Identity Confidence Framework
An Identity Confidence Framework is a method for determining the confidence that each of various identity elements pertain to the same person.
1 . A method of storing identity elements suspected of belonging to a subject in a structured data model.
2 . The method of claim 1 , where the structured data model is a graph.
3 . The method of claim 2 , where the graph is an undirected graph.
4 . The method of claim 3 , where a single node (subject-node) is assigned to each subject.
5 . The method of claim 4 , where other nodes (element-nodes) are assigned to identity elements and are assigned a weight corresponding to confidence in the element's authenticity.
6 . The method of claim 5 , where each edge (binding-edge) between an element-node and a subject-node is assigned a weight corresponding to confidence that the element pertains to the given subject.
7 . The method of claim 6 , where each edge (link-edge) between an element-node and another element-node is assigned a weight corresponding to confidence that the two elements pertain to the same subject.
8 . The method of claim 7 , where an overall confidence is computed for each identity-element, based on other edge and node weightings in the graph.
9 . The method of claim 2 , where the graph is a directed graph.
10 . The method of claim 9 , where a single node (subject-node) is assigned to the subject.
11 . The method of claim 10 , where other nodes (element-node) are assigned to identity elements.
12 . The method of claim 11 , where each edge (binding-edge) between an element-node and a subject-node is assigned a weight corresponding to confidence that the element pertains to the given subject.
13 . The method of claim 12 , where each edge (link-edge) between an element-node and another element-node is assigned a weight corresponding to confidence that the two elements pertain to the same subject and that the destination element is authentic.
14 . The method of claim 13 , where each for each link-edge (x,y) between element-node x and element-node y there is a corresponding edge (y,x).
15 . The method of claim 14 , where an overall confidence is computed for each identity-element, based on edge weightings in the graph.
16 . The method of claim 1 , where the structured data model is selected from the set of matrix, list, database, database table, or file system.
17 . The method of claim 1 , where the structured data model is a non-graph object model.