Method to improve anti-malware scan responsiveness and effectiveness using user symptoms feedback
Apparatus, systems, articles of manufacture, and methods for improving anti-malware scan responsiveness and effectiveness using user symptoms feedback are disclosed. An example method includes detecting a performance issue on a computing device, presenting a user interface on a display of the computing device requesting user feedback regarding the performance issue, and synthesizing user input related to the performance issue to identify, on the computing device, a scan parameter associated with the performance issue. The example method further includes, in response to failing to identify the scan parameter on the computing device, transmitting the user input to a symptom analysis server to identify the scan parameter based on anti-malware scans from other computing devices, and, in response to determining the scan parameter, performing a targeted anti-malware scan on the computing device.
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.
2. The apparatus of claim 1 , wherein the positive results include results from one or more of the malware scans that addressed the performance issue.
3. The apparatus of claim 1 , wherein the input is first input, and wherein one or more of the at least one processor circuit is to determine whether the targeted anti-malware scan addressed the performance issue based on second input to the computing device.
4. The apparatus of claim 3 , wherein one or more of the at least one processor circuit is to, in response to determining that the targeted anti-malware scan did not address the performance issue, trigger a full anti-malware scan of the computing device.
5. The apparatus of claim 3 , wherein one or more of the at least one processor circuit is to, in response to determining that the targeted anti-malware scan did not address the performance issue, provide results of the targeted anti-malware scan to a third party.
6. The apparatus of claim 1 , wherein one or more of the at least one processor circuit is to identify the portion of files based on a scan parameter received from a symptom analysis server.
7. The apparatus of claim 6 , wherein one or more of the at least one processor circuit is to provide results of the targeted anti-malware scan to the symptom analysis server.
8. At least one non-transitory machine-readable medium comprising machine-readable instructions to cause at least one processor circuit to at least:
identify a symptom associated with a performance metric 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 metric;
identify a portion of files on the computing device for a targeted anti-malware scan, the portion of files identified based on affirmative results of malware scans from other computing devices that experienced the symptom; and
initiate the targeted anti-malware scan of the computing device based on the portion of files.
9. The at least one non-transitory machine-readable medium of claim 8 , wherein the affirmative results include results from one or more of the malware scans that remediated the performance metric.
10. The at least one non-transitory machine-readable medium of claim 8 , wherein the input is a first input, and wherein the machine-readable instructions are to cause one or more of the at least one processor circuit to determine whether the targeted anti-malware scan remediated the performance metric based on second input to the computing device.
11. The at least one non-transitory machine-readable medium of claim 10 , wherein the machine-readable instructions are to cause one or more of the at least one processor circuit to, in response to determining that the targeted anti-malware scan did not remediate the performance metric, initiate a full anti-malware scan of the computing device.
12. The at least one non-transitory machine-readable medium of claim 10 , wherein the machine-readable instructions are to cause one or more of the at least one processor circuit to, in response to determining that the targeted anti-malware scan did not remediate the performance metric, provide results of the targeted anti-malware scan to a third party.
13. The at least one non-transitory machine-readable medium of claim 8 , wherein the machine-readable instructions are to cause one or more of the at least one processor circuit to identify the portion of files based on a scan parameter received from a symptom analysis server.
14. The at least one non-transitory machine-readable medium of claim 13 , wherein the machine-readable instructions are to cause one or more of the at least one processor circuit to provide results of the targeted anti-malware scan to the symptom analysis server.
15. A method comprising:
identifying a symptom associated with a performance error 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 error;
identifying, by at least one processor circuit programmed by at least one instruction, 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
triggering the targeted anti-malware scan of the computing device based on the portion of files.
16. The method of claim 15 , wherein the positive results include results from one or more of the malware scans that addressed the performance error.
17. The method of claim 15 , wherein the input is a first input, and further including determining whether the targeted anti-malware scan addressed the performance error based on second input to the computing device.
18. The method of claim 17 , further including, in response to determining that the targeted anti-malware scan did not address the performance error, triggering a full anti-malware scan of the computing device.
19. The method of claim 17 , further including, in response to determining that the targeted anti-malware scan did not address the performance error, providing results of the targeted anti-malware scan to a third party.
20. The method of claim 15 , further including identifying the portion of files based on a scan parameter received from a symptom analysis server.