Ransomware resilient cloud services
An anti-ransomware system protects data in cloud storage of a cloud services provider against a ransomware attack. A backup handler is configured to at least one of: selectively retrieve backup data generated by the cloud services provider from the cloud storage; and selectively generate backup data based on the data in the cloud storage and output the backup data to a storage device. A ransomware detector is configured to detect data changes to the data resulting from a ransomware attack. A ransomware remediator communicates with the ransomware detector and the backup handler and is configured to restore the data to a state prior to the ransomware attack based upon the backup data.
1. An anti-ransomware system for protecting data in cloud storage of a cloud services provider against a ransomware attack, the anti-ransomware system comprising:
one or more processor(s); and
one or more computer-readable hardware storage device(s) having stored thereon computer-executable instructions that are executable by the one or more processor(s) to cause the anti-ransomware system to:
selectively retrieve backup data generated by the cloud services provider from the cloud storage, or, alternatively, selectively generate backup data based on the data in the cloud storage and output the backup data to a storage device;
detect data changes to the data resulting from a ransomware attack;
detect the ransomware attack using at least one of deep learning analysis detection or machine learning, wherein, in one or more instance(s), the ransomware attack is further detected by monitoring one or more change(s) made to honeypot data included in the data, which is stored in the cloud storage;
generate a ransomware alert in response to detecting the ransomware attack;
output the ransomware alert to a queue, wherein, after the queue outputs the ransomware alert, a coordination event occurs to determine how the backup data is to be used in restoring the data, which is subject to the ransomware attack; and
after the queue outputs the ransomware alert, restore the data to a state prior to the ransomware attack based upon the backup data.
2. The system of claim 1 , wherein execution of the computer-executable instructions further causes the system to:
receive change events;
use a plurality of rules to detect the ransomware attack.
3. The system of claim 1 , wherein execution of the computer-executable instructions further causes the system to:
replace the data based upon the backup data in response to the ransomware alert.
4. The system of claim 1 , wherein the cloud storage generates the backup data.
5. The system of claim 1 , wherein detecting the data changes to the data resulting from the ransomware attack is performed using one or more rule(s) used to filter the data in the database.
6. The system of claim 1 , wherein the cloud storage generates the backup data, and wherein detecting the data changes to the data resulting from the ransomware attack is performed using one or more rule(s) used to filter the data in the database.
7. The system of claim 1 , wherein detecting the ransomware attack is performed using the machine learning,
wherein the machine learning uses a support vector machine to distinguish between legitimate changes to the data and malicious changes to the data, and
wherein the support vector machine is configured to support linear classification and nonlinear classification, the nonlinear classification being supported as a result of modifying a kernel function of the system.
8. The system of claim 1 , wherein the system is further configured to use one or more of the following to detect the ransomware attack: a radial basis function (RBF) kernel, a polynomial gaussian RBF kernel, or a sigmoid kernel.
9. An anti-ransomware system for protecting data in cloud storage of a cloud services provider against a ransomware attack, the anti-ransomware system comprising:
a processor;
memory; and
an anti-ransomware detection and remediation application that is instantiated in the memory and that is executed by the processor, the anti-ransomware detection and remediation application being configured to:
selectively retrieve backup data generated by the cloud services provider from the cloud storage, or, alternatively, selectively generate backup data based on the data in the cloud storage and output the backup data to a storage device;
detect data changes to the data resulting from a ransomware attack;
detect the ransomware attack using at least one of deep learning analysis detection or machine learning, wherein, in one or more instance(s), the ransomware attack is further detected by monitoring one or more change(s) made to honeypot data included in the data, which is stored in the cloud storage;
generate a ransomware alert in response to detecting the ransomware attack;
output the ransomware alert to a queue, wherein, after the queue outputs the ransomware alert, a coordination event occurs to determine how the backup data is to be used in restoring the data, which is subject to the ransomware attack; and
after the queue outputs the ransomware alert and in response to the ransomware attack, restore the data to a state prior to the ransomware attack based upon the backup data.
10. The system of claim 9 , wherein the anti-ransomware detection and remediation application is further configured to:
receive events for the data from the cloud storage; and
apply a plurality of rules to the events to detect the ransomware attack.
11. The system of claim 10 , wherein the anti-ransomware detection and remediation application is further configured to detect the ransomware attack based on the events using at least one of the deep learning analysis detection or the machine learning.
12. The system of claim 9 , wherein the anti-ransomware detection and remediation application is further configured to:
receive ransomware alerts; and
replace data based upon the backup data in response to the ransomware alerts.
13. The system of claim 9 , wherein the anti-ransomware detection and remediation application is further configured to schedule backups of the data in response to at least one of an event or a predetermined backup period and to store the backup data in the storage device.
14. The system of claim 9 , wherein the cloud storage generates the backup data.
15. The system of claim 9 , wherein the anti-ransomware detection and remediation application generates the backup data.
16. The system of claim 9 , wherein the cloud storage and the anti-ransomware detection and remediation application generate the backup data.
17. The system of claim 9 , wherein the anti-ransomware detection and remediation application is further configured to detect a ransomware note in the data changes.
18. A method for protecting data in cloud storage of a cloud services provider against a ransomware attack, the method comprising:
selectively retrieving backup data generated by the cloud services provider from the cloud storage, or, alternatively, selectively generating backup data based on the data in the cloud storage and outputting the backup data to a storage device;
detecting data changes to the data resulting from a ransomware attack;
detecting the ransomware attack using at least one of deep learning analysis detection or machine learning, wherein, in one or more instance(s), the ransomware attack is further detected by monitoring one or more change(s) made to honeypot data included in the data which is stored in the cloud storage;
generating a ransomware alert in response to detecting the ransomware attack;
outputting the ransomware alert to a queue, wherein, after the queue outputs the ransomware alert, a coordination event occurs to determine how the backup data is to be used in restoring the data, which is subject to the ransomware attack; and
after the queue outputs the ransomware alert and in response to detecting the ransomware attack, restoring the data to a state prior to the ransomware attack based upon the backup data.
19. The method of claim 18 , further comprising receiving events relating to changes to the data from the cloud storage.
20. The method of claim 19 , further comprising monitoring the events using a plurality of rules to detect the ransomware attack and to generate the ransomware alert.
21. The method of claim 19 , further comprising detecting the ransomware attack and generating the ransomware alert based on the events using at least one of the deep learning analysis detection or the machine learning.
22. The method of claim 18 , wherein the cloud service provider generates the backup data.