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IPTV log user identification method based on user behavior characteristics

A user identification and user technology, which is applied in the intersection of IPTV technology and user identification, can solve the problem of low frequency analysis accuracy, and achieve the effect of avoiding the decline of the identification rate.

Active Publication Date: 2019-07-05
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

This makes the log mixed with the characteristics of multiple users, making the traditional frequency analysis accuracy rate not high

Method used

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  • IPTV log user identification method based on user behavior characteristics
  • IPTV log user identification method based on user behavior characteristics
  • IPTV log user identification method based on user behavior characteristics

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Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] Such as figure 1 A method for identifying users of IPTV logs based on user behavior characteristics is shown. First, the user log files are preprocessed, and the users of each IPTV device are segmented according to time segments, and time segments with similar characteristics are merged. Then segment the user data that needs to be ide...

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Abstract

The invention discloses an IPTV (internet protocol television) log user identification method based on user behavior characteristics. The method comprises the following steps of 1, selecting logs of several consecutive days as the original data; 2, smashing the original data into a plurality of time periods through a clustering algorithm, analyzing the score of the user on the channel in each timeperiod, and merging the time periods with similar characteristics to generate the characteristic data; 3, repeating the step 2 for the data to be identified to obtain the pre-matched data; and 4, matching the pre-matched data with the feature data, and counting the user with the most repeated times as the output. The method provided by the invention can identify the anonymous user with the higheraccuracy, and can help an investigation organization to identify the identity of the anonymous suspect faster and more accurately in practice.

Description

technical field [0001] The present invention relates to the intersecting technical field of IPTV technical field and user identification, in particular to an IPTV log user identification method based on user behavior characteristics. Background technique [0002] Nowadays, social crimes are happening every day, and fugitive criminal suspects often anonymize their digital behavior, making it difficult to identify and track their identities. With the rapid development of Internet Protocol Television (IPTV) technology, IPTV has begun to spread to every family, and rich IPTV user behavior logs make it possible to identify suspects based on IPTV user behavior characteristics. [0003] In the IPTV system, user viewing behavior characteristics refer to the characteristics of different people watching channels such as duration, frequency, time period, etc., which can accurately distinguish different users, and IPTV log data can be extracted through the set-top box of the user's home...

Claims

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Application Information

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IPC IPC(8): G06F16/78G06F16/71G06F16/18G06K9/62G06Q50/26
CPCG06Q50/26G06F18/23213G06F18/22
Inventor 杨灿谢伟锟袁启虎
Owner SOUTH CHINA UNIV OF TECH
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