حفظ حریم خصوصی در اینترنت اشیا
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حفظ حریم خصوصی در اینترنت اشیا

عنوان فارسی مقاله: بکارگیری تعامل اجتماعی به صورت بازی سه نفره به منظور حفظ حریم خصوصی در اینترنت اشیا
عنوان انگلیسی مقاله: Incorporating social interaction into three-party game towards privacy protection in IoT
مجله/کنفرانس: شبکه های کامپیوتری - Computer Networks
رشته های تحصیلی مرتبط: مهندسی کامپیوتر، مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: اینترنت و شبکه های گسترده، امنیت اطلاعات، شبکه های کامپیوتری و سامانه های شبکه ای
کلمات کلیدی فارسی: اینترنت اشیا، شبکه اجتماعی آنلاین، حریم خصوصی داده ها، تعامل اجتماعی، بازی سه نفره، چانه زنی نش
کلمات کلیدی انگلیسی: Internet of Things، Online social network، Data privacy، Social interaction، Three-party game، Nash bargaining
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.comnet.2018.11.036
دانشگاه: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4/205 در سال 2018
شاخص H_index: 119 در سال 2019
شاخص SJR: 0/592 در سال 2018
شناسه ISSN: 1389-1286
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 12
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
کد محصول: E11439
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Related work


3- Preliminary


4- Game model and formulation


5- User’s response to privacy leakage


6- Game analysis based on Nash bargaining


7- Conclusion


References

نمونه متن انگلیسی مقاله

Abstract


By exploiting rich personal information, Internet of Things can provide users with various customized experience and services, improving entertainment, convenience and quality for users’ life. However, unavoidably, these users suffer from serious risk of privacy leakage in the presence of untrusted service provider and malicious adversary. Game theory is treated as one of the most promising methodologies to investigate participants’ incentive, response, and behaviors and has been widely applied to design privacy preserving schemes. Nevertheless, the complex interactions among users, service provider, and adversary are not fully investigated in the existing work. What’s more, users’ social connection and interaction are ignored. In this paper, such complex interactions are modeled as a three-party game for the problem of private data trading in IoT with considering user’s social interaction in online social network. Particularly, data trading between service provider and adversary is formulated to be a Nash bargaining game, for which Nash bargaining solutions are analyzed via both theoretical analysis and numerical experiments. Our analysis can clearly illustrate data trading strategies between service provider and adversary and offer guidance for designing privacy protection scheme in IoT.


Introduction


Internet of Things (IoT) has achieved rapid development and promoted many emerging applications in recent years. With ubiquitous IoT devices, about 2.5 quintillion bytes of data are produced in every day [1]. According to estimation of Ahmed et al. [2], there will be 50 billion IoT devices in 2020. When people use IoT services, a lot of sensitive and personal information is uploaded to the service providers, such as personal profiles, sensors data of mobile terminal, and photos [3]. However, usually, users are not aware of how the service provider use their data and who could access their data clearly. Untrusted service providers may sell user’s data to third-party adversaries for extra profit without user’s permission. In 2018, Facebook admitted that an App related to Cambridge Analytica to harvest personal data of up to 87 million Facebook users without their consent [4]. And some OSNs, including twitter, Myspace and LiveJournal, also share user’s personally identifiable information to third parties [5]. Moreover, the study of Enck et al. [6] found that 15 out of 30 popular network services sent user’s information to remote advertisement or analytics servers. In the presence of untrusted service providers and adversaries, IoT users are suffering from severe risk of privacy leakage. As a new kind of IoT, social IoT (SIoT) has become popular [7,8], where the owners of IoT devices are also connected via online social network (OSN). That is, SIoT can be treated as the integration of IoT and OSN. In 2017, there are 2.46 billion social network users around the world, and it is estimated that the number of users will increase to 3.02 billion in 2021 [9].

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