Attribute-based identification schemes for objects in internet of things
View Patent ↗Methods and arrangements for object identification. An identification request is received from different objects of a network. Attributes and values of each object are ascertained, and at least one attribute-value pair from each object is filtered out. An ID is generated for each object based on at least one remaining attribute-value pair from the filtering.
1. A method comprising:
Receiving an identifying request from different objects of a network;
Ascertaining attributes and values of each object;
Filtering out at least one attribute-value pair from each object; and
Generating ID for each object based on at least one remaining attribute-value pair from said filtering;
Wherein said filtering comprises ascertaining attribute entropy and attribute requirements; and
Wherein said filtering further comprises accepting attribute-value pairs with attribute entropy between predetermined upper and lower entropy bounds.
2. The method of according to claim 1 , wherein the objects are associated with an internet of things.
3. The method according to claim 1 , further comprising clustering objects based on filtered attribute-value pairs.
4. The method according to claim 3 , wherein said clustering combines clustering on two levels.
5. The method according to claim 4 , wherein one of the tow levels relates to attributes of objects.
6. The method according to claim 5 , wherein the other of the two levels relates to attribute-value pairs of objects.
7. The method according to claim 1 , wherein said filtering comprises relevance-based filtering.
8. The method according to claim 1 , wherein said filtering further comprises selectively accepting attribute-value pairs with attribute entropy outside of the predetermined upper and lower entropy bounds.
9. The method according to claim 1 , wherein said generating comprises generating an ID with one or more fields taken from the group consisting of: Version; agency-specific information; class-level identification; attribute-value pair based on encrypted information.
10. The method according to claim 1 , comprising: with respect to an identify management system, at least one step taken from the group consisting of: registering an object; updating object data; deregistering an object.
11. An apparatus comprising:
At least one processor; and
A non-transitory computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising:
Computer readable program code configured to receive an identification request from different objects of a network;
Computer readable program code configured to ascertain attributes and values of each object;
Computer readable program code configured to filter out at least one attribute-value pair from each object; and
Computer readable program code configured to generate an ID for each object based on at least one remaining attribute-value pair from the filtering;
Wherein said computer readable program code is configured to ascertain attribute entropy and attribute requirements; and
Wherein said computer readable medium program code configured to accept attribute-value pairs with attribute entropy between predetermined upper and lower entropy bounds.
12. A computer program product comprising:
A non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising:
Computer readable program code configured to receive an identification request from different objects of a network;
Computer readable program code configured to ascertain attributes and values of each object;
Computer readable program code configured to filter out at least one attribute-value pair from each object; and
Computer readable program code configured to generate an ID for each object based on at least one remaining attribute-value pair from the filtering;
Wherein said computer readable program code is configured to ascertain attribute entropy and attribute requirements; and
Wherein said computer readable program code is configured to accept attribute-value pairs with attribute entropy between predetermined upper and lower entropy bounds.
13. The computer program product according to claim 12 , wherein the objects are associated with an internet of things.
14. The computer program product according to claim 12 , wherein said computer readable program code is further configured to cluster objects based on filtered attribute-value pairs.
15. The computer program product according to claim 14 , wherein said computer readable program code is further configured to cluster objects based on filtered attribute-value pairs.
16. The computer program product according to claim 15 , wherein said computer readable program code is further configured to cluster on two levels.
17. The computer program product according to claim 16 , wherein the other of the tow level relates to attribute-value pairs of objects.
18. The computer program product according to claim 12 , wherein said computer readable program code is configured to ascertain attribute entropy and attribute requirements.
19. The computer program product according to claim 12 , wherein said computer readable program code is further configured to attribute-value pairs with attribute entropy outside of the predetermined upper and lower entropy bounds.
20. The computer program product according to claim 12 , wherein said computer readable program code is configured to generate an ID with one or more fields taken from the group consisting of: version, agency-specific information; class-level identification; attribute-value pair based encrypted information.
21. The computer program product according to claim 12 , wherein said computer readable program code is configured, with respect to an identity management system, to perform at least one step taken from the group consisting of: registering an object, updating object data; deregistering an object.