METHOD AND DEVICE FOR DETECTING AUTONOMOUS, SELF-PROPAGATING SOFTWARE

• US 20170041329A1
• Filed: 01/16/2015
• Published: 02/09/2017
• Est. Priority Date: 01/29/2014
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: GBEL, JAN GERRIT, PATZLAFF, HEIKO, ROTHMAIER, GERRIT
• Application Number:
  US15/107,112
• Publication Number:
  US 20170041329A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/145 the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
• CPC Class Codes: H04L 63/18 using different networks or channels, e.g. using out of band channels cryptographic mechanisms or cryptographic arrangements for key distribution involving distinctive intermediate devices or communication paths H04L9/0827; cryptographic mechanisms or cryptographic arrangements for authentication using a plurality of channels H04L9/3215
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

A method and a device for detecting autonomous, self-propagating malicious software in at least one first computing unit in a first network, wherein the first network is coupled to a second network via a first link, having the following method steps: a) generating at least one first indicator which specifies a first behaviour of the at least one first computing unit; b) generating at least one second indicator which specifies a second behaviour of at least one second computing unit in the second network; c) transmitting the at least one first indicator and the at least one second indicator to a correlation component; d) generating at least one correlation result by correlating the at least one first indicator with the at least one second indicator; e) outputting an instruction signal if, when a comparison is made, a definable threshold value is exceeded by the correlation result, is provided.

Claims

1. A method for detecting autonomous, self-propagating malware in at least one first computer unit in a first network, wherein the first network (NET1) is coupled to a second network via a first link, the method comprising:

a) generating at least one first indicator which specifies a first behavior of the at least one first computer unit;

b) generating at least one second indicator which specifies a second behavior of at least one second computer unit in the second network;

c) conveying the at least one first indicator and the at least one second indicator to a correlation component;

d) generating at least one correlation result by correlating the at least one first indicator with the at least one second indicator; and

e) outputting an instruction signal if, during a comparison, a definable threshold value is exceeded by the at least one correlation result.

2. The method as claimed in claim 1, wherein a system for monitoring and/or controlling technical processes of industrial installations is formed by the first network and an office communication network is formed by the second network.

3. The method as claimed in claim 1, wherein the respective behavior with respect to at least one of the following information items of the at least one first computer unit and the at least one second computer unit is determined by the at least one first indicator and the at least one second indicator:

at least one file name on a storage medium;

at least one name of a current or stopped process;

at least one result of an intrusion detection system; and

a characteristic of network traffic data within the first and second network.

4. The method as claimed in claim 3, wherein the at least one first indicator and the at least one second indicator are determined in dependence on a change of the respective information.

5. The method as claimed in claim 1, wherein the at least one first indicator and the at least one second indicator are generated at regular intervals.

6. The method as claimed in claim 1, wherein a first type of behavior of the at least one first computer unit is indicated in a first time interval by the at least one first indicator and the first type of behavior of the at least one second computer unit is indicated in a second time interval by the at least one second indicator, the second time interval being arranged before the first time interval in time.

7. The method as claimed in claim 1, wherein at least one of steps a), c), d), e) is performed only after at least one data word of the at least one second computer unit has been transmitted to the at least one first computer unit.

13. The method as claimed in claim 4, wherein the at least one first indicator and the at least one second indicator are determined in dependence on a frequency of occurrence of the respective information.

8. A device for detecting autonomous, self-propagating malware in at least one first computer unit in a first network, wherein the first network is coupled to a second network via a first link and the second network is coupled to a public network via a second link, the device comprising:

a) a first unit for generating at least one first indicator which specifies a first behavior of the at least one first computer unit;

b) a second unit for generating at least one second indicator which specifies a second behavior of at least one second computer unit of the second network;

c) a third unit for conveying the at least one first indicator and the at least one second indicator to a correlation component;

d) a fourth unit for generating at least one correlation result by correlating the at least one first indicator with the at least one second indicator; and

e) a fifth unit for outputting an instruction signal if, during a comparison, the at least one correlation result exceeds the a definable threshold value.

9. The device as claimed in claim 8, wherein the first unit and the second unit, for generating the at least one first indicator and the at least one second indicator, determine the respective behavior with respect to at least one of the following information items:

at least one file name on a storage medium;

at least one name of a current or stopped process;

at least one result of an intrusion detection system; and

a characteristic of network traffic data within the first and second network.

10. The device as claimed in claim 9, wherein the first unit and the second unit perform the generating of the at least one first indicator and the at least one second indicator in dependence on a change of the respective information.

11. The device as claimed in claim 8, wherein the first unit and the second unit perform the generating of the at least one first indicator and the at least one second indicator at regular intervals.

12. The device as claimed in claim 8, wherein a first type of behavior in a first time interval is indicated by the at least one first indicator and the first type of behavior in a second time interval is indicated by the at least one second indicator, the second time interval being arranged before the first time interval in time.

14. The device as claimed in claim 9, wherein the first unit and the second unit perform the generating of the at least one first indicator and the at least one second indicator in dependence on a frequency of occurrence of the respective information.