Abstract: A computer receives a request for protected user data with an access token presented by a client as authorization for the client to access the protected user data in a delegated environment. The computer parses the request to create a device fingerprint identifying the device submitting the request for the client. The computer compares the device fingerprint of the request to a previously stored device fingerprint of an authorized device associated with the access token. The computer automatically determines whether to identify the access token as potentially misappropriated based on the comparison of the device fingerprint of the request to the previously stored device fingerprint.

Abstract: A computer receives a request for protected user data with an access token presented by a client as authorization for the client to access the protected user data in a delegated environment. The computer parses the request to create a device fingerprint identifying the device submitting the request for the client. The computer compares the device fingerprint of the request to a previously stored device fingerprint of an authorized device associated with the access token. The computer automatically determines whether to identify the access token as potentially misappropriated based on the comparison of the device fingerprint of the request to the previously stored device fingerprint.

Abstract: A computer detects fraudulent access to user accounts of a network application. The computer receives user account usage profile information for a plurality of user accounts. Rules are determined, based in part on the user account profile information, that define account usage patterns across two or more user accounts that identify fraudulent user account usage. The computer receives user account usage event information for a plurality of user accounts. Based on the determined rules, the computer identifies fraudulent user account usage patterns in the user account usage event information and transmits a security alert to the user accounts associated with the identified fraudulent user account usage pattern.

Abstract: A computer detects fraudulent access to user accounts of a network application. The computer receives user account usage profile information for a plurality of user accounts. Rules are determined, based in part on the user account profile information, that define account usage patterns across two or more user accounts that identify fraudulent user account usage. The computer receives user account usage event information for a plurality of user accounts. Based on the determined rules, the computer identifies fraudulent user account usage patterns in the user account usage event information and transmits a security alert to the user accounts associated with the identified fraudulent user account usage pattern.

Abstract: Special interest subgroups are formed by a group of participants by establishing a profile for each participant. The profile defines contribution attributes dealing with contributions the profiled participant might make to a subgroup and attribution attributes dealing with benefits the profile participant might receive from participating in the subgroup. For each possible pairing of participants in the group, an overall contribution score and an overall benefit score is calculated for each participant. A mutual benefit score is calculated by combining the benefit scores for both participants in the pair. Participants are assigned to subgroups as a function of participant contribution and mutual benefit scores.

Abstract: Some embodiments include a computer-implemented method for controlling access to resources of a platform in a computer system. The method can comprise detecting a request to access a resource, wherein the resource resides in the computer system, and wherein the resource is associated with an owner; requesting a first resource access decision from a first policy decision unit associated with the owner; receiving, from the first policy decision unit, the first resource access decision and first trust information, wherein the first trust information indicates trust of a second policy decision unit; requesting a second resource access decision from the second policy decision unit associated with the virtual universe platform; receiving, from the second policy decision unit, a second resource access decision; and returning the second resource access decision.

Abstract: Special interest subgroups are formed by a group of participants by establishing a profile for each participant. The profile defines contribution attributes dealing with contributions the profiled participant might make to a subgroup and attribution attributes dealing with benefits the profile participant might receive from participating in the subgroup. For each possible pairing of participants in the group, an overall contribution score and an overall benefit score is calculated for each participant. A mutual benefit score is calculated by combining the benefit scores for both participants in the pair. Participants are assigned to subgroups as a function of participant contribution and mutual benefit scores.

Abstract: Some embodiments include a computer-implemented method for controlling access to resources of a platform in a computer system. The method can comprise detecting a request to access a resource, wherein the resource resides in the computer system, and wherein the resource is associated with an owner; requesting a first resource access decision from a first policy decision unit associated with the owner; receiving, from the first policy decision unit, the first resource access decision and first trust information, wherein the first trust information indicates trust of a second policy decision unit; requesting a second resource access decision from the second policy decision unit associated with the virtual universe platform; receiving, from the second policy decision unit, a second resource access decision; and returning the second resource access decision.