WO2023033684A1 - Procédé d'information mobile d'abonnés de réseau cellulaire - Google Patents

Procédé d'information mobile d'abonnés de réseau cellulaire Download PDF

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Publication number
WO2023033684A1
WO2023033684A1 PCT/RU2022/050276 RU2022050276W WO2023033684A1 WO 2023033684 A1 WO2023033684 A1 WO 2023033684A1 RU 2022050276 W RU2022050276 W RU 2022050276W WO 2023033684 A1 WO2023033684 A1 WO 2023033684A1
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WO
WIPO (PCT)
Prior art keywords
sms
classification
template
type
traffic
Prior art date
Application number
PCT/RU2022/050276
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English (en)
Russian (ru)
Inventor
Евгений НЕКРАСОВ
Original Assignee
Акционерное Общество "Квантум А Рус"
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from RU2021126096A external-priority patent/RU2777657C2/ru
Application filed by Акционерное Общество "Квантум А Рус" filed Critical Акционерное Общество "Квантум А Рус"
Publication of WO2023033684A1 publication Critical patent/WO2023033684A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12—Messaging; Mailboxes; Announcements
    • H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/18—Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals

Definitions

  • a method of mobile informing cellular subscribers is a method of mobile informing cellular subscribers.
  • the present invention relates to the field of telecommunications, in particular to a2p services of automatic CMC (SMS/MMS/USSD/PUSH) mailing lists of cellular operators intended for mobile informing subscribers.
  • the invention can be used in cellular communication networks of GSM, IN, IMS standards.
  • the SMS mailing service, the a2p service and mobile informing are identical.
  • SMS mailing services are known and widely used for mobile informing cellular subscribers about events generated by their behavior. For example, an order in an online store, payment with a bank card, a one-time password for entering a social network, etc. Bulk SMS mailings are carried out for advertising purposes.
  • SMS mailing services are made according to the web service model, which provides for the payment by the user of the service to the service provider of a subscription to the web service and / or post-payment for the SMS traffic generated by him.
  • Users of SMS mailing services are heterogeneous business entities (online stores, banks, social networks, etc.).
  • SMS service providers are mobile operators (operator).
  • Tariffication of SMS mailing for the user is different and depends on the type of SMS.
  • Cellular operators charge different SMS prices depending on its type - transactional (account balance notification), service (one-time password), authorization (authorization code on the site), informational (order delivery message), advertising (commercial offer), and etc.
  • the syntax rules of SMS messages according to belonging to a certain type are determined by an agreement between the user and the operator.
  • the economic feasibility of different tariffing by type of SMS is the ability to flexibly apply marketing tools (price, discounts, service packages, etc.). They help attract diverse users - from small online stores to large banks.
  • the economic advantage of different tariffs by SMS type is the ability to choose a more economical type of SMS distribution for their business tasks.
  • SMS Short XXXX
  • you have received XXX XXX XXX XXX credited to your account corresponds to the transaction type at the rate of 1 rub. for SMS.
  • the user generates CMC mailing "Dear customer, 100 bonuses for purchases in our store have been credited to your account.”
  • the SMS syntax formally corresponds to the transactional type, but semantically obviously refers to the advertising type at the rate of 2 rubles. for SMS.
  • the classification server will assign a transactional type to this SMS, and the billing will charge the SMS as transactional.
  • Subscribers will receive an advertising mailing, and the operator will receive less than 1 rub. for SMS due to the substitution of the type of SMS.
  • the operator in order to prevent the loss of part of the income due to the substitution of the type of SMS traffic, is forced to use complex and expensive technical means (semantic analysis and neuro classification) on the classification server to correctly recognize the type of SMS traffic online.
  • the proposed method for mobile informing cellular subscribers is aimed at solving the problem of reliably determining and recognizing the template and type of SMS in order to properly charge SMS traffic without losing classification accuracy.
  • the method also provides an increase in the performance of technical means of the SMS mailing service and an expansion of the arsenal of tasks to be solved by the SMS mailing service.
  • the applicant's patent 2697648 "Traffic classification system" is known, which is taken as a prototype, according to which SMS is received through the network interface, its scheme is determined and divided into semantic fields.
  • the administrator defines an informal template and a probability factor for assigning SMS to a certain category.
  • the informal pattern is converted into a regular expression regex. Apply the regular expression regex to the meaningful fields of the message and submit the message to the input of the neural network. And the result of the classification of the message by the neural network is corrected in accordance with a certain probability coefficient by the system administrator.
  • the proposed method provides a reduction in SMS traffic processing delays, an increase in SMS traffic processing performance, a given classification accuracy and an expansion of the arsenal of tasks to be solved by technical means of an SMS traffic classification server due to: .
  • Exceptions for assigning templates and the probability coefficient for a template to be assigned to a certain category by the service administrator. Replacing the time-consuming semantic analysis of SMS traffic online with a preliminary check of the template, storing it in the memory of the SMS classification server and templating SMS traffic online. .
  • the economic effect of the proposed method is to increase the reliability of SMS traffic classification and the possibility of performing additional operator business scenarios.
  • the technical effect of the claimed method is to increase the automation of the administration of the classification system, simplify the technical appearance of the classification system and increase the performance of the classification server.
  • the expansion of the arsenal of tasks to be solved consists in the allocation of two modes of operation of the classification server - the main one for classifying SMS and an additional one for special business scenarios without their mutual influence on the performance and results of each separately.
  • the technical objective of the invention is to improve the performance of the technical means of the SMS traffic classification system, improve the accuracy of the SMS traffic classification, as well as simplify the administration and architecture of the SMS traffic classification system.
  • the technical problem is solved due to the method of mobile informing cellular subscribers, according to which the cellular operator provides the user of the SMS distribution service with software that interacts with the network node that performs the classification of SMS traffic and is made with the ability to determine the template and type of SMS, by the technical means of the network node that performs the classification SMS traffic performs preliminary reception, CMC template checking and storing, online performs basic checking and classification of SMS by type using a pre-stored CMC template, and the SMS template includes up to six auto-substitution variables.
  • the technical objective of the invention is to expand the arsenal of tasks to be solved by technical means of the SMS traffic classification system.
  • the technical problem is solved due to the method of mobile informing cellular subscribers, according to which the cellular operator provides the user of the SMS distribution service with software that interacts with the network node that performs the classification of SMS traffic and is made with the ability to determine the template and type of SMS, by the technical means of the network node that performs classification of SMS traffic is performed by preliminary reception, verification and storage of the SMS template, in online mode it performs the main verification and classification of SMS by type using the SMS template previously stored in the memory and additional verification and classification of SMS by type by a neural network, the result of which is corrected in accordance with a constant probability coefficient for assigning a message to a particular type, and the SMS template includes up to six auto-substitution variables.
  • the software that interacts with the network node that performs the classification of SMS traffic can be implemented as a web, mobile or console application.
  • the type of SMS is transactional, service, authorization, informational, advertising, as well as any other type of SMS in accordance with the business tasks of the user of the SMS distribution service and the mobile operator.
  • the six auto-substitution variables are denoted by symbols and take values:
  • Figure 1 shows the generalized architecture of the a2p service.
  • Figure 2 shows a generalized functional diagram of the a2p service.
  • Application - user software of the SMS mailing service is made in the format of the web interface of the user's personal account (LC), which is available to the user through a standard web browser (browser) (figure 1).
  • Application can be executed as a console (no GUI) or mobile application.
  • the main functionality of the Personal Account is the user's definition of templates and types of SMS distribution, in which these templates will be applied in accordance with the agreement between the user of the service and the operator.
  • the graphical (or console) application interface (Fig. 2) contains a list of template types: T-transactional, C-service, A-authorization, I-information, etc.
  • the Application interacts with the a2p server via the HTTP protocol to transfer user templates for pre-checking and writing to the a2p server's memory (figure 2).
  • the application can send HTTP GET, POST requests to the a2p server with data on the text of senders, recipients and SMS text to perform SMS mailings directly by the a2p server.
  • the a2p server initiates and participates in SMS distribution as an ESME sender (ESME in transmitter mode).
  • ESME ESME in transmitter mode
  • ESME is a software client in the architecture and definitions of the SMPP protocol that acts as an element of the external short message system (External Short Message Entity, SMPP protocol specification). In fact, it is a software client for initiating connections with the SMSC server (SMS center) via the SMPP protocol for sending SMS (figure 1). On the user side, it can interact with the application via consistent APIs (FIG. 2).
  • CRM - user software that performs the functions of customer relationship management (figure 2).
  • this is a standard system for processing user requests from clients, containing a database of MSISDN clients and the history of their requests.
  • A2p - SMS mailing server or mobile informing platform - a hardware and software system that classifies SMS traffic.
  • the hardware architecture of the a2p server is implemented on the X86 architecture running a Unix-like operating system.
  • the software architecture of the a2p server generally performs (figure 2):
  • A2p server performs ESME functions, interacts with the operator's billing network node for subsequent SMS billing, uses standard software tools for distribution and load balancing to process a large amount of SMS traffic.
  • the a2p server software architecture provides software interfaces and algorithms for processing USSD, SMTP, PUSH (HTTP) traffic. Processing of USSD, SMTP, PUSH (HTTP) traffic is carried out similarly to processing of SMS traffic, and also includes preliminary checking and recording of templates, basic and additional checking and classification of USSD, SMTP, PUSH (HTTP) messages.
  • MS Mobile Station
  • person - a standard mobile phone for a cellular network subscriber.
  • Pre-checking and writing the template to the memory of the a2p server is performed by the program logic of the a2p server after the user defines a new template (figure 2).
  • the program logic of the client (application) sends newly defined user-defined templates (BANK;T; “Operation on card %d completed”) and (BANK;C; “One-time password for entering %w”) to the address of the a2p server via HTTP protocol.
  • Template syntax through ";” defines: sender (BANK), template type (T-transactional, C-service), text (Card transaction, One-time login password) and a metacharacter (%d; %w) that takes values in accordance with the definition of autosubstitution variables.
  • a preliminary check may include manual moderation of the template and its type and/or programmatic checking of the syntax and semantics of the template for belonging to the declared type and the correctness of the content of the semantic fields by the technical means of the a2p server.
  • the server makes a new entry about the new template and its type in the list of user templates and writes the template and its type into memory.
  • the main mode of checking and classifying SMS traffic (figure 2) is performed by stenciling SMS arriving at the network interface and provides for:
  • the a2p program logic defines the SMS as not templated. For non-template SMS, the program logic assigns an advertising type, which is recorded in a .log file. Further, the billing of the operator charges this SMS as advertising. This logic was chosen due to the fact that the semantics of advertising messages is quite complex and requires a significant increase in the list of auto-substitution variables. This in turn would violate the requirement that auto-substitution variables be easy to use by untrained users.
  • An additional mode of checking and classifying SMS traffic performs neuro classification of SMS (figure 2).
  • the additional mode is used to execute special business scenarios of the operator, within which SMS types are allowed and used for recognition, which may not be defined and not used in the main traffic inspection and classification mode.
  • the neural network may recognize an H-obscene or M-fraudulent type of SMS, or recognize covert advertising semantics in a templated SMS (FIG. 2).
  • adBlock ad blocking service via the SMS switching channel with the subscriber.
  • the operator can be based on the result determined by the template logic in the main mode of the a2p server.
  • such logic recognition of an untemplated advertising SMS
  • the operator must make sure that there are no SMS advertising semantics, since in the general case, non-compliance with any user template is not equivalent to the presence of SMS advertising semantics.
  • a subscriber's subscription to ad blocking should not only block promotional SMS, but also ensure the delivery of useful non-promotional SMS, the syntactic structure of which, in general, may not correspond to any user template.
  • the operator can provide other business scenarios in the mode of additional verification and traffic classification - for example, recognition of M-fraudulent, N-obscene SMS, etc.
  • the operator is not bound by the types of SMS traffic defined in the mode of basic verification and traffic classification.
  • Another scenario for applying the mode of additional verification and traffic classification is rechecking the templated SMS in case of suspicion of traffic substitution within the approved template.
  • An additional mode of checking and classifying SMS traffic provides for the supply of semantic fields (field..) to the input of the trained neural network (figure 2).
  • the result of the neuroclassification is taken from the output neurons, which assign to their traffic type the value of the probability PXsh with which the neural network classifies SMS by this type of traffic.
  • the program logic of the server a2p may provide for a constant, i.e., a coefficient const Pf predetermined by the program algorithm, of referring the SMS to a certain one or more template types (figure 2).
  • the coefficient const Pf divides the values of the probability of attributing an SMS message to a certain type of RHsh, which are formed by the neural network (output neurons) into appropriate and improper.
  • the function F(PX1, const Pf) is quite simple - if the value of the probability PXsh formed by the output neuron Xsh is less than the value of the coefficient PXm ⁇ const Pf, then this type is defined as improper and is not used.
  • SMS is assigned a type whose probability value is greater than the value of the coefficient PXm> const Pf, for example, P advertising (figure 2).
  • the logic of applying the coefficient const Pf is identical to the logic of the traffic classification system according to the patent of the applicant 2697648, except for the constant value const Pf predetermined by the algorithm of the neural network software module and excluding its appointment by the system administrator.
  • the claimed technical result of the method provides due to:
  • the definition and preliminary check of the template includes the use of no more than six auto-substitution variables in the SMS template, which consist of only two letters characters and expansion operators and accept an intuitive set of values.
  • neural network classification is used only in the additional mode of operation of the a2p server, which is designed to perform special operator business scenarios on non-template SMS traffic or in some scenarios can be used to recheck templated SMS traffic. Nevertheless, in both cases, the use of neuro classification is performed outside the main mode of operation of the a2p server for its intended purpose - SMS classification for subsequent billing. This increases the performance of the a2p server and expands the arsenal of tasks it solves.
  • the constant determination of the coefficient const Pf directly in the program code of the neural network module (predetermination of const Pf) for reasons of low variability in the range of types of SMS mailings does not reduce the flexibility of the system as a whole.
  • the proposed system and method for mobile informing cellular subscribers has been tested by the applicant. According to the test results, an increase in the speed of processing SMS traffic without reducing the accuracy of classification was confirmed.

Abstract

L'invention concerne un procédé d'information mobile d'abonnés de réseau cellulaire qui utilise un logiciel d'utilisateur afin de déterminer un modèle et un type de SMS, et un logiciel de serveur afin de classer les SMS du trafic. Le logiciel de serveur pour classer les SMS du trafic fonctionne selon deux modes, à savoir un mode principal (modélisation) utilisé pour la tarification des SMS et un mode complémentaire (euristique) que l'on utilise pour les tâches commerciales de l'opérateur du réseau cellulaire. Le modèle de SMS comprend jusqu'à six variables.
PCT/RU2022/050276 2021-09-04 2022-09-02 Procédé d'information mobile d'abonnés de réseau cellulaire WO2023033684A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
RU2021126096A RU2777657C2 (ru) 2021-09-04 Способ мобильного информирования абонентов сотовой связи
RU2021126096 2021-09-04

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WO2023033684A1 true WO2023033684A1 (fr) 2023-03-09

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RU2429533C2 (ru) * 2005-06-29 2011-09-20 ВИЗА Ю.Эс.Эй., ИНК. Механизм динамического синтаксического анализа/компоновки на основе схем для синтаксического анализа мультиформатных сообщений
CN103024746A (zh) * 2012-12-30 2013-04-03 清华大学 一种电信运营商垃圾短信处理系统及处理方法
CN106161209A (zh) * 2016-07-21 2016-11-23 康佳集团股份有限公司 一种基于深度自学习的垃圾短信过滤方法及系统
CN108268554A (zh) * 2017-01-03 2018-07-10 中国移动通信有限公司研究院 一种生成垃圾短信过滤策略的方法和装置
RU2697648C2 (ru) * 2018-10-05 2019-08-15 Общество с ограниченной ответственностью "Алгоритм" Система классификации трафика

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2429533C2 (ru) * 2005-06-29 2011-09-20 ВИЗА Ю.Эс.Эй., ИНК. Механизм динамического синтаксического анализа/компоновки на основе схем для синтаксического анализа мультиформатных сообщений
US20080004049A1 (en) * 2006-06-29 2008-01-03 Lucent Technologies Inc. Smpp message processing for sms spam filtering
CN101516071A (zh) * 2008-02-18 2009-08-26 中国移动通信集团重庆有限公司 垃圾短消息的分类方法
CN103024746A (zh) * 2012-12-30 2013-04-03 清华大学 一种电信运营商垃圾短信处理系统及处理方法
CN106161209A (zh) * 2016-07-21 2016-11-23 康佳集团股份有限公司 一种基于深度自学习的垃圾短信过滤方法及系统
CN108268554A (zh) * 2017-01-03 2018-07-10 中国移动通信有限公司研究院 一种生成垃圾短信过滤策略的方法和装置
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