SDN flow rule detection method based on regional growth algorithm

A technology of area growth and detection method, applied in the direction of electrical components, transmission systems, etc., can solve problems such as high cost, and achieve the effects of improving pertinence, shortening detection time, and reducing quantity

Active Publication Date: 2019-08-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Description
  • Claims
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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, an SDN flow rule detection method based on the area growth algorithm provided by the present invention solves the problem of high overhead of the existing SDN flow rule detection method

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  • SDN flow rule detection method based on regional growth algorithm

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Embodiment Construction

[0044] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0045] Such as figure 1 As shown, the SDN flow rule detection method based on the region growth algorithm comprises the following steps:

[0046] S1. Determine the dimension of the flow rule space by judging whether the MAC address, the IP address and the TCP / UDP protocol port are enabled in the flow rule;

[0047] S2. Whether a flow rule exists in the target network is recorded as sign, and the value of sign is -a or a, r...

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Abstract

The invention discloses an SDN flow rule detection method based on a regional growth algorithm, and the method mainly comprises the steps: determining the dimension of a flow rule space through judging whether an MAC address, an IP address, and a TCP/UDP protocol port are enabled in a flow rule; and searching a flow rule in the flow rule space based on the dimension of the flow rule space by adopting a region growth algorithm, performing space segmentation, taking the subspace obtained by segmentation as a new to-be-detected space to perform circular detection, and taking the flow rule obtained by detection as output to complete SDN flow rule detection based on the region growth algorithm. According to the invention, the detection flow can be greatly reduced, the detection time is shortened, and the concealment is stronger. Moreover, the method does not need to know the structure information of the target network, does not need to have the management and operation authority of the SDNcontroller and other network components, and has relatively high applicability.

Description

technical field [0001] The invention relates to a flow rule detection method, in particular to an SDN flow rule detection method based on an area growth algorithm. Background technique [0002] Software-defined network (SDN) is a new type of network architecture. Compared with traditional networks, SDN separates the control plane from the data plane. The data plane is only responsible for the most basic data forwarding function, and the traditional distribution is replaced by centralized control. control mode, which improves the flexibility of network control. The northbound programmable interface of the control plane is more suitable for the changing background of today's network requirements, making the future network gradually more efficient and intelligent. At the same time, the flexibility and openness of the SDN network also brings many hidden dangers to its own security. Since the birth of the SDN network, academia and industry have conducted a lot of research on SD...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L29/12
CPCH04L61/103H04L63/1408H04L63/1433H04L63/1441
Inventor 虞红芳张鑫刚孙罡
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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