Distributed intrusion detection method based on ant colony algorithm

A fusion algorithm and intrusion detection technology, applied in the direction of prediction, calculation, energy consumption reduction, etc., to achieve the effect of ensuring security and prolonging the life cycle

Active Publication Date: 2018-01-19
潘晓君
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But in general, intrusion detection methods need to be further studied and improved. In the face of increasingly complex high-speed networks and increasingly novel intrusion and attack methods, detection accurac...

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  • Distributed intrusion detection method based on ant colony algorithm
  • Distributed intrusion detection method based on ant colony algorithm
  • Distributed intrusion detection method based on ant colony algorithm

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Embodiment 1

[0040] This embodiment provides a distributed intrusion detection method based on an attribute decision-making ant colony fusion algorithm, including the following steps:

[0041] Step S1: Initialize the network of sensors in the distributed network environment, set the initial parameters of the ant colony algorithm based on attribute decision-making, construct the definition rules of the network intrusion detection decision tree, and construct the intrusion detection feature library and virus analysis log files.

[0042] Step S2: Optimization of sensor network data fusion path:

[0043] In the process of sensor network data fusion, first determine the order and number of sensor nodes to be visited in the network, start from the sink node, visit the nodes and collect useful information, and finally bring the data fusion results back to the sink node, so that the access nodes The more information collected, the more complete the collected information, but the energy consumption...

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Abstract

The invention discloses a distributed intrusion detection method based on an ant colony algorithm. The distributed intrusion detection method comprises the following processes: starting, initializinga distributed sensor, setting parameters of the ant colony algorithm based on attribute decision making, constructing a decision tree structure definition rule, setting ants on sensor nodes, determining a next node of data fusion, partially updating the information factors of an ant selection path, trimming the decision tree, and updating all information factors of the ant selection path, if an optimal path is not discovered, returning to the step of partially updating the information factors of the ant selection path; and finding the optimal path, creating the optimal path, and fusing data information. Compared with the prior art, the distributed intrusion detection method has the advantages of improving the detection efficiency of data intrusion in a network system, reducing the energy consumption and effectively guaranteeing the security of the distributed network system.

Description

technical field [0001] The invention relates to a network intrusion detection method, in particular to a distributed intrusion detection method based on an ant colony fusion algorithm. Background technique [0002] With the development and wide application of computer network technology, network intrusion incidents occur more and more frequently, causing more and more serious harm, and network security problems are becoming more and more prominent. Network intrusion detection has become a new research and development in the field of network security. hotspot. [0003] Intrusion detection refers to a security technology that collects information from several key points in a computer network or computer system and analyzes it to find out whether there are behaviors that violate security policies and are attacked in the network or system. Use the intrusion detection system based on intrusion detection technology to monitor the computer network and network-based systems, and ad...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04W24/06G06Q10/04
CPCY02D30/50Y02D30/70
Inventor 潘晓君李如平张佑春
Owner 潘晓君
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