Leveraging Convolutional Neural Networks for Malware Detection: A Review of Techniques, Architectures, and Emerging Trends

With the modernization of the Internet and society, people often use some mobile phone applications to facilitate their lives. But since most of these apps require sensitive information from users, malware has been developed by malicious people to infect users' phones, especially on the Android platform. In order to detect whether a file after download is malware, this paper takes a static detection method. By decompiling and uncompressing the downloaded APK file, extracting the software rights