公开(公告)号：EP3901803A1

公开(公告)日：2021-10-27

申请号：EP21179610.7

申请日：2014-06-23

Applicant: Microsoft Technology Licensing, LLC

Inventor： PFEIFER, William, Jr. ,  SOOD, Nitin ,  BLACKBIRD, Joseph Carl Nelson

IPC: G06F21/56 ,  H04W12/128 ,  H04L29/06 ,  G06Q50/00 ,  G06Q30/06

Abstract: Embodiments are directed to determining a risk of encountering malware based on social context, to determining malware threats based on social associations and to ranking antimalware programs according to the program's ability to protect against specific threats. In one scenario, a computer system receives a malware notification associated with a user that identifies a type of malware encountered by the user. The computer system identifies various persons that are part of a social group associated with the user and determines that at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware, based on information derived from identifying the persons that are part of the social group. Optionally, the computer system notifies the identified persons of the increased likelihood of encountering the identified type of malware.

公开(公告)号：EP3014840A1

公开(公告)日：2016-05-04

申请号：EP14740071.7

申请日：2014-06-23

Applicant: Microsoft Technology Licensing, LLC

Inventor： PFEIFER, William, Jr. ,  SOOD, Nitin ,  BLACKBIRD, Joseph Carl Nelson

IPC: H04L29/06

CPC classification number: H04L63/1433 ,  H04L63/1416 ,  H04L63/145

Abstract: Embodiments are directed to determining a risk of encountering malware based on social context, to determining malware threats based on social associations and to ranking antimalware programs according to the program's ability to protect against specific threats. In one scenario, a computer system receives a malware notification associated with a user that identifies a type of malware encountered by the user. The computer system identifies various persons that are part of a social group associated with the user and determines that at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware, based on information derived from identifying the persons that are part of the social group. Optionally, the computer system notifies the identified persons of the increased likelihood of encountering the identified type of malware.