Method and system for malicious code detection based on virtual technology in Android system

Abstract

The invention discloses a method and system for malicious code detection based on a virtual technology in an Android system. The method comprises the steps that at first, executable files in the Android system are recognized and analyzed; machine instructions of each executable file are split; the virtual technology is used to simulate execution of the machine instructions and simulate a physical environment required during running of the instructions; possible system calling and API calling are also simulated; sensitive information generated during the simulated execution and the simulated calling is monitored and recorded; and finally the sensitive information is matched with matched characteristics in a rule base, and whether an executable file containing a malicious code exists is determined. The method and the system disclosed by the invention make up deficiencies in existing technologies aiming at malicious code static detection in the Android system and conduct deep detection of the malicious codes in the Android system.

Description

technical field [0001] The invention relates to the technical field of malicious code monitoring, in particular to a method and system for detecting malicious codes based on virtual technology under an Android system. Background technique [0002] Malicious codes under the current Android system show a more complex development trend. It uses more complex obfuscation and encryption methods, and the encryption algorithm usually uses a custom algorithm, which brings great challenges to the static detection of malicious codes. Malicious codes will Sensitive character strings, execution codes, and execution module files are encrypted, so that existing static detection schemes cannot effectively detect them intelligently. [0003] The Android system currently supports a variety of executable file formats, such as APK, DEX, ELF, etc., and a new runtime environment ART has been added after Android4.4. The executable file format in this runtime environment is OAT, Android5 After .0,...

AI Technical Summary

Problems solved by technology

[0002] Malicious codes under the current Android system show a more complex development trend. It uses more complex obfuscation and encryption methods, and the encryption algorithm usually uses a custom algorithm, which brings great challenges to the static detection of malicious codes. Malicious codes will Sensitive strings, execution codes, and execution module files are encrypted, so that the existing static detection schemes cannot effectively detect them intelligently

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