The foremost protection mechanisms in android beside malicious apps are a hazard communication mechanism which, afore a user installs an app, notifies the user around the permissions the app requires, believing that the user will make the correct assessment. This method has been exposed to be hopeless as it presents the hazard information of each app in a “stand-alone” approach and in a way that needs plentiful technical knowledge and time to distill useful information. We converse the preferred properties of risk signals and comparative risk scores for Android apps in order to cause additional metric that users can utilize when picking apps. We present an extensive choice of techniques to generate both risk signals and risk scores that are established on heuristics as well as honorable machine learning techniques.