SYSTEMS AND METHODS FOR IDENTIFYING COMPROMISED DEVICES WITHIN INDUSTRIAL CONTROL SYSTEMS

• US 20170149811A1
• Filed: 11/25/2015
• Published: 05/25/2017
• Est. Priority Date: 11/25/2015
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: Symantec Corporation (NortonLifeLock Inc.)
• Inventors: Corrales, Ignacio Bermudez, Tongaonkar, Alok
• Granted Patent: US 9,967,274 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/4185 characterised by the network communication
• CPC Class Codes: H04L 63/1425 Traffic logging, e.g. anomaly detection
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002

Abstract

The disclosed computer-implemented method for identifying compromised devices within industrial control systems may include (1) monitoring network traffic within a network that facilitates communication for an industrial control system that includes an industrial device, (2) creating, based at least in part on the network traffic, a message protocol profile for the industrial device that describes (A) a network protocol used to communicate with the industrial device and (B) normal communication patterns of the industrial device, (3) detecting at least one message that involves the industrial device and at least one other computing device included in the industrial control system, (4) determining, by comparing the message with the message protocol profile, that the message represents an anomaly, and then (5) determining, based at least in part on the message representing the anomaly, that the other computing device has likely been compromised. Various other methods, systems, and computer-readable media are also disclosed.

Claims

1. A computer-implemented method for identifying compromised devices within industrial control systems, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising:

monitoring network traffic within a network that facilitates communication for an industrial control system that includes at least one industrial device;

creating, based at least in part on the network traffic, a message protocol profile for the industrial device that describes;

a network protocol used to communicate with the industrial device via the network;

normal communication patterns of the industrial device;

detecting at least one message within the network that involves the industrial device and at least one other computing device included in the industrial control system;

determining, by comparing the message with the message protocol profile for the industrial device, that the message represents an anomaly that is suspiciously inconsistent with the normal communication patterns of the industrial device;

determining, based at least in part on the message representing the anomaly, that the other computing device has likely been compromised.

2. The method of claim 1, further comprising, in response to determining that the other computing device has likely been compromised, performing at least one security action with respect to the other computing device.

3. The method of claim 2, wherein the security action comprises at least one of:

raising an alarm that notifies at least one additional computing device that the other computing device has been compromised;

quarantining the other computing device from the industrial network to prevent the other computing device from communicating with any additional computing devices within the industrial control system;

shutting down the other computing device to prevent the other computing device from communicating with any additional computing devices within the industrial control system;

blocking all messages between the other computing device and any additional computing devices within the industrial control system;

replacing the other computing device within the industrial network by transferring at least one computing task of the other computing device to at least one additional computing device within the industrial control system.

4. The method of claim 1, wherein monitoring the network traffic within the network comprises:

detecting messages within the network that originate from or are destined for the industrial device;

identifying parameters included in fields of the messages.

5. The method of claim 4, wherein creating the message protocol profile for the industrial device comprises building a baseline representation of the normal communication patterns of the industrial device from the parameters included in the fields of the messages.

6. The method of claim 5, wherein:

detecting the messages within the network that originate from or are destined for the industrial device comprises creating a grouping of messages that have certain characteristics in common with respect to the industrial device;

building the baseline representation of the normal communication patterns of the industrial device comprises building the baseline representation of the normal communication patterns of the industrial device by;

analyzing the grouping of messages;

inserting a representation of the parameters identified in the fields of the messages into the baseline representation.

7. The method of claim 6, wherein detecting the message within the network that involves the industrial device and the other computing device comprises determining that the message and the grouping of messages share the certain characteristics in common.

8. The method of claim 7, wherein determining that the message represents the anomaly comprises:

identifying at least one parameter included in at least one field of the message;

determining that the parameter identified in the field of the message is suspiciously inconsistent with the baseline representation of the normal communication patterns of the industrial device.

9. The method of claim 4, wherein building the baseline representation of the normal communication patterns of the industrial device comprises forming, based at least in part on the parameters identified in the fields of the messages, a set of policy rules that represent a reference for the normal communication patterns of the industrial device.

10. The method of claim 9, wherein forming the set of policy rules comprises weighting, within a mathematical formula that facilitates calculating a risk score for computing devices communicating with the industrial device, a numerical value that represents a level of risk associated with violating at least one policy rule within the set of policy rules.

11. The method of claim 4, wherein the parameters included in the fields of the messages comprise at least one of:

an opcode included in a message originating from or destined for the industrial device;

a size of a message originating from or destined for the industrial device;

a structure of a message originating from or destined for the industrial device;

a sequence number of a message originating from or destined for the industrial device;

a counter that identifies a certain number of messages originating from or destined for the industrial device;

a transaction identifier included in a message originating from or destined for the industrial device.

12. A system for identifying compromised devices within industrial control systems, the system comprising:

a monitoring module, stored in memory, that monitors network traffic within a network that facilitates communication for an industrial control system that includes at least one industrial device;

a profiling module, stored in memory, that creates, based at least in part on the network traffic, a message protocol profile for the industrial device that describes;

a network protocol used to communicate with the industrial device via the network;

normal communication patterns of the industrial device;

a detection module, stored in memory, that detects at least one message within the network that involves the industrial device and at least one other computing device;

a determination module, stored in memory, that;

determines, by comparing the message with the message protocol profile for the industrial device, that the message represents an anomaly that is suspiciously inconsistent with the normal communication patterns of the industrial device;

determines, based at least in part on the message representing the anomaly, that the other computing device has likely been compromised;

at least one physical processor that executes the monitoring module, the profiling module, the detection module, and the determination module.

13. The system of claim 12, further comprising a security module, stored in memory, that performs at least one security action with respect to the other computing device in response to the determination that the other computing device has likely been compromised.

14. The system of claim 13, wherein the security action comprises at least one of:

raising an alarm that notifies at least one additional computing device that the other computing device has been compromised;

quarantining the other computing device from the industrial network to prevent the other computing device from communicating with any additional computing devices within the industrial control system;

shutting down the other computing device to prevent the other computing device from communicating with any additional computing devices within the industrial control system;

blocking all messages between the other computing device and any additional computing devices within the industrial control system;

replacing the other computing device within the industrial network by transferring at least one computing task of the other computing device to at least one additional computing device within the industrial control system.

15. The system of claim 12, wherein the monitoring module:

detects messages within the network that originate from or are destined for the industrial device;

identifies parameters included in fields of the messages.

16. The system of claim 15, wherein the profiling module builds a baseline representation of the normal communication patterns of the industrial device from the parameters included in the fields of the messages.

17. The system of claim 16, wherein:

the monitoring module creates a grouping of messages that have certain characteristics in common with respect to the industrial device;

the profiling module builds the baseline representation of the normal communication patterns of the industrial device by;

analyzing the grouping of messages;

inserting a representation of the parameters identified in the fields of the messages into the baseline representation.

18. The system of claim 17, wherein the determination module determines that the message and the grouping of messages share the certain characteristics in common.

19. The system of claim 15, wherein the parameters included in the fields of the messages comprise at least one of:

an opcode included in a message originating from or destined for the industrial device;

a size of a message originating from or destined for the industrial device;

a structure of a message originating from or destined for the industrial device;

a sequence number of a message originating from or destined for the industrial device;

a counter that identifies a certain number of messages originating from or destined for the industrial device;

a transaction identifier included in a message originating from or destined for the industrial device.

20. A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

monitor network traffic within a network that facilitates communication for an industrial control system that includes at least one industrial device;

create, based at least in part on the network traffic, a message protocol profile for the industrial device that describes;

a network protocol used to communicate with the industrial device via the network;

normal communication patterns of the industrial device;

detect at least one message within the network that involves the industrial device and at least one other computing device included in the industrial control system;

determine, by comparing the message with the message protocol profile for the industrial device, that the message represents an anomaly that is suspiciously inconsistent with the normal communication patterns of the industrial device;

determine, based at least in part on the message representing the anomaly, that the other computing device has likely been compromised.