This blog post covers how Google uses machine learning techniques to detect and classify PHAs. We’ll discuss the challenges in the PHA detection space, including the scale of data and the correct identification of PHA behaviors. We will also present some of the approaches we use, including logistic regression and deep neural networks, to help us detect PHAs faster and at a larger scale. The quality and quantity of the data used to create a model are crucial to the success of the system. Google Play Protect analyzes every app that it can find on the internet.”]
Source: https://security.googleblog.com/2018/11/combating-potentially-harmful_14.html