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移動互聯(lián)網(wǎng)環(huán)境下隱私泄露容忍度的測量與實證研究

發(fā)布時間:2018-01-14 14:28

  本文關(guān)鍵詞:移動互聯(lián)網(wǎng)環(huán)境下隱私泄露容忍度的測量與實證研究 出處:《大連理工大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


  更多相關(guān)文章: 隱私泄露 容忍度 移動互聯(lián)網(wǎng) 量表開發(fā)


【摘要】:隨著移動通信技術(shù)的高速發(fā)展和移動設(shè)備的更新?lián)Q代,移動互聯(lián)網(wǎng)的用戶數(shù)量飛速增長,移動互聯(lián)網(wǎng)逐漸步入人們的日常生活。在移動互聯(lián)網(wǎng)環(huán)境下,用戶身份的識別和驗證變得更加便捷,使得用戶信息具有很強的個人屬性,這為用戶帶來了極大便利,但同時也帶來了隱私泄露風(fēng)險。以智能手機、平板電腦為代表的移動設(shè)備存儲著很多高附加值的內(nèi)容,如用戶的通訊記錄、位置信息,這些個人信息可輕易地被軟件識別和傳送。適當(dāng)?shù)墨@取用戶信息有助于企業(yè)提供更優(yōu)質(zhì)和個性化的服務(wù),但是如果涉及隱私而這些隱私又被濫用,會嚴(yán)重侵?jǐn)_用戶的日常生活,甚至造成人身傷害和財產(chǎn)損失。近年來,移動互聯(lián)網(wǎng)環(huán)境下的隱私泄露問題屢見不鮮。 本文從移動互聯(lián)網(wǎng)用戶角度出發(fā),針對用戶隱私泄露給企業(yè)的情況,探討了用戶對于隱私泄露的容忍態(tài)度。本文提出了隱私泄露容忍度這一概念來描述用戶對于隱私泄露的態(tài)度,有助于解釋隱私悖論、分析用戶的隱私披露和隱私計算等行為,同時為移動互聯(lián)網(wǎng)企業(yè)合理利用用戶信息資源、有的放矢的保護用戶隱私提供了實踐建議。在對隱私泄露容忍度進(jìn)行定義和維度劃分后,本文開發(fā)設(shè)計了一個三階共37個題項的測量量表。其中,信息敏感性維度包括身體隱私、信息隱私、交流隱私和位置隱私四個因子,接收者敏感性維度包括應(yīng)用服務(wù)提供商、電信運營商、平臺開發(fā)商和終端生產(chǎn)商四個因子,使用敏感性維度包括收集、訪問、利用和錯誤四個因子。本文采用問卷調(diào)查法搜集數(shù)據(jù),共回收有效問卷396份,利用SPSS、AMOS軟件對量表的信度和效度進(jìn)行了檢驗。實證檢驗表明,該量表具有良好的信度和效度,適用于移動互聯(lián)網(wǎng)環(huán)境下的隱私泄露容忍度測量。 數(shù)據(jù)顯示,大部分用戶的隱私泄露容忍度并不高,個體間存在差異,但總體上呈集中趨勢。在信息敏感性維度上,用戶更能容忍身體隱私和位置隱私的泄露;在接收者敏感性維度上,用戶更能容忍將隱私泄露給應(yīng)用服務(wù)提供商和電信運營商;在使用敏感性維度上,用戶更能容忍企業(yè)的訪問行為,最不能容忍錯誤行為。最后,本文依據(jù)數(shù)據(jù)分析結(jié)果得出管理啟示和研究啟示,為移動互聯(lián)網(wǎng)企業(yè)的信息挖掘和隱私保護實踐活動提供了指導(dǎo)性建議,同時對今后的隱私泄露容忍度的研究方向進(jìn)行了展望。
[Abstract]:With the rapid development of mobile communication technology and mobile equipment upgrading, the rapid growth of the number of users of mobile Internet, mobile Internet has entered people's daily life. In the mobile Internet environment, identify and verify the identity of the user becomes more convenient, so that the user information has a very strong personal attributes, which brings great convenience to the user at the same time, but also bring the risk of loss of privacy. The intelligent mobile phone, tablet computer as the representative of the mobile device to store a lot of high value-added content, such as the user's communication records, location information, the personal information can easily be transmitted. Software identification and access to user information can provide more high-quality and personalized in the enterprise the appropriate service, but if these privacy and privacy abuse, will seriously disrupt the user's daily life, and even cause personal injury and property damage. In recent years, the problem of privacy disclosure in the mobile Internet environment is common.
This article from the perspective of mobile Internet users, according to user privacy to the enterprise, to the user for the tolerance of privacy. This paper proposes the concept of privacy tolerance to describe users for privacy attitude helps explain the privacy paradox, analysis of user privacy disclosure and privacy calculation behavior. At the same time as the user information resources reasonable use of mobile Internet enterprises, targeted to protect user privacy and provides practical suggestions. In the privacy tolerance definition and dimensions, this paper designed a three order 37 measurement items. Among them, the information sensitivity dimensions including physical privacy, information privacy. The exchange of four factor and location privacy, the receiver sensitivity dimensions including application service providers, telecom operators, terminal manufacturers and developers of platform four A factor, using the sensitivity dimensions including the collection, access, by using four factors and errors. This paper uses the questionnaire to collect data, a total of 396 valid questionnaires, using SPSS to test the reliability and validity of the scale were analyzed by AMOS software. The empirical tests show that the scale has good reliability and validity, application in the environment of mobile Internet privacy tolerance measurement.
Data show that most users privacy tolerance is not high, there are differences between individuals, but the overall concentration trend. Sensitivity of the information dimension, revealing users more tolerant of physical privacy and location privacy; the receiver sensitivity dimensions, the user can tolerate the loss of privacy for application service providers and telecom operators business; in the use of sensitivity dimensions, users can tolerate access behavior of enterprises, the most intolerable errors. Finally, based on the data analysis results and management implications, provides guidelines for enterprise mobile Internet information mining and privacy protection practice, at the same time of privacy tolerance study the future direction was prospected.

【學(xué)位授予單位】:大連理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP393.01;TN915.08

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