Malicious code detection method based on SDN (Software Defined Networking)

A malicious code detection and malicious code technology, applied in the field of computer network security, can solve the problem of high computational consumption of malicious code

Active Publication Date: 2016-09-21
GUANGDONG POLYTECHNIC NORMAL UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of finding malicious codes in the large-scale and high-dimensional network security data of the SDN network, which consumes a lot of computing power

Method used

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  • Malicious code detection method based on SDN (Software Defined Networking)
  • Malicious code detection method based on SDN (Software Defined Networking)

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Embodiment Construction

[0019] The roadmap of the present invention is as figure 1 shown.

[0020] In actual detection, the flow table data collection module periodically sends flow table requests to the OpenFlow switch, and the flow table information replied by the switch is transmitted to the flow table collection node through an encrypted channel. According to the result of feature analysis, the flow feature extraction module receives the flow table data collected by the flow table collection module, and extracts related m flow features to form m-tuples. Each m-tuple uses the ID of the switch that collected the data as identification, so that it is possible to monitor which SDN switch discovers a certain type of malicious event. The classifier module is responsible for classifying the collected m-tuples to distinguish which type of abnormal traffic or normal traffic is the traffic during the period.

[0021] (1) OpenFlow flow table feature selection and importance ranking

[0022] The OpenFlow ...

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Abstract

The invention discloses a malicious code detection method based on an SDN (Software Defined Networking), and belongs to the technical field of computer network security. New opportunities and challenges of solving detection and prevention problems of malicious codes under new architecture are brought to a network information security field by a brand new design concept of separating control and forwarding of the SDN. According to the method, through analysis of an SDN switch flow table characteristic selection method, a security data ranking and dimension reduction method for traffic characteristic selection based on OpenFlow is provided; on this basis, through comparison of influences on the operation time of different classification algorithms after characteristic selection, a reduction dimension m selection problem is analyzed, and the optimum characteristic subsets and matched classification algorithms corresponding to different kinds of malicious codes are found; the propagation characteristics and evolution models of the malicious codes in an SDN mobile environment are analyzed, thereby obtaining the influences of a node migration rate in a mobile network on the infection condition and explosion time of the malicious codes in a source sub-network and a target sub-network, and the influences have reference values on the routing control of the SDN controller to the switch nodes or host nodes.

Description

technical field [0001] The invention belongs to the technical field of computer network security. Background technique [0002] As a new network architecture based on software technology, the new design concept and innovative application of SDN (Software Defined Networking) have brought new opportunities and challenges to the field of network information security. Since SDN uses centralized control, intuitively, it means greater security risks. On the other hand, SDN is also impacting traditional security protection technologies. Due to the separation of SDN network control and forwarding, loopholes brought by various open applications are inevitable. Malicious codes include computer viruses, network worms, Trojan horses, logic bombs and DDOS attacks, etc. For SDN networks, the analysis and detection of malicious code is also an important problem that needs to be solved. [0003] To this end, the invention is based on the idea of ​​SDN, and an analysis model of malicious c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/56
CPCG06F21/563G06F2221/2119
Inventor 刘兰仇云利
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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