本文選題：社交媒體網(wǎng)絡(luò) + 信號(hào)理論��； 參考：《河南科技大學(xué)》2017年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的迅猛發(fā)展,在線社交網(wǎng)絡(luò)(OSN)平臺(tái)正在成為人類社會(huì)關(guān)系維系和信息傳播的重要渠道和載體,開(kāi)放的社交網(wǎng)絡(luò)平臺(tái)給用戶帶來(lái)使用便捷的同時(shí),在使用過(guò)程中也引發(fā)了大量的安全(和隱私)問(wèn)題。社交網(wǎng)絡(luò)的成功依賴于社交群組成員彼此之間以及與社交網(wǎng)絡(luò)服務(wù)提供商之間的信任程度。社交平臺(tái)的安全性和可信度作為社會(huì)交互的基礎(chǔ),在信息共享與交流中至關(guān)重要。由于在社交網(wǎng)絡(luò)平臺(tái)中也存在不少惡意站點(diǎn)、信息欺騙和安全性等問(wèn)題,但傳統(tǒng)的安全和信任評(píng)估僅關(guān)注于用戶間的信任關(guān)系和安全實(shí)現(xiàn),而針對(duì)社交網(wǎng)絡(luò)平臺(tái)的評(píng)估和度量方法還不健全。因此,本課題的研究旨在針對(duì)在線社交網(wǎng)絡(luò)特點(diǎn),提出一種基于管理學(xué)信號(hào)理論的在線社交網(wǎng)絡(luò)平臺(tái)安全和信任度量方法。本文的主要研究?jī)?nèi)容如下:1.基于信號(hào)理論的在線社交網(wǎng)絡(luò)信號(hào)分類方法。在線社交網(wǎng)絡(luò)平臺(tái)的各類屬性特點(diǎn),平臺(tái)運(yùn)營(yíng)商提供給用戶的信息等,在用戶與平臺(tái)的交互中,用戶對(duì)這類信息的掌握與平臺(tái)管理者之間出現(xiàn)了不對(duì)稱性,信息的不對(duì)稱性導(dǎo)致用戶無(wú)法準(zhǔn)確評(píng)估社交網(wǎng)絡(luò)平臺(tái)的可信度。因此本文將信號(hào)理論(Signaling Theory)引入到在線社交網(wǎng)絡(luò)平臺(tái)研究中。首先利用信號(hào)理論研究中對(duì)信號(hào)的分類方法,提取在線社交網(wǎng)絡(luò)平臺(tái)中影響用戶的各類信號(hào),并根據(jù)用戶調(diào)研問(wèn)卷,提取出與平臺(tái)安全性和可信度相關(guān)信號(hào)。其次對(duì)于引入的信號(hào)概念,本文利用本體描述語(yǔ)言對(duì)此類概念屬性進(jìn)行形式化,利用行為時(shí)序邏輯對(duì)信號(hào)在平臺(tái)執(zhí)行行為進(jìn)行行為描述。2.利用研究?jī)?nèi)容一提取的信號(hào)對(duì)平臺(tái)進(jìn)行多因素評(píng)價(jià);使用FAHP評(píng)估方法確定各類與安全性可信度相關(guān)信號(hào)的指標(biāo)權(quán)重并進(jìn)行權(quán)重計(jì)算。利用眾包思想和優(yōu)勢(shì),探索在線社交網(wǎng)絡(luò)平臺(tái)安全性可信度的群體評(píng)估度量方法。最后,在一個(gè)現(xiàn)實(shí)的多媒體社交網(wǎng)絡(luò)平臺(tái)(Cy VOD.net)上進(jìn)行了評(píng)估實(shí)驗(yàn)。通過(guò)現(xiàn)實(shí)社交平臺(tái)特性分析,分配群體評(píng)估任務(wù),將信號(hào)動(dòng)、靜態(tài)交互應(yīng)用在群體評(píng)估環(huán)境設(shè)置中,提出平臺(tái)增強(qiáng)與優(yōu)化方案,利用研究?jī)?nèi)容一提出的方案進(jìn)行實(shí)驗(yàn)驗(yàn)證分析,體現(xiàn)完整的社交平臺(tái)進(jìn)化過(guò)程。實(shí)驗(yàn)結(jié)果顯示,該方法能夠準(zhǔn)確地計(jì)算社交平臺(tái)的各安全和信任要素的評(píng)估值,可進(jìn)一步指導(dǎo)社交網(wǎng)絡(luò)平臺(tái)實(shí)現(xiàn)安全和信任增強(qiáng),從而完成社交平臺(tái)的功能進(jìn)化。
[Abstract]:With the rapid development of Internet technology, the online social network (OSN) platform is becoming an important channel and carrier for the maintenance of human social relations and the dissemination of information. The open social network platform brings convenience to users at the same time. There are also a lot of security (and privacy) problems in the process of use. The success of social networks depends on the level of trust that social group members have with each other and with social network service providers. As the foundation of social interaction, the security and credibility of social platform is very important in information sharing and communication. There are many malicious sites, information spoofing and security problems in the social network platform, but the traditional security and trust evaluation only focuses on the trust relationship and security implementation between users. However, the evaluation and measurement methods for social network platform are not perfect. Therefore, according to the characteristics of online social network, this paper proposes a method of online social network platform security and trust measurement based on management signal theory. The main contents of this paper are as follows: 1. A signal Classification method based on signal Theory for online Social Networks. Various attributes of online social network platform, information provided by platform operators, etc., in the interaction between users and platforms, there is asymmetry between users' mastery of such information and platform managers. Because of the asymmetry of information, users can not accurately evaluate the credibility of the social network platform. In this paper, signaling theory is introduced into the research of online social network platform. Firstly, using the signal classification method in the research of signal theory, we extract all kinds of signals that affect users in the online social network platform, and extract the signals related to the platform security and credibility according to the user survey questionnaire. Secondly, this paper uses ontology description language to formalize the concept attributes, and uses behavioral temporal logic to describe the behavior of signal execution on the platform. The platform is evaluated by using the signal extracted from the research content, and the index weights of various kinds of signals related to the reliability of security are determined by using the FAHP evaluation method and the weights are calculated. By using crowdsourcing idea and advantage, this paper explores a group evaluation method of online social network platform security reliability. Finally, an evaluation experiment is carried out on a real multimedia social network platform, Cy VOD.net. Through the analysis of the characteristics of the real social platform, the task of group evaluation is assigned, the signal dynamic and static interaction is applied to the setting of the group evaluation environment, the platform enhancement and optimization scheme is put forward, and the experimental verification analysis is carried out by using the scheme proposed in the first research content. Reflects the complete evolution of the social platform process. The experimental results show that this method can accurately calculate the evaluation values of the security and trust elements of the social platform, and can further guide the social network platform to achieve security and trust enhancement, thus completing the functional evolution of the social platform.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.08

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