Privacy-preserving Comparison of Cloud Exposure Induced by Mobile Apps

被引：1
|
作者：
Henze, Martin [1 ]
Inaba, Ritsuma [2 ]
Fink, Ina Berenice [1 ]
Ziegeldorf, Jan Henrik [1 ]
机构：
[1] Rhein Westfal TH Aachen, Commun & Distributed Syst, Aachen, Germany
[2] Univ Michigan, Coll Engn, Ann Arbor, MI USA
来源：
PROCEEDINGS OF THE 14TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2017) | 2017年
关键词：
Privacy; Smartphones; Cloud Computing; Security; Anonymity;
D O I：
10.1145/3144457.3144511
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The increasing utilization of cloud services by mobile apps on smartphones leads to serious privacy concerns. While users can quantify the cloud usage of their apps, they often cannot relate to involved privacy risks. In this paper, we apply comparison-based privacy, a behavioral nudge, to the cloud usage of mobile apps. This enables users to compare their personal app-induced cloud exposure to that of their peers to discover potential privacy risks from deviation from normal usage behavior. Since cloud usage statistics are sensitive, we protect them with k-anonymity and differential privacy.
引用
收藏
页码：543 / 544
页数：2
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