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An unstructured p2p resource search method based on machine learning and network node reputation

A network node, unstructured technology, applied in the field of network communication search, can solve the problems of slow learning rate, speed up machine learning, poor service security, etc., to improve the success rate, make up for the lack of Q table information, and ensure security Effect

Active Publication Date: 2016-08-10
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0010] Aiming at the problems that Q-learning uses random blind forwarding requests at the beginning of the query, the learning rate is slow and the service security is poor, the purpose of the present invention is to provide an unstructured P2P resource search method based on machine learning and network node reputation, which can speed up Machine learning speed, reducing resource query time, improving search success rate, while ensuring the security and reliability of services

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  • An unstructured p2p resource search method based on machine learning and network node reputation
  • An unstructured p2p resource search method based on machine learning and network node reputation
  • An unstructured p2p resource search method based on machine learning and network node reputation

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, the present invention will be further described:

[0027] see figure 1 Shown: a kind of unstructured P2P resource search method based on machine learning and network node reputation, comprises the following steps:

[0028] Step 1, set the time to live; when a certain network node receives a resource request message including the source network node ID, resource name and time to live TTL, set the initial value of the time to live TTL to 10;

[0029] Step 2: Determine whether the target resource exists in the network node; the network node checks whether the target resource exists locally, if it is Y, that is, the target resource exists locally, then directly returns the resource response message of the source network node; if it is N, that is, the target resource does not exist locally , add the resource request message to the local network node as a new message;

[0030] Step 3, judging the time-to-live of the request me...

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Abstract

The invention relates to an unstructured P2P resource search method based on machine learning and network node reputation, comprising the following steps: Step 1, setting the survival time; Step 2, judging whether there is a target resource in the network node; Step 3, judging the request message Time to live; step 4, judge whether the Q value of the target resource in the Q table is empty; step 5, calculate the reward; step 6, search for the target resource; search for resources in neighboring network nodes, until the target resource is found or the TTL is 0 and the end . The invention can accelerate machine learning speed, reduce resource query time, improve search success rate, and guarantee service safety and reliability.

Description

technical field [0001] The invention relates to a network communication search method, in particular to an unstructured P2P resource search method based on machine learning and network node reputation. technical background [0002] With the rapid development of network technology and the wide application and rapid popularization of the Internet in various fields of social life, the amount of information and the number of users are increasing day by day, making the existing C / S mode (Client / Server, client / server) unable to meet And support large-scale network applications, resulting in P2P technology. P2P is Peer-to-Peer, also known as peer-to-peer computing or peer-to-peer network, which is an overlay network built on top of the physical network. At present, P2P technology has been widely used in file sharing, peer-to-peer computing, collaborative work, instant messaging and many other fields. As one of the key technologies of the future network, P2P is to provide reliable...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F17/30
Inventor 刘焕淋陈高翔秦亮周邦陶肖维仲孙龙钊
Owner CHONGQING UNIV OF POSTS & TELECOMM
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