Abstract: A contact information database, including records such as those stored in a personal address book, is applied to evaluate the reputation of a user and/or conduct fraud or spam detection. A number of different factors selected for reputation/fraud prediction value can be used in a statistical model to evaluate reputation of an individual based on an identifier, such as an email address. The factors can include information useful in predicting the reputation of an individual, such as in how many address books the email address or other information appears, whether emails have been previously sent to that email address, whether any such emails have been returned as undeliverable, and so forth. These factors can be used to create a vector including scores for the user on the various factors, which can be stored in a vector database and updated regularly as the information changes. The information in the vector database can be accessed by parties for use in reputation evaluation, fraud detection, etc.

Abstract: A contact information database, including records such as those stored in a personal address book, is applied to evaluate the reputation of a user and/or conduct fraud or spam detection. A number of different factors selected for reputation/fraud prediction value can be used in a statistical model to evaluate reputation of an individual based on an identifier, such as an email address. The factors can include information useful in predicting the reputation of an individual, such as in how many address books the email address or other information appears, whether emails have been previously sent to that email address, whether any such emails have been returned as undeliverable, and so forth. These factors can be used to create a vector including scores for the user on the various factors, which can be stored in a vector database and updated regularly as the information changes. The information in the vector database can be accessed by parties for use in reputation evaluation, fraud detection, etc.

Abstract: Apparati, methods, and computer readable media for authenticating an entity (9) in a shared hosting computer network (4) environment. A service provider computer (2) contains a plurality of entity sites (5). Connected to the service provider computer (2), a trusted third party computer (1) is adapted to provide a conglomerated authenticity certification to the service provider computer (2). Coupled to the trusted third party computer (1) is a means (10) for enabling an entity (9) to seek to convert the conglomerated authenticity certification into an individualized authenticity certification covering that entity's site (5).

Abstract: Apparati, methods, and computer readable media for authenticating an entity (9) in a shared hosting computer network (4) environment. A service provider computer (2) contains a plurality of entity sites (5). Connected to the service provider computer (2), a trusted third party computer (1) is adapted to provide a conglomerated authenticity certification to the service provider computer (2). Coupled to the trusted third party computer (1) is a means (10) for enabling an entity (9) to seek to convert the conglomerated authenticity certification into an individualized authenticity certification covering that entity's site (5).