Network attack traffic generation method based on auxiliary classification type generative adversarial network

A network attack and network traffic technology, applied in the field of network attack traffic generation based on auxiliary classified generation confrontation network, can solve complex industrial application scenarios where simulation performance needs to be improved, virtual devices cannot be provided by users, and the number of modeling and simulations is limited, etc. problem, to achieve the effect of guaranteeing stability, high accuracy, and speeding up training
CN113158390AActive Publication Date: 2021-07-23BEIJING UNIV OF POSTS & TELECOMM +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF POSTS & TELECOMM
Publication Date
2021-07-23

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Abstract

The invention discloses a network attack traffic generation method based on an auxiliary classification type generative adversarial network, and the method can generate a malicious traffic sample which can cheat and escape from the detection of a defense system according to an existing network attack traffic data set sample by utilizing the principle of the generative adversarial network. The system comprises: a multi-source heterogeneous data fusion processing module which is responsible for defining a unified data format; a generator network which is responsible for generating a network statistical flow sample according to Gaussian noise and feedback from the discriminator; a discriminator network which is responsible for analyzing the attack traffic sample generated by the generator and the original network traffic sample, including authenticity analysis and attack traffic category analysis; and a classification fine tuning module which is responsible for debugging the performance of the generation model for generating specific types of traffic samples. According to the method, the network attack traffic generation model based on the auxiliary classification type generative adversarial network is constructed, the network attack traffic sample of a specific type can be generated according to the type of the network attack when the network traffic is generated, and the network attack can be simulated by generating the adversarial sample to detect the robustness of the existing intrusion detection system, and a new thought is provided for the existing traffic generator.
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Description

technical field

[0001] The invention relates to the fields of network security and industrial Internet network simulation, and specifically designs a method for generating network attack traffic based on an auxiliary classified generation confrontation network. Background technique

[0002] With the continuous deepening of the research and application of the industrial Internet architecture, the key role of the traffic model in line with the actual situation in the performance evaluation of the new network architecture has become more and more obvious. The construction of complex multi-industry industrial Internet traffic characteristics security Testing traffic simulators is imperative.

[0003] Due to the complex industrial Internet application scenarios, numerous dedicated protocols, and huge traffic data scale, in order to ensure the security of industrial Internet equipment, control, network, platform, and data, it is necessary to strengthen the security testing work fo...

Claims

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