Network state model construction method and state evaluation method based on differential manifold

A differential manifold, network state technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve the problems of missing partial paths, low computational efficiency, difficulties, etc., to achieve good computational scalability and ensure integrity. , to ensure a comprehensive effect

Active Publication Date: 2018-12-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0003] The scale of a real network system is often very large: there are a large number of nodes (hosts or service devices) in the network system, and the paths between nodes are intricate. It is very difficult for the existing evaluation methods to exhaust all possible paths, and it is easy to appear. Some paths are missing or it is difficult to exhaust all ...

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  • Network state model construction method and state evaluation method based on differential manifold
  • Network state model construction method and state evaluation method based on differential manifold
  • Network state model construction method and state evaluation method based on differential manifold

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Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with the embodiments.

[0017] The invention provides a network state model construction method and a network state evaluation method based on differential manifolds.

[0018] Differential manifold is an important class of space in topology and geometry, and it is a topological manifold with differential structure. A space can be defined as a manifold needs to meet the following two conditions: (1) the space M is a Hausdorff space; (2) The neighborhood U of p can be homeomorphically mapped to the Euclidean space R m A region V of . The dimensions of R and M are both m.

[0019] Topological manifolds have the following properties: (1) Manifold M is a locally compact topological space; (2) Manifold M is a separable space; (3) Manifold M is a regular space and normal space; (4) Manifold M is quantifiable.

[0020] Compactness theorem: Let X be a Hausdorff space, if any open cover on X has a finite...

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Abstract

The invention discloses a network state model construction method and a network state evaluation method based on a differential manifold. The invention can make the network security evaluation no longer depend on the traditional topology path, so that the calculation result has better integrity and calculation scalability. The invention abstracts the network system state as a high-dimensional differential manifold, and characterizes the network state in more detail. The network state corresponding to each point in the manifold is presented by all the attributes of each device node in the network system. The network state can be more objectively reflected by evaluating the attribute information of each device node in the network system. The network state can cover all the nodes in the network system and their attribute information, thus ensuring the integrity and comprehensiveness, and the calculation scalability is good. At the same time, the invention does not need to consider the path problem between nodes, and the path explosion problem does not exist.

Description

technical field [0001] The invention relates to the technical field of network security assessment, in particular to a method for constructing a network state model based on a differential manifold and a network state assessment method. Background technique [0002] Most of the network evaluation methods have been based on the topological path of the network and the evaluation method of the calculation of the probability on the path. For example, evaluation methods based on attack graphs, evaluation methods based on Bayesian networks, and so on. These methods abstract the network and establish a network topology model, and assign values ​​to each node on the model and the attributes on the paths between nodes. The assigned attributes will vary according to the difference in the calculation method. Then, through a certain probability calculation method (such as Bayesian probability, etc.), calculate the risk probability value of a certain path or a certain network model bein...

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/145
Inventor 胡昌振刘臻单纯赵小林郭守坤
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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