本文選題：DPI技術(shù) + 推薦系統(tǒng)　； 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：在互聯(lián)網(wǎng)飛速發(fā)展的今天,數(shù)據(jù)業(yè)務(wù)急劇增長(zhǎng)。隨著信息技術(shù)的不斷發(fā)展,各種新的應(yīng)用層出不窮,但由于缺乏有效的技術(shù)手段,許多新的應(yīng)用程序無(wú)法被感知和細(xì)化管理,導(dǎo)致網(wǎng)絡(luò)運(yùn)營(yíng)十分困難。比如流量檢測(cè),傳統(tǒng)應(yīng)用用戶(hù)使用熱度的減退等一些問(wèn)題。DPI(Deep Packet Inspection)技術(shù)的出現(xiàn),為移動(dòng)互聯(lián)網(wǎng)運(yùn)營(yíng)商帶來(lái)了曙光。本文設(shè)計(jì)并實(shí)現(xiàn)了 App應(yīng)用協(xié)議分析系統(tǒng),為IT企業(yè)內(nèi)部的業(yè)務(wù)運(yùn)營(yíng)人員提供了 App應(yīng)用識(shí)別、應(yīng)用規(guī)則庫(kù)的生成、應(yīng)用規(guī)則機(jī)器入庫(kù)和測(cè)試、App應(yīng)用推薦和深度識(shí)別庫(kù)等功能。本人通過(guò)統(tǒng)一 DPI技術(shù)分析App應(yīng)用,充分了解運(yùn)營(yíng)人員的需求,提煉出了該系統(tǒng)的開(kāi)發(fā)需求。該系統(tǒng)主要用于管理和維護(hù)使用DPI技術(shù)提取的應(yīng)用規(guī)則,能夠定期發(fā)布不同版本的規(guī)則庫(kù)、測(cè)試規(guī)則庫(kù)、加密和部署規(guī)則庫(kù),并通過(guò)規(guī)則庫(kù)識(shí)別流量信息,通過(guò)對(duì)流量數(shù)據(jù)的處理,向用戶(hù)推薦App應(yīng)用。系統(tǒng)主要功能包括App應(yīng)用分析、規(guī)則庫(kù)生成、機(jī)器規(guī)則入庫(kù)和檢測(cè)、App應(yīng)用推薦、規(guī)則庫(kù)加密、深度識(shí)別庫(kù)等功能模塊。作者獨(dú)自設(shè)計(jì)并開(kāi)發(fā)實(shí)現(xiàn)了如下六個(gè)模塊:(1)App應(yīng)用分析與管理模塊:包括App應(yīng)用管理、應(yīng)用組管理、應(yīng)用搜索、應(yīng)用協(xié)議分析等功能,重點(diǎn)實(shí)現(xiàn)了不同版本應(yīng)用組、應(yīng)用管理和應(yīng)用規(guī)則分析。(2)規(guī)則創(chuàng)建和管理模塊:包括應(yīng)用規(guī)則管理、展示、糾錯(cuò)及查詢(xún)功能,重點(diǎn)實(shí)現(xiàn)了 basic、http、ip三種應(yīng)用識(shí)別規(guī)則的管理和xml規(guī)則預(yù)覽。(3)機(jī)器規(guī)則入庫(kù)和統(tǒng)計(jì)模塊:對(duì)機(jī)器提取的應(yīng)用規(guī)則入庫(kù)、入庫(kù)規(guī)則審核、應(yīng)用規(guī)則信息統(tǒng)計(jì)等功能,重點(diǎn)實(shí)現(xiàn)了機(jī)器規(guī)則入庫(kù)和審核。(4)規(guī)則庫(kù)生成和測(cè)試模塊:包括對(duì)三種規(guī)則的xml文件生成、規(guī)則測(cè)試、規(guī)則庫(kù)信息管理等功能,重點(diǎn)實(shí)現(xiàn)了三種規(guī)則的xml文件生成。(5)App應(yīng)用推薦模塊:包括用戶(hù)話(huà)單數(shù)據(jù)清洗、協(xié)同過(guò)濾算法實(shí)現(xiàn)、推薦算法優(yōu)化等功能,重點(diǎn)實(shí)現(xiàn)了 App應(yīng)用推薦。(6)規(guī)則庫(kù)加密與深度識(shí)別模塊:包括規(guī)則庫(kù)加密解密、應(yīng)用管理、應(yīng)用內(nèi)容展示、應(yīng)用重點(diǎn)動(dòng)作管理等。該系統(tǒng)的功能測(cè)試結(jié)果表明,App應(yīng)用協(xié)議分析系統(tǒng)滿(mǎn)足了對(duì)于常見(jiàn)手機(jī)應(yīng)用規(guī)則管理、規(guī)則庫(kù)管理、App應(yīng)用推薦等功能要求,并通過(guò)分析系統(tǒng)運(yùn)行時(shí)用戶(hù)操作的實(shí)際情況,優(yōu)化了規(guī)則庫(kù)生成過(guò)程中對(duì)應(yīng)用的動(dòng)態(tài)管理。目前,該系統(tǒng)暫處于內(nèi)部測(cè)試與試運(yùn)行階段,正式上線(xiàn)后,系統(tǒng)將為公司節(jié)省更大的人力成本并提高大數(shù)據(jù)方面的業(yè)務(wù)收入。
[Abstract]:In the rapid development of the Internet today, the rapid growth of data services.With the continuous development of information technology, various new applications emerge in endlessly, but due to the lack of effective technical means, many new applications can not be perceived and refined management, resulting in network operation is very difficult.For example, some problems such as traffic detection, the decline in the heat used by traditional users, and so on. The emergence of DPII Deep Packet Inspection technology has brought the dawn to mobile Internet operators.This paper designs and implements a App application protocol analysis system, which provides App application identification, application rule base generation, application rule machine input, application recommendation and depth recognition library for the business operators in IT enterprises.Through unified DPI technology to analyze App applications, I fully understand the needs of operators, and extract the development requirements of the system.The system is mainly used to manage and maintain the application rules extracted by using DPI technology. It can regularly publish different versions of rule base, test rule base, encrypt and deploy rule base, and identify traffic information through rule base.The App application is recommended to the user through the processing of the traffic data.The main functions of the system include App application analysis, rule base generation, machine rule entry and application recommendation, rule base encryption, depth recognition library and so on.The author has designed and implemented the following six modules: App application management, application group management, application search, application protocol analysis and so on.Application management and application rule analysis. 2) Rule creation and management module: including application rule management, presentation, error correction and query functions,The functions of three kinds of application recognition rules management and xml rule preview and statistics module are implemented, such as the input of the application rules, the audit of the rules, the statistics of the rules, and so on, and the functions of this module are as follows: (1) the key functions of this paper are as follows: (1) the management of the three kinds of application recognition rules and the previews of the xml rules.The module of generating and testing the machine rule base and auditing rule base is implemented, which includes the functions of xml file generation, rule test, rule base information management and so on, which include three kinds of rules, such as: xml file generation, rule test, rule base information management and so on.This paper focuses on the implementation of three kinds of rules of xml file generation. The application recommendation module includes user data cleaning, collaborative filtering algorithm implementation, recommendation algorithm optimization and other functions, including user data cleaning, collaborative filtering algorithm implementation, recommendation algorithm optimization and so on.The encryption and depth recognition module of App application recommendation. 6) rule base includes rule base encryption and decryption, application management, application content display, application key action management and so on.The function test results of the system show that the application protocol analysis system meets the functional requirements of common mobile phone application rule management, rule base management and application recommendation, and analyzes the actual situation of user operation while the system is running.The dynamic management of the application in the process of rule base generation is optimized.At present, the system is currently in the stage of internal testing and trial operation. After the system is officially launched, the system will save the company more labor costs and increase big data's business income.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP311.56

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