An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-30
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
With the proliferation of wireless communication and mobile devices, various location-based services are emerging.
For the growth of the location-based services, more accurate and various types of personal location data are required.
However, concerns about privacy violations are a significant obstacle to obtain personal location data.
In this paper, we propose a local differential privacy scheme in an environment where there is no trusted third party to implement privacy protection techniques and incentive mechanisms to motivate users to provide more accurate location data.
The proposed local differential privacy scheme allows a user to set a personalized safe region that he/she can disclose and then perturb the user’s location within the safe region.
It is the way to satisfy the user’s various privacy requirements and improve data utility.
The proposed incentive mechanism has two models, and both models pay the incentive differently according to the user’s safe region size to motivate to set a more precise safe region.
We verify the proposed local differential privacy algorithm and incentive mechanism can satisfy the privacy protection level while achieving the desirable utility through the experiment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jung, Kangsoo& Park, Seog. 2020. An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192602
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jung, Kangsoo& Park, Seog. An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting. Mobile Information Systems No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1192602
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jung, Kangsoo& Park, Seog. An Adaptive Grid and Incentive Mechanism for Personalized Differentially Private Location Data in the Local Setting. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192602
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1192602
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر