US 11,811,940 B2
False positive reduction in electronic token forgery detection
Bryan R. Jeffrey, Littleton, MA (US); Craig Gordon Lockwood, North Bend, WA (US); and Reeves Hoppe Briggs, Boxborough, MA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Aug. 10, 2022, as Appl. No. 17/885,391.
Application 17/885,391 is a continuation of application No. 16/674,699, filed on Nov. 5, 2019, granted, now 11,451,396.
Prior Publication US 2022/0385473 A1, Dec. 1, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 29/06 (2006.01); H04L 9/32 (2006.01); H04L 9/00 (2022.01)
CPC H04L 9/3234 (2013.01) [H04L 9/002 (2013.01); H04L 9/3247 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method performed by hardware processing circuitry, the method
comprising:
determining, from a plurality of notifications, a rate of change of a plurality of token sequence numbers, the rate of change indicating a number of increments or decrements of a baseline sequence number that occur per unit time, the increments or decrements increase or decrease the baseline sequence number by a determinable amount;
receiving a first security token at a first time, the first security token including a token sequence number;
responsive to determining an issuer of the first security token is offline, determining, based on the first time and the rate of change, a token sequence number confidence interval of the issuer; and
validating, based on determining the token sequence number included in the first security token is within the token sequence number confidence interval, the first security token.