基于數(shù)據(jù)挖掘和web信任模型的屬性認(rèn)證系統(tǒng)設(shè)計實現(xiàn)
發(fā)布時間：2018-10-15 12:06
【摘要】：社交網(wǎng)絡(luò)服務(wù)(Social Network Service,SNS)以為用戶提供數(shù)據(jù)為基礎(chǔ),提供了多種多樣的社交網(wǎng)絡(luò)服務(wù)方式,但反之社交網(wǎng)站中虛假信息也越來越成為網(wǎng)絡(luò)中的安全隱患。社交網(wǎng)絡(luò)中用戶自身可以隨意修改自己的屬性信息,造成了屬性信息的不可信,社交網(wǎng)絡(luò)中的用戶屬性信息危機越來越嚴(yán)重。現(xiàn)如今的屬性權(quán)威系統(tǒng)中利用CA認(rèn)證的方式,為每一個用戶頒發(fā)屬性證書,經(jīng)過CA認(rèn)證的屬性證書都是有效而且可信的,但是這種情況只適用于小型封閉型系統(tǒng),對于大型的社交網(wǎng)絡(luò)來說這種情況并不適用。基于以上背景,本文基于國內(nèi)最大的微博平臺,針對用戶屬性認(rèn)證問題,分析用戶的社交網(wǎng)絡(luò)行為,對多個領(lǐng)域的研究理論和研究成果都進行了調(diào)研,研究和比較分類。針對社交網(wǎng)絡(luò)用戶屬性可信度低且缺少評價這一問題,通過借鑒標(biāo)準(zhǔn)的PGP利用web of trust來驗證公鑰的有效性的思想,提出了基于PGP的WEB信任模型來給用戶提供屬性認(rèn)證,給用戶的屬性信息提供了安全的屬性認(rèn)證途徑。因為基于社交約束和WEB信任的方法需要人的參與,當(dāng)服務(wù)剛上線用戶不多時,PGP WEB信任模型難以在稀疏網(wǎng)絡(luò)確保對任一請求找到一條信任鏈,所以我們通過對用戶的社交行為進行數(shù)據(jù)挖掘,預(yù)測用戶屬性進而彌補PGP WEB信任模型在模型初期的問題,通過社交網(wǎng)絡(luò)用戶屬性信息挖掘的結(jié)果幫助提高WEB信任網(wǎng)的密度,并檢測和提示惡意評價。在設(shè)計用戶屬性信息挖掘模型的時候,本文充分考慮到了用戶的屬性信息的相關(guān)性,引入了多標(biāo)簽分類對用戶進行屬性預(yù)測,對性別預(yù)測的準(zhǔn)確率超過了 80%,年齡和職業(yè)預(yù)測的準(zhǔn)確率也超過了 70%,多標(biāo)簽?zāi)Ｐ筒粌H僅優(yōu)化了數(shù)據(jù)挖掘進行屬性預(yù)測的時間性能,數(shù)據(jù)挖掘模型的可抽象性和可擴展性都得到了有效地提高。通過結(jié)合社交網(wǎng)絡(luò)用戶屬性信息挖掘和基于PGP的WEB信任模型兩種方式來給用戶提供屬性認(rèn)證可以滿足用戶屬性認(rèn)證的安全性和準(zhǔn)確性的需求。
[Abstract]:Social network service (Social Network Service,SNS) provides a variety of social network services based on providing users with data, but on the contrary, false information in social networking sites is becoming a security hazard in the network. In social network, users can modify their own attribute information at will, which leads to the disbelief of attribute information, and the crisis of user attribute information in social network is becoming more and more serious. In today's attribute authority system, attribute certificates are issued to every user by means of CA authentication. The CA certified attribute certificates are valid and credible, but this is only true for small closed systems. This is not the case for large social networks. Based on the above background, based on the largest Weibo platform in China, this paper analyzes the social network behavior of users for the problem of user attribute authentication, and makes a research, research and comparative classification on the research theory and research results in many fields. In order to solve the problem of low reliability and lack of evaluation of user attributes in social networks, a WEB trust model based on PGP is proposed to provide attribute authentication to users by referring to the idea that standard PGP uses web of trust to verify the validity of public key. It provides a safe way to authenticate the user's attribute information. Because the approach based on social constraints and WEB trust requires the participation of people, it is difficult for the, PGP WEB trust model to find a trust chain for any request in sparse network when the service is only a few online users. So we use the data mining of user's social behavior to predict the user's attribute and then make up the problem of PGP WEB trust model in the early stage of the model. We help to improve the density of WEB trust network through the result of the user's attribute information mining of social network. And detect and prompt malicious evaluation. When designing the user attribute information mining model, this paper considers the correlation of the user's attribute information, and introduces multi-label classification to predict the user's attribute. The accuracy of gender prediction exceeds 80%, and the accuracy of age and career prediction exceeds 70%. The multi-label model not only optimizes the time performance of data mining for attribute prediction, The abstractness and extensibility of data mining model are improved effectively. Through the combination of social network user attribute information mining and WEB trust model based on PGP to provide attribute authentication to users can meet the needs of security and accuracy of user attribute authentication.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP393.0;TP311.13
本文編號：2272504
[Abstract]:Social network service (Social Network Service,SNS) provides a variety of social network services based on providing users with data, but on the contrary, false information in social networking sites is becoming a security hazard in the network. In social network, users can modify their own attribute information at will, which leads to the disbelief of attribute information, and the crisis of user attribute information in social network is becoming more and more serious. In today's attribute authority system, attribute certificates are issued to every user by means of CA authentication. The CA certified attribute certificates are valid and credible, but this is only true for small closed systems. This is not the case for large social networks. Based on the above background, based on the largest Weibo platform in China, this paper analyzes the social network behavior of users for the problem of user attribute authentication, and makes a research, research and comparative classification on the research theory and research results in many fields. In order to solve the problem of low reliability and lack of evaluation of user attributes in social networks, a WEB trust model based on PGP is proposed to provide attribute authentication to users by referring to the idea that standard PGP uses web of trust to verify the validity of public key. It provides a safe way to authenticate the user's attribute information. Because the approach based on social constraints and WEB trust requires the participation of people, it is difficult for the, PGP WEB trust model to find a trust chain for any request in sparse network when the service is only a few online users. So we use the data mining of user's social behavior to predict the user's attribute and then make up the problem of PGP WEB trust model in the early stage of the model. We help to improve the density of WEB trust network through the result of the user's attribute information mining of social network. And detect and prompt malicious evaluation. When designing the user attribute information mining model, this paper considers the correlation of the user's attribute information, and introduces multi-label classification to predict the user's attribute. The accuracy of gender prediction exceeds 80%, and the accuracy of age and career prediction exceeds 70%. The multi-label model not only optimizes the time performance of data mining for attribute prediction, The abstractness and extensibility of data mining model are improved effectively. Through the combination of social network user attribute information mining and WEB trust model based on PGP to provide attribute authentication to users can meet the needs of security and accuracy of user attribute authentication.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP393.0;TP311.13
【參考文獻】
相關(guān)碩士學(xué)位論文 前2條
1 吳伊萍;中文微博情感分類研究[D];華僑大學(xué);2013年
2 張智;數(shù)據(jù)挖掘在高校學(xué)生綜合測評體系中的研究與應(yīng)用[D];江西農(nóng)業(yè)大學(xué);2011年
，本文編號：2272504
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