Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing
المؤلفون المشاركون
Zhao, Shuang
Luo, Xiapu
Ma, Xiaobo
Bai, Bo
Zhao, Yankang
Zou, Wei
Yang, Zeming
Au, Man Ho
Qiu, Xinliang
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-02-14
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Proximity-based apps have been changing the way people interact with each other in the physical world.
To help people extend their social networks, proximity-based nearby-stranger (NS) apps that encourage people to make friends with nearby strangers have gained popularity recently.
As another typical type of proximity-based apps, some ridesharing (RS) apps allowing drivers to search nearby passengers and get their ridesharing requests also become popular due to their contribution to economy and emission reduction.
In this paper, we concentrate on the location privacy of proximity-based mobile apps.
By analyzing the communication mechanism, we find that many apps of this type are vulnerable to large-scale location spoofing attack (LLSA).
We accordingly propose three approaches to performing LLSA.
To evaluate the threat of LLSA posed to proximity-based mobile apps, we perform real-world case studies against an NS app named Weibo and an RS app called Didi.
The results show that our approaches can effectively and automatically collect a huge volume of users’ locations or travel records, thereby demonstrating the severity of LLSA.
We apply the LLSA approaches against nine popular proximity-based apps with millions of installations to evaluate the defense strength.
We finally suggest possible countermeasures for the proposed attacks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Shuang& Luo, Xiapu& Ma, Xiaobo& Bai, Bo& Zhao, Yankang& Zou, Wei…[et al.]. 2018. Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1214046
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Shuang…[et al.]. Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing. Security and Communication Networks No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1214046
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Shuang& Luo, Xiapu& Ma, Xiaobo& Bai, Bo& Zhao, Yankang& Zou, Wei…[et al.]. Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1214046
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214046
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