【摘要】 在今天开源的android手机越来越流行的同时,也有越来越多的木马、广告、隐私偷窥、扣费等恶意软件的出现困扰着用户。该文首先介绍了Android系统的构成,分析了android系统的安全机制和存在的安全隐患,并就关键的权限机制的相关研究进行了综述。文章提出利用机器学习中的朴素贝叶斯分类算法,对程序的权限进行建模分类检测,并进行了模拟实验。更多还原

【Abstract】 With open source Android being more popular,there is more and more malwares disturbing users,such as Trojan horse,advertisement,privacy steal,financial charge.The author first introduce the structure of Android,and analyse its security mechanism and potential flaw,and then summarize related research.Afterwards,based on android permission,the author put forward a model,of using machine learning,naive bayes,to detect android malware.In the end,experiments are conducted to verify the effect of model.更多还原