US 10,891,816 B2
Spatio-temporal topology learning for detection of suspicious access behavior
Blanca Florentino, Cork (IE); Menouer Boubekeur, Cork (IE); Tarik Hadzic, Cork (IE); and Ankit Tiwari, Framingham, MA (US)
Assigned to CARRIER CORPORATION, Palm Beach Gardens, FL (US)
Appl. No. 16/490,295
Filed by Carrier Corporation, Palm Beach Gardens, FL (US)
PCT Filed Feb. 28, 2018, PCT No. PCT/US2018/020219
§ 371(c)(1), (2) Date Aug. 30, 2019,
PCT Pub. No. WO2018/160689, PCT Pub. Date Sep. 7, 2018.
Claims priority of provisional application 62/465,586, filed on Mar. 1, 2017.
Prior Publication US 2020/0020182 A1, Jan. 16, 2020
Int. Cl. G07C 9/28 (2020.01); G07C 9/27 (2020.01); G07C 9/29 (2020.01)
CPC G07C 9/28 (2020.01) [G07C 9/27 (2020.01); G07C 9/29 (2020.01); G07C 2209/08 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A spatio-temporal topology learning system for detection of suspicious access control behavior in a physical access control system (PACS), the spatio-temporal topology learning system comprising:
an access pathways learning module configured to determine a set of spatio-temporal properties associated with a resource in the PACS;
an inconsistency detection module in operable communication with the access pathways learning module, the inconsistencies detection module configured to
analyze a plurality of historical access control events and identify an inconsistency with regard to the set of spatio-temporal properties; and
if an inconsistency is detected, at least one of the events is flagged as potentially suspicious access control behavior;
wherein the spatio-temporal properties include a reachability graph;
wherein the spatio-temporal topology learning system refines the reachability graph based on an initial estimate of the notional distance between readers determined as the minimum difference between access event time stamps at two connected readers;
the inconsistency detection module detecting the inconsistency in response to the refined reachability graph.