Method for identifying Android virtual machines based on category precision of equipment sensors

Abstract

The invention discloses the field of information security, in particular to a method for identifying Android virtual machines based on category precision of equipment sensors. The method for identifying the Android virtual machine based on the category precision of the equipment sensors comprises the steps that a sensor list of the test equipment is obtained through a mobile phone side, if the sensor list is empty, the test equipment can be determined as a simulator, and if the sensor list is not empty, whether or not a sensor type of standard equipment exists is detected; firstly, whether ornot a near field sensor exists is judged, and if not, the test equipment is determined as the simulator; if yes, whether or not an optical inductor exists is further judged, and if not, the test equipment is determined as the simulator; two or more sensors have the basic capabilities of actual equipment, and according to the two judgment conditions, whether or not the sensors are the Android virtual machines can be correctly identified. The method has the advantages that the loss caused by malicious operation of a fraudulent group to companies during the operation of new activities is avoided,and a security guarantee is provided for the normal network business development.

Description

technical field [0001] The invention relates to the field of information security, in particular to a method for identifying an Android virtual machine based on the accuracy of device sensor categories. Background technique [0002] At present, there are many fraud gangs in the market, using Android virtual machines to maliciously swipe bills and register maliciously, affecting the company's operations and the interests of users. [0003] The defect that the existing Android emulator identification method exists is that some parameters require user authorization, and the existing emulator can change the above parameters arbitrarily, resulting in a low recognition rate; some parameters need to obtain the data of the TCP / IP layer in network transmission, for Parsing data packets increases the difficulty and cost of development, and there is a risk of tampering at the network layer, making how to accurately identify virtual machines a major challenge for the company's marketing...

AI Technical Summary

Problems solved by technology

[0002] At present, there are many fraudulent gangs in the market, using Android virtual machines to maliciously swipe orders and register maliciously, affecting the company's operations and the interests of users

[0003] The defect that the existing Android emulator identification method exists is that some parameters require user authorization, and the existing emulator can change the above parameters arbitrarily, resulting in a low recognition rate; some parameters need to obtain the data of the TCP / IP layer in network transmission, for Parsing data packets increases the difficulty and cost of development, and there is a risk of tampering at the network layer, making how to accurately identify virtual machines a major challenge for the company's marketing

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