摘要
针对存在敏感信息泄露的Android边信道,基于隐私信息关联对象进行分类分析;对主要攻击模型进行了分析总结,包括推测隐私信息的核心方法及各个推测攻击的应用场景;对针对边信道攻击的检测和抑制方法进行了总结,分析了现有防御机制存在的问题。最后,展望了边信道隐私推测攻击的发展和研究方向。
Android side channels may leak users＇ sensitive information. The existing Android side-channel attacks were analyzed and classified according to the type of the privacy-sensitive information with their inference models. The mainstream privacy inference approaches were analyzed and the deployed scenarios of these attacks were summarized. In addition, the mechanisms were discussed to detect or suppress the side-channel-based attacks and disclosed their limitations. Finally, the potential directions of research on side-channel-based privacy inference in Android systems were proposed.
作者
史福田
毛剑
刘建伟
SHI Futian;MAO Jian;LIU Jianwei(School of Electronic ＆ Information Engineering, B eihang University, Beijing 100191, China)
出处
《网络与信息安全学报》
2018年第4期12-21,共10页
Chinese Journal of Network and Information Security
基金
国家重点研发计划基金资助项目(No.2017YFB0802400)~~
