發(fā)布時間：2018-06-05 01:23

  本文選題：社交媒體網(wǎng)絡(luò) + 信號理論　； 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)平臺正在成為人類社會關(guān)系維系和信息傳播的重要渠道和載體,開放的社交網(wǎng)絡(luò)平臺給用戶帶來使用便捷的同時,在使用過程中也引發(fā)了大量的安全(和隱私)問題。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。社交平臺的安全性和可信度作為社會交互的基礎(chǔ),在信息共享與交流中至關(guān)重要。由于在社交網(wǎng)絡(luò)平臺中也存在不少惡意站點、信息欺騙和安全性等問題,但傳統(tǒng)的安全和信任評估僅關(guān)注于用戶間的信任關(guān)系和安全實現(xiàn),而針對社交網(wǎng)絡(luò)平臺的評估和度量方法還不健全。因此,本課題的研究旨在針對在線社交網(wǎng)絡(luò)特點,提出一種基于管理學(xué)信號理論的在線社交網(wǎng)絡(luò)平臺安全和信任度量方法。本文的主要研究內(nèi)容如下:1.基于信號理論的在線社交網(wǎng)絡(luò)信號分類方法。在線社交網(wǎng)絡(luò)平臺的各類屬性特點,平臺運營商提供給用戶的信息等,在用戶與平臺的交互中,用戶對這類信息的掌握與平臺管理者之間出現(xiàn)了不對稱性,信息的不對稱性導(dǎo)致用戶無法準(zhǔn)確評估社交網(wǎng)絡(luò)平臺的可信度。因此本文將信號理論(Signaling Theory)引入到在線社交網(wǎng)絡(luò)平臺研究中。首先利用信號理論研究中對信號的分類方法,提取在線社交網(wǎng)絡(luò)平臺中影響用戶的各類信號,并根據(jù)用戶調(diào)研問卷,提取出與平臺安全性和可信度相關(guān)信號。其次對于引入的信號概念,本文利用本體描述語言對此類概念屬性進行形式化,利用行為時序邏輯對信號在平臺執(zhí)行行為進行行為描述。2.利用研究內(nèi)容一提取的信號對平臺進行多因素評價;使用FAHP評估方法確定各類與安全性可信度相關(guān)信號的指標(biāo)權(quán)重并進行權(quán)重計算。利用眾包思想和優(yōu)勢,探索在線社交網(wǎng)絡(luò)平臺安全性可信度的群體評估度量方法。最后,在一個現(xiàn)實的多媒體社交網(wǎng)絡(luò)平臺(Cy VOD.net)上進行了評估實驗。通過現(xiàn)實社交平臺特性分析,分配群體評估任務(wù),將信號動、靜態(tài)交互應(yīng)用在群體評估環(huán)境設(shè)置中,提出平臺增強與優(yōu)化方案,利用研究內(nèi)容一提出的方案進行實驗驗證分析,體現(xiàn)完整的社交平臺進化過程。實驗結(jié)果顯示,該方法能夠準(zhǔn)確地計算社交平臺的各安全和信任要素的評估值,可進一步指導(dǎo)社交網(wǎng)絡(luò)平臺實現(xiàn)安全和信任增強,從而完成社交平臺的功能進化。
[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)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP393.08

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