发明名称 COLLABORATIVE LEARNING FOR EFFICIENT BEHAVIORAL ANALYSIS IN NETWORKED MOBILE DEVICE
摘要 Methods, systems and devices for classifying mobile device behaviors of a first mobile device may include the first mobile device monitoring mobile device behaviors to generate a behavior vector, and applying the behavior vector to a first classifier model to obtain a first determination of whether a mobile device behavior is benign or not benign. The first mobile device may also send the behavior vector to a second mobile device, which may receive and apply the behavior vector to a second classifier model to obtain a second determination of whether the mobile device behavior is benign or not benign. The second mobile device may send the second determination to the first mobile device, which may receive the second determination, collate the first determination and the second determination to generate collated results, and determine whether the mobile device behavior is benign or not benign based on the collated results.
申请公布号 WO2013173044(A3) 申请公布日期 2014.07.03
申请号 WO2013US38414 申请日期 2013.04.26
申请人 QUALCOMM INCORPORATED 发明人 GATHALA, ANIL;GUPTA, RAJARSHI
分类号 G06N5/04 主分类号 G06N5/04
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