by the malware category.After analyzing the results, we obtained satisfying results in terms of accuracy.

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