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DETEKSI MALWARE ANDROID DENGAN METODE REVERSE ENGINEERING
Smartphones used by everyone are connected to the internet at all times. A user is unaware of how much data they store and display while using various applications. With the increasing number of Android users over time, Android has become a target for cybercriminals, leading to an increase in malware attacks on these devices. Reverse engineering is the most crucial approach in analyzing malware; this technique can extract comprehensive information needed to analyze the logic flow of the application. This study will perform reverse engineering and validate it with dynamic analysis using an Android emulator on several samples from the public malware repository Malware Bazaar. The research results show that malware often disguises itself as useful or normal applications to deceive users. Furthermore, malware requests several permissions from the system that should not be required by the application. These permissions are typically exploited to steal, alter, and even delete sensitive data, as well as to spy on users.
| Title | Edition | Language |
|---|---|---|
| DETEKSI MALWARE ANDROID MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN) | id |