Active defense method on the basis of cloud security

• US 9,916,447 B2
• Filed: 09/22/2015
• Issued: 03/13/2018
• Est. Priority Date: 08/18/2010
• Status: Active Grant

• Current Assignee: Beijing Qihu Technology Co. Ltd. (360 Security Technology, Inc.), Qizhi Software (Beijing) Company Limited (360 Security Technology, Inc.)
• Original Assignee: Beijing Qihu Technology Co. Ltd. (360 Security Technology, Inc.), Qizhi Software (Beijing) Company Limited (360 Security Technology, Inc.)
• Inventors: Zhou, Hongyi, Zheng, Wenbin, Yu, He, Fan, Paul
• Primary Examiner(s): Leung, Robert
• Assistant Examiner(s): Stoica, Adrian
• Application Number:
  US14/861,177
• Publication Number:
  US 20160012224A1
• Time in Patent Office: 903 Days
• CPC Class Codes: G06F 21/56 Computer malware detection or handling, e.g. anti-virus arrangements
• CPC Class Codes: G06F 21/562 Static detection
• CPC Class Codes: G06F 21/567 using dedicated hardware
• CPC Class Codes: G06F 2221/033 Test or assess software
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1425 Traffic logging, e.g. anomaly detection
• CPC Class Codes: H04L 63/145 the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms

Abstract

The present invention relates to an active defense method based on cloud security comprising: a client collecting and sending a program behavior launched by a program thereon and/or a program feature of the program launching the program behavior to a server; with respect to the program feature and/or the program behavior sent by the client, the server performing an analysis and comparison in its database, making a determination on the program based on the comparison result, and feeding back to the client; based on the feedback determination result, the client deciding whether to intercept the program behavior, terminate execution of the program and/or clean up the program, and restore the system environment. The invention introduces a cloud security architecture, and employs a behavior feature based on active defense to search and kill a malicious program, thereby ensuring network security.

Claims

1. A server, comprising:

one or more processors;

one or more memories having program instructions stored thereon that are executable by the one or more processors to cause the server to perform the operations comprising;

recording a black/white list in a database, which black/white list including different program features and corresponding program behaviors;

receiving at least one of a program behavior and a program feature of a first program from a client;

comparing the received program feature/program behavior with the recorded program feature/program behavior in the database, and making a determination on the first program based on the comparison result;

feeding back the determination result to the client;

wherein, when the comparison result indicates that the program behavior of the first program is included into the black/white list, the black/white list is updated by;

adding a program feature of the first program that corresponds to the program behavior of the first program to the black/white list, and

adding a program behavior and a program feature of a second program into the black/white list based on an associated relationship between the first program and the second program; and

/or

when the comparison result indicates that the program feature of the first program is included into the black/white list, the black/white list is updated by;

adding a program behavior of the first program that corresponds to the program feature of the first program to the black/white list, and

adding the program behavior and the program feature of the second program to the black/white list based on the associated relationship between the first program and the second program.

2. The server of claim 1, wherein the program behavior comprises the program behavior itself and the attributes of the object of the program behavior;

the attributes of the object of the program behavior further comprise the black and white level to which the behavioral object itself belongs, the position in the system and type of the behavioral object, the behavior itself made by the behavioral object and the black and white level to which the behavior itself belongs.

3. The server of claim 1, wherein the operation of comparing the received program feature/program behavior and the recorded program feature/program behavior in a database and making a determination on the program based on the comparison result comprising

comparing the received program feature of the program with the feature codes in the blacklist stored in the database, and if hit, determining the program as a malicious program.

4. The server of claim 2 wherein the operation of comparing the received program feature/program behavior and the recorded program feature/program behavior in a database and making a determination on the program based on the comparison result comprising

comparing a series of received program behaviors of the program with a sequence of identified malicious behaviors in the blacklist stored in the database, accumulating on weight values of the hit program behaviors, comparing the accumulated value with a preset threshold, and if the value exceeds the threshold, then determining the program as a malicious program.

5. The server of claim 4, wherein assigning a corresponding weight value to a respective malicious behavior stored in the database, and the setting of the weight values is obtained according to experiences of the skilled in the art or based on a large amount of collected client data through statistical computation.

6. The server of claim 2, wherein the operation of comparing the received program feature/program behavior and the recorded program feature/program behavior in a database and making a determination on the program based on the comparison result comprising

comparing a series of received program behaviors of the program with a sequence of identified malicious behaviors in the blacklist stored in the database, accumulating on weight values of the hit program behaviors, comparing the accumulated value with a preset threshold, and if the value exceeds the threshold, then analyzing on the program, obtaining its feature code, comparing its feature code with feature codes of the blacklist stored in the database , and if hit, then determining the program as a malicious program.

7. The server of claim 3, wherein the operation of comparing the received program feature/program behavior and the recorded program feature/program behavior in a database and making a determination on the program based on the comparison result further comprising a step of updating:

updating in real time or periodically at least one of a program feature of the malicious program and a program behavior of the malicious program into the blacklist in the database for storing.

8. The server of claim 1, wherein the operations further comprising

for a program included into the blacklist in the database, further recording the reverse behavior of the program to perform the reverse behavior when it is confirmed that the program included into the blacklist exists in the client computer;

and/or

for a program included into the blacklist in the database, based on the behavior of the program, determining the information on an infected file in the client computer, and based on the information on the infected file, downloading a corresponding intact file stored in the database to the client computer to overwrite the infected file; and

/or

further recording in the database change in number of an identical program feature collected by different client computers within a preset time, and if within a preset time, the increase or decrease in number of a certain unknown program feature collected by different client computers exceeds a threshold, then including in the database the program feature and its corresponding program behavior into the blacklist.

9. A client computer, comprising:

one or more processors,

one or more memories having program instructions stored thereon that are executable by the one or more processors to cause the client computer to perform the operations comprising;

collecting a program feature and/or a program behavior of a first program;

sending the collected program feature and/or program behavior to a server;

receiving a determination result from the server, and deciding how to handle the first program based on the determination result;

wherein the determination result is made by the serve based on a comparison of the program feature/program behavior of the first program and a black/white list, and

when the comparison indicates that the program behavior of the first program is included in the black/white list, the black/white list is updated by;

adding a program feature of the first program that corresponds to the program behavior of the first program to the black/white list, and

adding a program behavior and a program feature of a second program into the black/white list based on an associated relationship between the first program and the second program; and

/or

when the comparison indicates that the program feature of the first program is included in the black/white list, the black/white list is updated by;

adding a program behavior of the first program that corresponds to the program feature of the first program to the black/white list, and

adding the program behavior and the program feature of the second program to the black/white list based on the associated relationship between the first program and the second program.

10. The client computer of claim 9, wherein

the determination result comprising whether the first program is a malicious program.

11. The client computer of claim 9, wherein the operation of deciding how to handle the first program based on the determination result comprising:

deciding whether to intercept the program behavior, terminate execution of the first program and/or clean up the first program, restore the system environment.

12. An active defense method based on cloud security, comprising:

recording a black/white list in a database, which black/white list including different program features and corresponding program behaviors;

receiving at least one of a program behavior and a program feature of a first program from a client;

comparing the received program feature/program behavior with the recorded program feature/program behavior in the database, and making a determination on the first program based on the comparison result;

feeding back the determination result to the client;

wherein, when the comparison result indicates that the program behavior of a first program is included in the black/white list, the black/white list is updated by;

adding a program feature of the first program that corresponds to the program behavior of the first program to the black/white list, and

adding a program behavior and a program feature of a second program into the black/white list based on an associated relationship between the first program and the second program; and

/or

when the comparison result indicates that the program feature of the first program is included in the black/white list, the black/white list is updated by;

adding a program behavior of the first program that corresponds to the program feature of the first program to the black/white list, and

adding the program behavior and the program feature of the second program to the black/white list based on the associated relationship between the first program and the second program.