Towards collecting and linking personal information for complete personal online identity modelling

Abstract

Online identities of users are fragmented amongst multiple websites and online applications (service providers). These identity fragments will contain critical personally identifiable information. Very often, a user is unaware that their personal information is stored by a service provider. In this paper we describe a model – Personal Information Collection and Collation (PICoCo) – used to assemble identity fragments of users and form a complete identity model of a natural person. The ultimate goal is to allow service providers to verify incoming data, but also for a user to discover where their data is being stored. The description of PICoCo includes collection, classification, collation, validation, verification, and discovery.