التفاصيل البيبلوغرافية
| العنوان: |
Privacy on the Edge: Customizable Privacy-Preserving Context Sharing in Hierarchical Edge Computing |
| المؤلفون: |
Youyang Qu, Longxiang Gao, Bruce Gu, Xiaodong Wang, Jiong Jin, Shui Yu |
| المصدر: |
IEEE Transactions on Network Science and Engineering. 7:2298-2309 |
| بيانات النشر: |
Institute of Electrical and Electronics Engineers (IEEE), 2020. |
| سنة النشر: |
2020 |
| مصطلحات موضوعية: |
Information privacy, Edge device, Computer Networks and Communications, Computer science, business.industry, Distributed computing, 020208 electrical & electronic engineering, Big data, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, Computer Science Applications, Control and Systems Engineering, 0202 electrical engineering, electronic engineering, information engineering, Reinforcement learning, Markov decision process, Enhanced Data Rates for GSM Evolution, business, Edge computing |
| الوصف: |
© 2013 IEEE. The booming of edge computing enables and reshapes this big data era. However, privacy issues arise because increasing volume of data are published per second while the edge devices can only provide limited computing and storage resources. In addition, this has been aggravated by new emerging features of edge computing, such as decentralized and hierarchical infrastructure, mobility, and content-Aware applications. Although some existing privacy preserving methods are extended to this domain, the privacy issues of data dissemination between multiple edge nodes and end users is barely studied. Motivated by this, we propose a dynamic customizable privacy-preserving model based on Markov decision process to obtain the optimized trade-off between customizable privacy protection and data utility. We start with establishing a game model between users and adversaries based on a QoS-based payoff function. A modified reinforcement learning algorithm is deployed to derive the exclusive Nash Equilibrium. Furthermore, the model can achieve fast convergence by the reduction of cardinality from n to 2. Extensive experimental results confirm the significance of the proposed model comparing to the existing work both in terms of effectiveness and feasibility. |
| وصف الملف: |
application/pdf |
| تدمد: |
2334-329X |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e7abf56a19ef921ad2d1ea62c113d89
https://doi.org/10.1109/tnse.2019.2933639 |
| حقوق: |
CLOSED |
| رقم الأكسشن: |
edsair.doi.dedup.....6e7abf56a19ef921ad2d1ea62c113d89 |
| قاعدة البيانات: |
OpenAIRE |
