Constructing risk predictors for mobile device behaviour analytics

构建移动设备行为分析的风险预测器

• 批准号: 485070-2015
• 负责人: Heywood, Malcolm
• 金额: $ 1.82万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584702
• 关键词: Constructing; risk; predictors; mobile; device

Along with the significant growth in the popularity of mobile devices and the number of available mobile applications, the amount of malware that harm users or compromise their privacy has also dramatically increased. Smart mobile devices store a lot of personal information and, if stolen, the loss of control over the data is typically more important than the loss of the device. Thus, the proposed research aims to investigate risk predictors through the combination of available mobile device data in order to predict high risk usage as well as malicious activity of a smart mobile device.

沿着移动的设备的普及和可用的移动的 应用程序，伤害用户或损害其隐私的恶意软件数量也急剧增加， 增加智能移动的设备存储了大量的个人信息，如果被盗， 数据通常比设备的丢失更重要。因此，拟议的研究旨在调查风险 通过结合可用的移动终端数据来预测高风险使用， 智能移动终端的恶意活动。