Behavior time series based block-chain node clustering method

A technology of time series and clustering method, applied in the field of blockchain

Inactive Publication Date: 2017-06-13
HANGZHOU YUNXIANG NETWORK TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] In order to solve the problem of clustering and analyzing blockchain nodes, the present invention provides a blockchain node clustering method based on behavioral time series, which can automatically cluster blockchain nodes into several categories according to their behavioral time series cluster

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  • Behavior time series based block-chain node clustering method

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Embodiment Construction

[0017] In order to describe the present invention more specifically, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0018] The block chain node clustering method based on behavioral time series of the present invention comprises the following steps:

[0019] 1. Extract the behavioral time series of each blockchain node. The information of each blockchain node includes account balance, monthly (or weekly) transaction frequency, transaction amount, speed of producing blocks, etc. For a single node, the sequence of its valuable information (such as transaction amount) changing over time is extracted as the feature of user behavior, which is recorded as the node's behavior time series.

[0020] 2. Calculate the similarity between every two behavioral time series. The similarity of time series is calculated using dynamic time warping algorithm DTW. DTW is chosen to be abl...

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Abstract

The present invention discloses a behavior time series based block-chain node clustering method. According to the method, clustering can be carried out on the block-chain nodes, and according to the behavior time series, the block-chain nodes can be divided into a plurality of class clusters that are internally and mutually similar, so that maintenance of a large number of nodes and discovery of nodes with abnormal behavior are facilitated; and at the same time, users can choose and use some attributes (such as transaction amount and transaction frequency) of nodes to construct time series according to their own needs.

Description

technical field [0001] The invention belongs to the technical field of block chains, and in particular relates to a block chain node clustering method based on behavioral time series. Background technique [0002] Blockchain (Blockchain) technology is the underlying technology for maintaining public ledgers in a decentralized and mutual distrust environment. Its essence is to realize a distributed and non-tamperable transaction ledger based on cryptographic methods, and each node in the blockchain network keeps a public ledger that records all transactions. [0003] In a public blockchain network, any entity can apply to become a node in the network. Therefore, there are often a large number of nodes in the public chain, some of which may try to cheat in the network to gain illegal profits, hacker nodes may intentionally disrupt the normal operation of the network to demonstrate technology, and hostile nodes may plot to plunge the entire network into paralysis. Therefore,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23
Inventor 刘振广黄步添陈建海杨文龙温琪王云霄王从礼
Owner HANGZHOU YUNXIANG NETWORK TECH
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