【摘要】：手機(jī)已經(jīng)成為絕大多數(shù)人日常生活不可分割的一部分,它能提供給人們的服務(wù)數(shù)不勝數(shù)。手機(jī)流量數(shù)據(jù)的統(tǒng)計(jì)分析不僅能為手機(jī)用戶提供更好的用戶體驗(yàn),也能為運(yùn)營商做出更好的營銷策劃提供實(shí)證。然而手機(jī)用戶的流量數(shù)據(jù)帶有用戶的隱私信息,分享流量數(shù)據(jù)的前提是用戶的隱私得到保護(hù)。所以本文提出了高效,可驗(yàn)證和可信任的隱私保護(hù)聚合算法。對于聚合算法而言,最主要的挑戰(zhàn)在于數(shù)據(jù)聚合者如何保證在機(jī)密協(xié)議下安全高效的處理一組用戶的輸入數(shù)據(jù)。本文將提出一個(gè)高效,驗(yàn)證,可信任的隱私保護(hù)數(shù)據(jù)聚合方案。通過該聚合方案,聚合者可以隱私保護(hù)地對手機(jī)用戶的流量數(shù)據(jù)進(jìn)行統(tǒng)計(jì)函數(shù)的計(jì)算,從而根據(jù)統(tǒng)計(jì)結(jié)果來為用戶和運(yùn)營商提供更多人性化的服務(wù)。特別地,本文方案通過引入一個(gè)模糊密鑰收集者,能有效便利的管理動(dòng)態(tài)用戶。首先提出了 一個(gè)基礎(chǔ)方案,簡稱EVTA,它可以支持求平均聚合函數(shù)。然后,本文對基礎(chǔ)方案進(jìn)行了性能提升,使其計(jì)算開銷降低,轉(zhuǎn)化為乘法群來解離散對數(shù),計(jì)算開銷降低后的方案簡稱A-EVTA,它同樣可以支持?jǐn)?shù)據(jù)聚合。此外,本文考慮一個(gè)強(qiáng)有力的攻擊者,它的目標(biāo)在于盡可能多的獲取用戶的隱私信息。本文通過攻擊者的攻擊游戲來證明方案有足夠安全性來抵抗各種攻擊。本文使用了盲簽名和數(shù)據(jù)值向量技術(shù)來確保上傳的數(shù)據(jù)可驗(yàn)證和可信任,即使攻擊者同一組用戶共謀或勾結(jié)一些惡意用戶,都無法獲取任何誠實(shí)用戶的隱私數(shù)據(jù)信息。性能分析表明,在收集者的協(xié)助下,所提出的基本方案和高級方案在計(jì)算開銷和通信開銷方面都更加高效,特別適用于需要大明文空間和高精確度的應(yīng)用。對解離散對數(shù)問題的改進(jìn),效率更是進(jìn)一步得到了提升。除此之外,本文方案可以很好的支持錯(cuò)誤容忍,抵抗暴力攻擊,并且適用于動(dòng)態(tài)用戶管理。
[Abstract]:Mobile phone has become an integral part of most people's daily life, it can provide people with countless services. The statistical analysis of mobile phone traffic data can not only provide a better user experience for mobile phone users, but also provide empirical evidence for operators to make better marketing planning. However, the traffic data of mobile phone users have their privacy information, and the premise of sharing traffic data is that the privacy of users is protected. Therefore, this paper proposes an efficient, verifiable and trusted privacy protection aggregation algorithm. For the aggregation algorithm, the main challenge is how to ensure that the data aggregator can handle a set of user's input data safely and efficiently under the secret protocol. This paper proposes an efficient, verifiable and trusted privacy protection data aggregation scheme. Through the aggregation scheme, the aggregator can calculate the traffic data of mobile phone users in privacy, and then provide more humanized services for users and operators according to the statistical results. In particular, by introducing a fuzzy key collector, the scheme can manage dynamic users effectively and conveniently. Firstly, a basic scheme, called EVTA, is proposed, which can support the average aggregate function. Then, the performance of the basic scheme is improved to reduce the computational overhead and transform it into a multiplication group to solve the discrete logarithm. The scheme with reduced computing overhead is called A-EVTA, which can also support data aggregation. In addition, we consider a powerful attacker whose goal is to get as much privacy information as possible. In this paper, an attacker's attack game to prove that the scheme has sufficient security to resist various attacks. In this paper, blind signature and data value vector techniques are used to ensure that the uploaded data can be verified and trusted. Even if an attacker colludes with a group of users or colludes with some malicious users, he can not obtain the privacy data information of any honest user. The performance analysis shows that the proposed basic and advanced schemes are more efficient in computational overhead and communication overhead with the assistance of the collector, and are especially suitable for applications requiring Daming space and high accuracy. The efficiency of solving discrete logarithm problem is further improved. In addition, this scheme can support error tolerance, resist violence attacks, and can be applied to dynamic user management.
【學(xué)位授予單位】：浙江工商大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP309

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相關(guān)期刊論文 前1條

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本文編號：2234132