Samsung Electronics Co., Ltd.

University of Michigan

Abhijit Bose

Kang Geun Shin

Taejoon Park

Xin Hu

A method and apparatus for modeling a behavior of a computer program that is executed in a computer system is described. The method and apparatus for modeling a behavior of a computer program may be used to detect a malicious program based on the behavior of the computer program. A method includes collecting system use information about resources of the computer system the computer program uses; extracting a behavior signature of the computer program from the collected system use information; and encoding the extracted behavior signature to generate a behavior vector. As a result, behaviors of a particular computer program may be modeled to enable a malicious program detection program and to determine whether the computer program is either normal or malicious.

Method and apparatus for modeling computer program behaviour for behavioural detection of malicious program

An apparatus and method of diagnosing whether a program executed in a computer system is malware and repairing the computer system infected by malware. The apparatus includes a receiving unit which receives a first behavior vector for the malware from a malware control server; a determination unit which determines whether a diagnostic target program corresponds to malware based on the received first behavior vector and a second behavior vector for the diagnostic target program; and a repair unit which repairs the computer system based on a result of the determination. A behavior of a computer program executed in the computer system may be modeled in real time.

Apparatus and method for repairing computer system infected by malware

An apparatus and method of diagnosing whether a computer program executed in a computer system is a malicious program and more particularly, an apparatus and method of diagnosing whether a computer program is a malicious program using a behavior of a computer program, and an apparatus and method of generating malicious code diagnostic data is provided. The apparatus for diagnosing a malicious code may include a behavior vector generation unit which generates a first behavior vector based on a behavior signature extracted from a diagnostic target program; a diagnostic data storage unit which stores a plurality of second behavior vectors for a plurality of sample programs predetermined to be malicious or normal; and a code diagnostic unit which diagnoses whether the diagnostic target program is a malicious code by comparing the first behavior vector with the plurality of second behavior vectors.

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Ann Arbor, MI, United States of America

Abhijit Bose