基于SIP的SPIT防御方案的設(shè)計(jì)與實(shí)現(xiàn)
[Abstract]:Absrtact: with the introduction of IP multimedia subsystem (IP Multimedia Subsystem, IMS), the report predicts that the number of (Voice over Internet Protocol, VoIP) users will increase. Accordingly, in the next few years, (Spam over Internet Telephony, SPIT) will become a very serious problem. SPIT, refers to a large number of unsolicited calls over the VoIP network. By playing real-time media information to be called to sell goods, commercial advertising or malicious calls, the normal user life caused serious problems, serious waste of network resources. Make it impossible for public service departments to provide timely and effective services to the public. The main work of this thesis is as follows: firstly, the anti-spam telephone technology proposed by IETF (Internet Engineering Task Force) and other organizations is analyzed. It is not difficult to find that although a large number of SPIT defense methods have been proposed, the related research is still in an initial stage. Then, this paper designs a more effective SPIT defense scheme, which is based on the session initiation protocol (Session Initiation Protocol, SIP), because the SIP solution dominates the current enterprise market. The scheme consists of three key mechanisms, which can detect both machine initiated SPIT, and filter manual initiated SPIT,. The first mechanism is based on the Turing test principle and uses a discriminant system to solve the "first call" problem in the field of SPIT research. The second mechanism is to design a SPIT classifier using probabilistic neural network (Probabilistic Neural Network, PNN),). The third mechanism in this paper, called Honey Machine (Honeyphone), is inspired by honeypot (Honeypot). Finally, three mechanisms are implemented, and the results of test and analysis show that the overall scheme has good performance in completeness, real-time and usability. At the same time, the advantages and disadvantages of the existing technical scheme are summarized. In general, the proposed scheme is effective. These three mechanisms can achieve independent functions and can also be deployed in different locations. This paper proposes to combine the three mechanisms and combine the information to make the decision more accurate.
【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】:2011
【分類(lèi)號(hào)】:TN916.2
【參考文獻(xiàn)】
相關(guān)期刊論文 前5條
1 何光宇;聞?dòng)⒂?趙宏;;基于反饋評(píng)判的SPIT檢測(cè)與防范方法[J];東北大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年04期
2 羅銘;聞?dòng)⒂?趙宏;;FMC網(wǎng)絡(luò)垃圾語(yǔ)音過(guò)濾系統(tǒng)的設(shè)計(jì)與分析[J];電信科學(xué);2007年02期
3 曾鷺鷺;陳一民;;基于SIP協(xié)議的IP電話(huà)服務(wù)器的設(shè)計(jì)與實(shí)現(xiàn)[J];計(jì)算機(jī)工程;2007年03期
4 趙凱;朱罡華;辛陽(yáng);楊義先;鈕心忻;;一種新的SPIT檢測(cè)和阻止方法[J];計(jì)算機(jī)工程;2007年12期
5 何培舟;孫勇;鄭偉;溫向明;;FMC融合網(wǎng)絡(luò)中的SPIT過(guò)濾技術(shù)研究[J];通信技術(shù);2007年07期
相關(guān)博士學(xué)位論文 前4條
1 焦燕鴻;基于SIP/NMA的IP移動(dòng)網(wǎng)絡(luò)關(guān)鍵技術(shù)研究[D];哈爾濱工程大學(xué);2005年
2 陳秀忠;適應(yīng)于網(wǎng)絡(luò)語(yǔ)音流的服務(wù)質(zhì)量關(guān)鍵管理機(jī)制[D];中國(guó)科學(xué)院研究生院(計(jì)算技術(shù)研究所);2004年
3 劉天楨;基于多維數(shù)據(jù)分析的神經(jīng)網(wǎng)絡(luò)與分布式計(jì)算研究[D];武漢理工大學(xué);2008年
4 包芳;基于智能算法的神經(jīng)網(wǎng)絡(luò)優(yōu)化及其應(yīng)用[D];江南大學(xué);2008年
相關(guān)碩士學(xué)位論文 前8條
1 ?;基于特征提取及神經(jīng)網(wǎng)絡(luò)的圖像分類(lèi)識(shí)別與目標(biāo)跟蹤[D];西安電子科技大學(xué);2008年
2 樊瑞;SIP服務(wù)器模型的設(shè)計(jì)與實(shí)現(xiàn)[D];西安電子科技大學(xué);2008年
3 吳開(kāi)炎;基于SIP協(xié)議的即時(shí)通訊軟件的研究與實(shí)現(xiàn)[D];華北電力大學(xué)(北京);2008年
4 杜金輝;SIP代理服務(wù)器的研究與實(shí)現(xiàn)[D];哈爾濱工業(yè)大學(xué);2007年
5 梁丹薇;基于SIP協(xié)議的VoIP語(yǔ)音獲取技術(shù)[D];同濟(jì)大學(xué);2008年
6 張黎;VoIP中基于信譽(yù)機(jī)制的垃圾語(yǔ)音檢測(cè)與防御[D];華中科技大學(xué);2007年
7 孫偉;VoIP監(jiān)測(cè)分析系統(tǒng)的實(shí)現(xiàn)[D];山東大學(xué);2008年
8 葛旭晗;SIP協(xié)議在VOIP中的研究與應(yīng)用[D];吉林大學(xué);2008年
,本文編號(hào):2276925
本文鏈接:http://www.lk138.cn/wenyilunwen/guanggaoshejilunwen/2276925.html