本文選題：高速路信息 + 隱私保護(hù)��； 參考：《北京郵電大學(xué)》2016年碩士論文

【摘要】：高速公路作為現(xiàn)代化城市的基礎(chǔ)設(shè)施,對(duì)人們的日常生活和國(guó)家經(jīng)濟(jì)有著重要的影響。過去“重建設(shè)、輕養(yǎng)護(hù)”的傳統(tǒng)觀念,已不適應(yīng)我國(guó)現(xiàn)有高速公路的發(fā)展趨勢(shì)。隨著信息技術(shù)應(yīng)用的不斷普及和深入,利用信息化手段高效管理高速公路便具有了十分重要的意義。在信息碎片呈井噴式發(fā)展的今天,防止隱私泄露、保護(hù)個(gè)人信息安全便成為衡量應(yīng)用系統(tǒng)的一個(gè)重要指標(biāo)。本文將差分隱私保護(hù)方法與高速公路信息管理相結(jié)合,針對(duì)常用差分隱私保護(hù)框架PINQ中存在的隱私泄露問題提出改進(jìn)算法,并開發(fā)出針對(duì)高速公路信息的交通運(yùn)輸信息管理系統(tǒng)。PINQ框架是差分隱私保護(hù)方法的一種常用實(shí)現(xiàn)框架,其中Apply算法是核心關(guān)鍵算法,但現(xiàn)有Apply算法并沒有對(duì)查詢次數(shù)進(jìn)行限制,存在攻擊者可以對(duì)大量查詢結(jié)果進(jìn)行統(tǒng)計(jì)從而得到隱私信息分布區(qū)間的可能性,造成隱私泄露。本文對(duì)其進(jìn)行改進(jìn),并在此基礎(chǔ)上設(shè)計(jì)實(shí)現(xiàn)了增強(qiáng)隱私保護(hù)的交通運(yùn)輸信息系統(tǒng)。論文通過實(shí)驗(yàn)得到關(guān)鍵參數(shù)查詢預(yù)算的最佳組合值,并且通過分別將改進(jìn)前后的Apply算法應(yīng)用于本系統(tǒng)比對(duì)來驗(yàn)證改進(jìn)后的算法具有更強(qiáng)的隱私保護(hù)功能;最后將本文提出改進(jìn)的算法和傳統(tǒng)K-匿名算法分別應(yīng)用于交通運(yùn)輸信息系統(tǒng)中,通過誤差分析、隱私泄露情況以及數(shù)據(jù)可用性等方面的對(duì)比,證明本文提出改進(jìn)的差分隱私保護(hù)算法更優(yōu)。
[Abstract]:Expressway, as the infrastructure of modern city, has an important influence on people's daily life and national economy.In the past, the traditional concept of "paying more attention to construction than maintenance" has not adapted to the development trend of China's existing highways.With the popularization and deepening of the application of information technology, it is of great significance to use information technology to manage expressway efficiently.Nowadays, with the development of information fragments, preventing privacy leakage and protecting personal information security have become an important index to measure the application system.In this paper, the differential privacy protection method is combined with highway information management, and an improved algorithm is proposed to solve the privacy leakage problem in the commonly used differential privacy protection framework (PINQ).This paper also develops the transportation information management system .PINQ framework for highway information, which is a common implementation framework of differential privacy protection method. Apply algorithm is the key algorithm, but the existing Apply algorithm does not limit the number of queries.There is the possibility that an attacker can calculate a large number of query results to obtain the distribution of privacy information, resulting in privacy disclosure.On the basis of the improvement, this paper designs and implements a transportation information system to enhance privacy protection.The best combination value of the key parameter query budget is obtained by experiments, and the improved Apply algorithm is applied to the system to verify that the improved algorithm has stronger privacy protection function.Finally, the improved algorithm and the traditional K- anonymous algorithm are applied to the transportation information system respectively, and the comparison of error analysis, privacy disclosure and data availability, etc.It is proved that the improved differential privacy protection algorithm is better in this paper.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：U495;TP309

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本文編號(hào)：1746319