An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream
المؤلفون المشاركون
Park, Seog
Jo, Geonhyoung
Jung, Kangsoo
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-29
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Recently, various services based on user's location are emerging since the development of wireless Internet and sensor technology.
VANET (vehicular ad hoc network), in which a large number of vehicles communicate using wireless communication, is also being highlighted as one of the services.
VANET collects and analyzes the traffic data periodically to provide the traffic information service.
The problem is that traffic data contains user’s sensitive location information that can lead to privacy violations.
Differential privacy techniques are being used as a de facto standard to prevent such privacy violation caused by data analysis.
However, applying differential privacy to traffic data stream which has infinite size over time makes data useless because too much noise is inserted to protect privacy.
In order to overcome this limitation, existing researches set a certain range of windows and apply differential privacy to windowed data.
However, previous researches have set a fixed window size do not consider a traffic data’s property such as road structure and time-based traffic variation.
It may lead to insufficient privacy protection and unnecessary data utility degradation.
In this paper, we propose an adaptive window size selection method that consider the correlation between road networks and time-based traffic variation to solve a fixed window size problem.
And we suggest an adjustable privacy budget allocation technique for corresponding to the adaptive window size selection.
We show that the proposed method improves the data utility, while satisfying the equal level of differential privacy as compared with the existing method through experiments that is designed based on real-world road network.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jo, Geonhyoung& Jung, Kangsoo& Park, Seog. 2018. An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181727
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jo, Geonhyoung…[et al.]. An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream. Journal of Advanced Transportation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1181727
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jo, Geonhyoung& Jung, Kangsoo& Park, Seog. An Adaptive Window Size Selection Method for Differentially Private Data Publishing over Infinite Trajectory Stream. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181727
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181727
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