SECURITY RISK SCORE DETERMINATION FOR FRAUD DETECTION AND REPUTATION IMPROVEMENT
A technique allows a system to determine online user activity for a user associated with a user client device. The online user activity includes private content, publicly available content and content shared to a social group related to the user. The system determines a social behavior risk score, a social score, and a security risk score for the user and the content they share with others, and provides one or more recommendations to the user in response to determining the social behavior risk score and the security risk score for the user.
1 . A machine readable medium, on which are stored instructions, comprising instructions that when executed cause a machine to:
determine online user activity for a user;
determine a social behavior score and a security risk score for the user; and
provide one or more recommendations to the user responsive to the determining of the social behavior and the security risk scores for the user;
wherein the online user activity includes private content and publicly available content about the user.
2 . The machine readable medium of claim 1 , wherein the instructions that when executed cause the machine to determine online user activity comprise instructions that when executed cause the machine to analyze content on a social networking site associated with an account of the user.
3 . The machine readable medium of claim 1 , wherein the instructions further comprise instructions that when executed cause the machine to:
determine online activity of peer groups related to the user; and
determine social trends for the online activity.
4 . The machine readable medium of claim 3 , wherein the instructions further comprise instructions that when executed cause the machine to determine whether the online user activity is high risk or low risk with respect to at least one of the peer groups and to an immediate social network of the user responsive to determining the security risk score.
5 . The machine readable medium of claim 1 , wherein the instructions further comprise instructions that when executed cause the machine to provide the security risk score to a malware engine for malware scanning of a user device associated with the user responsive to the determining of the security risk score.
6 . The machine readable medium of claim 1 , wherein the instructions further comprise instructions that when executed cause the machine to provide user activity that generated the security risk score responsive to the determining of the security risk score.
7 . The machine readable medium of claim 1 , wherein the instructions that when executed cause the machine to provide recommendations further comprise instructions that when executed cause the machine to provide information related to user activity related to the security risk score.
8 . The machine readable medium of claim 1 , wherein the instructions further comprise instructions that when executed cause the machine to monitor real-time user-generated content on a user device associated with the user.
9 . The machine readable medium of claim 8 , wherein the instructions further comprise instructions that when executed cause the machine to display a user interface to provide alerts on the user device responsive to the real-time monitoring of the user-generated content.
10 . The machine readable medium of claim 1 , wherein the instructions further comprise instructions that when executed cause the machine to determine at least one of whether the user-generated content that is shared to a second person will be leaked by the second person to others; and determine the risk to the user based on the leak by the second person.
11 . A computer system for a security risk profile of a user, comprising:
one or more processors; and
a memory coupled to the one or more processors, on which are stored instructions, comprising instructions that when executed cause one or more of the processors to:
determine online user activity for the user;
determine a social behavior score and a security risk score for the user; and
provide one or more recommendations to the user responsive to the determining of the social behavior and the security risk scores for the user;
wherein the online user activity includes private content and publicly available content about the user.
12 . The computer system of claim 11 , wherein the instructions to determine online user activity comprise instructions that when executed cause the one or more processors to analyze content on a social networking site associated with an account of the user.
13 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to:
determine online activity of peer groups related to the user; and
determine social trends for the online activity.
14 . The computer system of claim 13 , wherein the instructions further comprise instructions that when executed cause the one or more processors to determine whether the online user activity is high risk or low risk with respect to the peer groups and to an immediate social network of the user responsive to determining the security risk score.
15 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to provide the security risk score to a malware engine for malware scanning of a user device associated with the user responsive to the determining of the security risk score.
16 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to provide user activity that generated the security risk score responsive to the determining of the security risk score.
17 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to monitor real-time user-generated content on a user device associated with the user.
18 . The computer system of claim 17 , wherein the instructions further comprise instructions that when executed cause the one or more processors to display a user interface to provide alerts on the user device responsive to the real-time monitoring of the user-generated content.
19 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to provide information about user activity related to the security risk score.
20 . The computer system of claim 11 , wherein the instructions further comprise instructions that when executed cause the one or more processors to determine at least one of whether the user-generated content that is shared to a second person will be leaked by the second person to others; and determine the risk to the user based on the leak by the second person.
21 . A method for a security risk profile of a user, comprising:
determining by a cloud service online user activity for the user;
determining by the cloud service a social behavior score and a security risk score for the user; and
providing by the cloud service one or more recommendations to the user responsive to the determining of the social behavior and the security risk scores for the user;
wherein the online user activity includes private content and publicly available content about the user.
22 . The method of claim 21 , further comprising checking a social networking site associated with an account of the user.
23 . The method of claim 21 , further comprising:
determining online activity of peer groups related to the user; and
determining social trends for the online activity.
24 . The method of claim 23 , further comprising determining whether the online user activity is high risk or low risk with respect to the peer groups responsive to determining the security risk score.
25 . The method of claim 21 , further comprising providing the security risk score to a malware engine responsive to the determining of the security risk score, wherein the malware engine is configured for malware scanning of a user device associated with the user.