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Method and device for log correlation analysis

A correlation analysis and log technology, applied in computer security devices, special data processing applications, instruments, etc., can solve problems such as increasing I/O load, and achieve the effect of reducing quantity, improving efficiency, and improving mining efficiency

Active Publication Date: 2019-05-10
CHINA UNIONPAY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the Apriori algorithm needs to scan the database multiple times during the iterative process of "connection-pruning", which increases the I / O load.

Method used

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  • Method and device for log correlation analysis
  • Method and device for log correlation analysis
  • Method and device for log correlation analysis

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Embodiment Construction

[0016] Hereinafter, the principle of the present invention will be described with reference to the embodiments. It should be understood that the given examples are only for those skilled in the art to better understand and practice the present invention, rather than limiting the scope of the present invention. Therefore, implementation details contained in this specification should not be construed as limitations on the scope of the invention or of what may be claimed, but rather as descriptions specific to the embodiments.

[0017] figure 1 is a schematic diagram of a method for log correlation analysis according to an embodiment of the present invention. This embodiment attempts to find the maximum frequent itemsets. The obtained maximum frequent itemsets can be used to correlate items in log records with specific events, and detect system intrusions dynamically. Such as figure 1 As shown, the steps of the method are described below.

[0018] In step 110, a bit vector f...

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Abstract

The invention discloses a method and device for log association analysis. In an embodiment, the generation sequence of a candidate item set is changed based on the association rule mining algorithm of a depth-first search tree, a maximum frequent item set is preferably looked for, and mining of the frequent item set is converted into discovery of the maximum frequent item set.

Description

technical field [0001] The present invention generally relates to data mining technology, and in particular, relates to a method and device for correlation analysis of logs. Background technique [0002] Association analysis is a practical data mining technique that discovers connections between different items in a data set. For example, association analysis can be to find the connection between different commodities in the transaction database. From this, it is possible to analyze the buying habits of customers by discovering the connections between the different items in their shopping baskets. [0003] The Apriori algorithm is a frequent item set (Frequent Itemset) algorithm for mining association rules (Association Rules), which uses a breadth-first iterative search method. The algorithm finds out all frequent itemsets (frequency) according to support (Support) and generates association rules (strength) according to confidence (Confidence). Support (A->B) indicate...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/242G06F21/55G06F21/56
CPCG06F16/2425G06F21/554G06F21/562G06F2221/034
Inventor 徐燕军何朔华锦芝邢璐杨阳杜学凯
Owner CHINA UNIONPAY
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