Situational awareness framework for threat intelligence measurement of android malware

With the development of the Internet of Things (IoT) technology, various devices are connected to the network. The availability of mobile devices is increasing to remotely control these electronic products. As the importance of mobile devices increases, operating systems such as Android OS and iOS are targeted for cyber attacks. In addition, mobile devices are used to manage business data as well as private areas, including text messages and contacts, so the risk of attack is also increasing. This paper proposes threat intelligence evaluation for mobile malware from the viewpoint of situational awareness by extracting features that can detect Android malware using machine learning algorithms.