A Test Case Generation System Based on Neural Style Transfer
A test case generation and style technology, applied in the field of industrial control communication protocol and deep learning, can solve the problems of difficulty in achieving test depth and coverage, lack of diversity of test cases, and high requirements for professional knowledge, etc., to achieve high test coverage, Increased adaptability and protocol independence, cost reduction effects
Active Publication Date: 2020-08-25
EAST CHINA NORMAL UNIV
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[0002] In the field of traditional fuzz testing, the generation of test cases includes random generation and model-based generation. These two methods need to know the format of the protocol in advance or need manual reverse engineering to analyze the format of the protocol, which requires high professional knowledge of the participants. At the same time, this test case generation method appears to be less efficient in the whole process
When the target protocol to be tested is relatively complex, artificially designed test cases often lack diversity, and it is difficult to achieve good test depth and coverage, resulting in incomplete testing
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[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0027] The present invention constructs a test case generation system that can be widely adapted to a variety of industrial control communication protocols. Based on a large amount of traffic data in the communication system, the deep convolutional neural network is trained to obtain a specific neural network system model. The generation format is similar and the content is similar. Different traffic data realizes intelligent and ra...
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The invention discloses a network protocol test case generation system based on neural style transfer. The system includes: an original data collection module, an encoding module, a neural style transfer module and a reverse encoding module. Among them, the original data collection module collects the traffic data in the industrial control network system, and classifies the collected data with a clustering algorithm; the encoding module encodes the classified data into pictures; the neural style transfer module converts the pictures output by the encoding module into And the style picture is used as input, and the neural style conversion is performed based on the neural style transfer method. During the conversion process, the degree of style conversion is controlled through continuous training iterations; the reverse coding module converts the two-dimensional pictures output by the neural style conversion module into a one-dimensional sequence form as a test case. This test case can be directly injected into the target network for attack testing. This system can intelligently learn the protocol format, reduce the artificial learning process, and improve the efficiency of testing.
Description
technical field [0001] The invention relates to the field of industrial control communication protocols and deep learning, in particular to a test case generation system based on neural style transfer. Background technique [0002] In the field of traditional fuzz testing, the generation of test cases includes random generation and model-based generation. These two methods need to know the format of the protocol in advance or need manual reverse engineering to analyze the format of the protocol, which requires high professional knowledge of the participants. At the same time, this test case generation method appears to be less efficient in the whole process. When the target protocol to be tested is relatively complex, artificially designed test cases often lack diversity, and it is difficult to achieve good test depth and coverage, resulting in incomplete testing. As an important part of the industrial control system, the industrial control protocol is crucial to the safe o...
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IPC IPC(8): H04L12/26G06K9/62G06N3/08
CPCH04L43/08H04L43/18G06N3/08G06F18/2135G06F18/23213
Inventor 史建琦李志辉黄滟鸿蔡方达王祥丰金博
Owner EAST CHINA NORMAL UNIV