US 11,954,209 B2
Cognitive malware awareness improvement with cyclamates
Aaron K. Baughman, Cary, NC (US); Tiberiu Suto, Franklin, NY (US); Shikhar Kwatra, San Jose, CA (US); and Jeremy R. Fox, Georgetown, TX (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Mar. 18, 2022, as Appl. No. 17/655,439.
Prior Publication US 2023/0297686 A1, Sep. 21, 2023
Int. Cl. G06F 21/57 (2013.01); G06Q 10/1053 (2023.01)
CPC G06F 21/577 (2013.01) [G06Q 10/1053 (2013.01); G06F 2221/034 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A processor-implemented method for cyber awareness improvement, the method comprising:
determining an access level of a user within an organization;
generating a simulated scenario based on the access level, wherein the simulated scenario is generated utilizing a cybersecurity trap model, wherein utilizing the cybersecurity trap model comprises:
assigning a magnitude valuation to the simulated scenario based on a similarity of the simulated scenario with previous educational content taken by multiple users having a same access level as the user, wherein the magnitude valuation is correlated with intermediate quiz results of the educational content of the multiple users;
identifying responses of the user to the generated simulated scenario, wherein the responses of the user to the simulated scenario reinforce the magnitude valuation;
capturing one or more input frames;
analyzing the responses and the one or more input frames; and
generating customized cybersecurity education for the user based on the responses and the one or more input frames.