Information Leakage Detection and Risk Assessment of Intelligent Mobile Devices

(1) Background: Smart mobile devices provide conveniences to people’s life, work, and entertainment all the time. The basis of these is data exchange across entire cyberspace, privacy leakage has become focus attention. (2) Methods: First, we used method directed information flow conduct an API test for applications in application market, then obtained transmission. Second, by using tablet computers, smart phones, bracelets as research objects, taking scores senior users on selected indicators original data, fusion entropy Markov chain algorithm skillfully build a risk assessment mode obtain steady-state probability values different categories each device, three devices. (3) Results: Tablet computers have largest leakage, followed phones. (4) Conclusions: This paper compares situation category puts forward simple avoidance opinions, which might lay theoretical foundation subsequent protection strategies, image steganography, device security improvements.