Protection of data from malicious user in computing device from pre-boot state
Data theft protection for a computing device is provided by flagging a suspicious user within the pre-boot environment by systematic evaluation to determine suspicious location and/or anomalous user behavior. Depending on a suspicion score and a risk evaluation, the system automatically triggers one or more actions with respect to the data on the computing device.
1. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured to:
collect a current data set when a current user performs a login process to a computing device, wherein the current data set comprises data indicative of one or more behaviors associated with the current user with respect to the computing device and the login process, and wherein at least a portion of the current data set comprises data collected in a pre-boot environment associated with the computing device;
compare the current data set to a previously-obtained data set collected when an authentic user performed a login process, wherein the previously-obtained data set comprises data, selectively determined by the authentic user, indicative of one or more behaviors associated with the authentic user with respect to the computing device and the login process, and wherein at least a portion of the previously-obtained data set comprises data collected in a pre-boot environment associated with the computing device;
generate a score based on the comparison of the current data set to the previously-obtained data set, wherein the score is indicative of a risk level associated with the current user; and
cause one or more actions to be taken based on the risk level indicated by the generated score.
2. The apparatus of claim 1 , wherein the data indicative of one or more behaviors associated with the current user and the authentic user with respect to the computing device and the login process comprises information indicative of one or more of: a booting pattern, login attempts, time taken to enter a password for a successful login, and flight time between keystrokes.
3. The apparatus of claim 1 , wherein the current data set and the previously-obtained data set comprise information indicative of a geographic location of the computing device.
4. The apparatus of claim 1 , wherein the data collected in the pre-boot environment associated with the computing device for the current user and the authentic user is collected from an operating system runtime executing on the computing device.
5. The apparatus of claim 1 , wherein the comparison compares one or more criteria of the current data set and the previously-obtained data set and generates a sub-score for each of the one or more compared criteria based on a difference between data from the current data set and data from the previously-obtained data set for each of the one or more compared criteria.
6. The apparatus of claim 5 , wherein the at least one processing device is further configured to transmit the difference between data from the current data set and data from the previously-obtained data set to a server remote from the computing device.
7. The apparatus of claim 5 , wherein sub-scores for the one or more compared criteria are accumulated to generate the score indicative of a risk level associated with the current user.
8. The apparatus of claim 7 , wherein the one or more actions taken based on the risk level indicated by the generated score correspond to given data stored on the computing device.
9. The apparatus of claim 8 , wherein the one or more actions comprise enabling access by the current user to the given data, preventing access by the current user to the given data, and deleting the current data from the computing device.
10. A method comprising:
collecting a current data set when a current user performs a login process to a computing device, wherein the current data set comprises data indicative of one or more behaviors associated with the current user with respect to the computing device and the login process, and wherein at least a portion of the current data set comprises data collected in a pre-boot environment associated with the computing device;
comparing the current data set to a previously-obtained data set collected when an authentic user performed a login process, wherein the previously-obtained data set comprises data, selectively determined by the authentic user, indicative of one or more behaviors associated with the authentic user with respect to the computing device and the login process, and wherein at least a portion of the previously-obtained data set comprises data collected in a pre-boot environment associated with the computing device;
generating a score based on the comparison of the current data set to the previously-obtained data set, wherein the score is indicative of a risk level associated with the current user; and
causing one or more actions to be taken based on the risk level indicated by the generated score.
11. The method of claim 10 , wherein the data indicative of one or more behaviors associated with the current user and the authentic user with respect to the computing device and the login process comprises information indicative of one or more of: a booting pattern, login attempts, time taken to enter a password for a successful login, and flight time between keystrokes.
12. The method of claim 10 , wherein the current data set and the previously-obtained data set comprise information indicative of a geographic location of the computing device.
13. The method of claim 10 , wherein the data collected in the pre-boot environment associated with the computing device for the current user and the authentic user is collected from an operating system runtime executing on the computing device.
14. The method of claim 10 , wherein the comparison compares one or more criteria of the current data set and the previously-obtained data set and generates a sub-score for each of the one or more compared criteria based on a difference between data from the current data set and data from the previously-obtained data set for each of the one or more compared criteria.
15. The method of claim 14 , further comprising transmitting the difference between data from the current data set and data from the previously-obtained data set to a server remote from the computing device.
16. The method of claim 14 , wherein sub-scores for the one or more compared criteria are accumulated to generate the score indicative of a risk level associated with the current user.
17. The method of claim 16 , wherein the one or more actions taken based on the risk level indicated by the generated score correspond to given data stored on the computing device.
18. The method of claim 17 , wherein the one or more actions comprise enabling access by the current user to the given data, preventing access by the current user to the given data, and deleting the current data from the computing device.
19. A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:
collecting a current data set when a current user performs a login process to a computing device, wherein the current data set comprises data indicative of one or more behaviors associated with the current user with respect to the computing device and the login process, and wherein at least a portion of the current data set comprises data collected in a pre-boot environment associated with the computing device;
comparing the current data set to a previously-obtained data set collected when an authentic user performed a login process, wherein the previously-obtained data set comprises data, selectively determined by the authentic user, indicative of one or more behaviors associated with the authentic user with respect to the computing device and the login process, and wherein at least a portion of the previously-obtained data set comprises data collected in a pre-boot environment associated with the computing device;
generating a score based on the comparison of the current data set to the previously-obtained data set, wherein the score is indicative of a risk level associated with the current user; and
causing one or more actions to be taken based on the risk level indicated by the generated score.
20. The computer program product of claim 19 , wherein the data collected in the pre-boot environment associated with the computing device for the current user and the authentic user is collected from an operating system runtime executing on the computing device.