US 12,244,610 B2
Method to improve anti-malware scan responsiveness and effectiveness using user symptoms feedback
Ritesh Kumar, Santa Clara, CA (US); and German Lancioni, Cordoba (AR)
Assigned to McAfee, LLC, San Jose, CA (US)
Filed by McAfee, LLC, San Jose, CA (US)
Filed on Jan. 3, 2024, as Appl. No. 18/403,402.
Application 18/403,402 is a continuation of application No. 17/039,520, filed on Sep. 30, 2020, granted, now 11,902,292.
Application 17/039,520 is a continuation of application No. 15/392,867, filed on Dec. 28, 2016, granted, now 10,826,914, issued on Nov. 3, 2020.
Prior Publication US 2024/0137370 A1, Apr. 25, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 3/04847 (2022.01); G06F 16/28 (2019.01); G06F 21/55 (2013.01); G06F 21/56 (2013.01)
CPC H04L 63/14 (2013.01) [G06F 3/04847 (2013.01); G06F 16/285 (2019.01); G06F 21/554 (2013.01); G06F 21/56 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
interface circuitry;
machine-readable instructions; and
at least one processor circuit to be programmed by the machine-readable instructions to at least:
identify a symptom associated with a performance issue on a computing device based on input to the computing device, the input corresponding to highlighting an area of a display associated with the performance issue;
identify a portion of files on the computing device for a targeted anti-malware scan, the portion of files identified based on positive results of malware scans from other computing devices that experienced the symptom; and
trigger the targeted anti-malware scan of the computing device based on the portion of files.