Feature detection and security evaluation of mobile phone based on decision tree
Zhimin Guo, Zhuo Lv, Boyang Zhou, Cen Chen · 2017
Mobile phone unauthorized employment has been the most important reason of mobile security threat, but there is little method to protect mobile from stranger using. To solve this problem, we propose a mobile feature detection method based on decision tree, which can judge whether the user is legal by analyzing the user's feature and comparing with legal user's feature. It can prevent illegal user to make use of mobile and avoid theft happening. Experiments prove that the technique we propose in this article can successfully determine the users of mobile and avoid mobile unauthorized employment.