User call behavior model generating method applicable to spam voice filtering

A user and behavior technology, applied in the direction of monitoring/monitoring/test arrangement, etc., can solve the problem of difficult to find the call behavior of spammers disguised

Active Publication Date: 2014-04-09
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the existing detection mechanism based on the call model is difficult to detect the fake call behavior of spammers, which has certain defects

Method used

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  • User call behavior model generating method applicable to spam voice filtering
  • User call behavior model generating method applicable to spam voice filtering
  • User call behavior model generating method applicable to spam voice filtering

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Embodiment Construction

[0067] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0068] The model for describing user calling behavior provided by the present invention includes a plurality of basic parameters of calling behavior, mainly composed of four parameters such as calling user, called user, calling time, and duration. On the basis of these four parameters, three different enhanced call behavior features are further constructed, including call interaction feature CI,...

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Abstract

The invention discloses a user call behavior model generating method applicable to spam voice filtering. The user call behavior model generating method comprises the following steps that: call interactive behavior characteristics (CI) are established and are used for describing related behavior characteristics of specified users which are adopted as a calling user and a called user, wherein the call interactive behavior characteristics (CI) further include incoming call / outgoing call ratios, call interactive recording characteristic value and interaction strength, and distribution of the incoming call / outgoing call ratios and the call interactive recording characteristic value and interaction strength; call frequency and distribution thereof FCD are established and are used for describing the characteristics of call time in call records, wherein the characteristics of the call time in call records include call frequency values and call frequency value time distribution in a specified statistical duration; and call lasting time and distribution thereof DCT are established and are used for describing the characteristics of lasting time in the call records, wherein the characteristics of the lasting time in the call records include call answering refusal proportions, call average lasting time and histogram distribution of the call lasting time. With the user call behavior model generating method applicable to the spam voice filtering of the invention adopted, a technical problem that a camouflaged call behavior of a spam voice transmitter is hard to find can be solved.

Description

technical field [0001] The invention belongs to the fields of spam voice filtering and data mining, and more specifically relates to a method for generating a user call behavior model suitable for spam voice filtering. Background technique [0002] With the combination of fixed network, mobile communication network and Internet, voice service has been widely used. However, due to the impact of voice spam, voice services have encountered obstacles to business expansion. While ensuring normal communication of users, it is necessary to restrict malicious users in a timely manner. Most of the existing spam voice filtering technologies are improved on the basis of spam email and spam short message filtering technologies, which can detect and filter spam voice to a certain extent. However, the content nature of voice spam is different from that of spam, and the filtering technology of spam has certain limitations. Spam is mostly filtered by text, while voice spam is multimedia i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04M3/22
Inventor 王非
Owner HUAZHONG UNIV OF SCI & TECH
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