A method, system, device, and storage medium for abnormal identification of blockchain

An abnormal identification and blockchain technology, applied in the blockchain field, can solve problems such as injustice, user loss, and uneven mining income for users

Active Publication Date: 2021-07-06
HANGZHOU FUZAMEI TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the continuous development and application of blockchain technology, stability issues have become increasingly prominent. In the POS and Dpos consensus mechanisms, if there is no abnormal rollback of the block, the share / equity held by the user and the income are positively correlated , if the block rollback is abnormal, it may cause uneven and unfair mining income for users, resulting in the loss of users and the decline of user trust
Due to the decentralized nature of the blockchain network, there is no centralized collection and management tool for blockchain stability detection and anomaly detection, especially for mining revenue calculation and positioning linked to user revenue. challenge

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method, system, device, and storage medium for abnormal identification of blockchain
  • A method, system, device, and storage medium for abnormal identification of blockchain
  • A method, system, device, and storage medium for abnormal identification of blockchain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] A blockchain anomaly identification method, such as figure 1 As shown, including: S101, obtain the share of the mining address; S102, sort the mining address according to the number of shares; S103, select N mining addresses according to the share within the set window value range, as a mining address group; S104. Calculate the difference ΔP between the maximum share and the minimum share of the mining address in the mining address group; S105. Keep the mining address group whose ΔP is less than the set share reference difference, and discard the mining address group whose ΔP is greater than the set share reference difference. Address group; S106. Sliding the window to obtain the mining address group whose ΔP is less than the set share reference difference.

[0029] N is the set window value. The set window value and the set share reference difference are all empirical values, which are determined by considering the number of nodes in the blockchain network system and t...

Embodiment 2

[0039] A block chain abnormal identification system, according to the above-mentioned a block chain abnormal identification method, a mining address share statistics module is used to select qualified mining address groups according to the above-mentioned method; A mining address group identifying unit, configured to identify abnormal mining address groups according to the method described above. The abnormal mining address group identification unit is also used to check the rollback number of each mining address in the abnormal mining address group, locate the mining address with too large rollback number, and complete the positioning of the abnormal mining address.

[0040] The system can exist in the blockchain network in a centralized (similar to existing centralized application software) or decentralized form (such as smart contracts, DAPP, etc.), and is used to detect whether the mining address mining is abnormal or not.

Embodiment 3

[0042] An apparatus comprising: one or more processors; memory for storing one or more programs which, when executed by the one or more processors, cause the One or more processors execute the method as described above.

[0043]A storage medium storing a computer program, when the program is executed by a processor, implements the method described in Embodiment 1 above.

[0044] image 3 It is a schematic structural diagram of a device provided by an embodiment of the present invention.

[0045] Such as image 3 As shown, as another aspect, the present application also provides a device 500, including one or more central processing units (CPU) 501, which can be 508 programs loaded into random access memory (RAM) 503 to execute various appropriate actions and processes. In the RAM 503, various programs and data necessary for the operation of the device 500 are also stored. The CPU 501 , ROM 502 , and RAM 503 are connected to each other via a bus 504 . An input / output (I / O...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a blockchain abnormality identification method, system, equipment and storage medium, and relates to the technical field of blockchain. Including: obtaining the share of the mining address; sorting the mining address according to the share; selecting N mining addresses according to the share within the set window value range, as a mining address group; calculating the number of mining addresses in the mining address group The difference ΔP between the maximum share and the minimum share of the mining address; retain the mining address group whose ΔP is less than the set share benchmark difference, and discard the mining address group whose ΔP is greater than the set share benchmark difference; sliding window, get ΔP less than the set share benchmark Poor mining address group. By collecting the block rollback data of the user's mining address, and using a mathematical method to accurately locate the abnormal data and evaluate the network stability, it can effectively measure whether the current network is stable and whether there is abnormal mining.

Description

technical field [0001] The present invention relates to technical fields such as block chains, and in particular to a block chain abnormality identification method, system, equipment, and storage medium. Background technique [0002] With the continuous development and application of blockchain technology, stability issues have become increasingly prominent. In the POS and Dpos consensus mechanisms, if there is no abnormal rollback of the block, the share / equity held by the user and the income are positively correlated , if the block rollback is abnormal, it may cause uneven and unfair mining revenue for users, resulting in the loss of users and a decline in user trust. Due to the decentralized nature of the blockchain network, there is no centralized collection and management tool for blockchain stability detection and anomaly detection, especially for mining revenue calculation and positioning linked to user revenue. challenge. Contents of the invention [0003] 1. The...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26H04L29/08
CPCH04L43/0805H04L67/568
Inventor 虞康何玉斌王志文吴思进
Owner HANGZHOU FUZAMEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products