منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
  • سبد خرید

دانلود رایگان مقاله انگلیسی درمورد محدودیتهای موجود حریم خصوصی منطقه ای - الزویر 2017

عنوان فارسی
درمورد محدودیتهای موجود حریم خصوصی منطقه ای
عنوان انگلیسی
On the limitations of existing notions of location privacy
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
40
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E8203
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و فناوری اطلاعات
گرایش های مرتبط با این مقاله
امنیت اطلاعات
مجله
نسل آینده سیستم های کامپیوتری - Future Generation Computer Systems
دانشگاه
School of Computer Science and Engineering - Southeast University - China
کلمات کلیدی
حریم خصوصی منطقه ای، حریم خصوصی دیفرانسیلی، اختلال
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


In the context of a single report of location information, existing researches define location privacy by adversary’s uncertainty, inaccuracy, or incorrectness of the estimation, or by geo-indistinguishability which is a generalization of differential privacy. Each of these existing notions has problems in some specific scenarios. In this paper we illustrate the limitations of existing notions by constructing such scenarios, and introduce a formal definition on location privacy by quantifying the distance between the prior and posterior distribution over the possible locations. Further more, we show how to construct a near-optimal obfuscation mechanism by solving an optimization problem. We compare our proposed mechanism with the Laplace noise based geo-indistinguishable mechanism, and Shokri’s optimal obfuscation mechanism, using both our proposed privacy metric and the traditional metric based on the estimated distance errors. The results show that our proposed metric better describes location privacy and our proposed mechanism makes a better tradeoff between privacy and utility.

نتیجه گیری

8. Conclusion


In this paper, we survey on existing notions of location privacy and make detailed analysis on their limitations. We introduce a new notion of privacy, by quantifying the difference between the prior and posterior knowledge of adversary. With this notion, we show that an optimal obfuscation mechanism  can be constructed by solving a non-linear optimization problem. We propose a near-optimal mechanism, and compare it with the state-of-the-art obfusca435 tion mechanisms, using both our proposed metric and the estimated distance error. The results show that under the same quality constraints, our proposed mechanism can achieve better privacy.


بدون دیدگاه