公开(公告)号：US10448356B1

公开(公告)日：2019-10-15

申请号：US16370958

申请日：2019-03-30

Applicant: Avast Software s.r.o.

Inventor： Juyong Do ,  Rajarshi Gupta ,  Leo H. Kwong

IPC: H04W8/24 ,  H04W64/00 ,  H04W4/029 ,  H04B17/318

Abstract: A location anomaly for a mobile device can be detected using non-location information from the mobile device. The non-location information does not include data from a location based device, such as a GPS. A probabilistic model is created using historical non-location information accumulated from the mobile device. Current non-location data is compared with the probabilistic model to determine a probability associated with the current non-location information. If the probability is less than a predetermined or configurable threshold, a location anomaly is detected. A notification of the location anomaly may be displayed and/or transmitted in response to detecting the location anomaly.

公开(公告)号：US20190306826A1

公开(公告)日：2019-10-03

申请号：US16370958

申请日：2019-03-30

Applicant: Avast Software s.r.o.

Inventor： Juyong Do ,  Rajarshi Gupta ,  Leo H. Kwong

IPC: H04W64/00 ,  H04W8/24 ,  H04B17/318 ,  H04W4/029

Abstract: A location anomaly for a mobile device can be detected using non-location information from the mobile device. The non-location information does not include data from a location based device, such as a GPS. A probabilistic model is created using historical non-location information accumulated from the mobile device. Current non-location data is compared with the probabilistic model to determine a probability associated with the current non-location information. If the probability is less than a predetermined or configurable threshold, a location anomaly is detected. A notification of the location anomaly may be displayed and/or transmitted in response to detecting the location anomaly.