Data Security and Privacy Challenges of Computing Offloading in FINs
文献类型：期刊论文
| 作者 | Wang, Fei; Diao, Boyu; Sun, Tao; Xu, Yongjun |
| 刊名 | IEEE NETWORK
 |
| 出版日期 | 2020-03-01 |
| 卷号 | 34期号:2页码:14-20 |
| 关键词 | Task analysis Cloud computing Data privacy Edge computing Smart homes Data security |
| ISSN号 | 0890-8044 |
| DOI | 10.1109/MNET.001.1900140 |
| 英文摘要 | Recently, a variety of novel techniques (e.g. Internet-of-Things, cloud computing, edge/fog computing, big data, intelligence accelerating chip) make a great number of different devices connected for specific purposes. Based on the significant features of techniques, networking technologies have evolved into future intelligent networks (FINs), in which intelligence has been integrated into networks to help generate and optimize policies, freeing network administrators from management and configuration burdens, and improving the efficiency of self-learning from real-time network data. In FINs, low latency is achieved at the cost of computing-complexity which is beyond the capabilities of Internet of Things devices or users' devices. In order to achieve a new generation of computing-intensive, delay-sensitive and function-intelligent services, computing-intensive intelligence tasks are expected to be offloaded to more powerful edge devices with intelligent computing capabilities. However, because the data are copied or divided before being distributed to edge devices, and that the edge devices have heterogeneous computation resources and various purposes, there exist unknown types of security and privacy threats which would possibly crash the network system, break the data privacy of network entities, damage the data property or cause unfairness in incentives adjustment. In this article, we discuss the design issues for data security and privacy in FINs. We present the unique data security and privacy design challenges presented by computing offloading and highlight the reasons why the data protection techniques in current Internet-of- Things, cloud computing, edge/fog computing cannot be directly applied in FINs. |
| 资助项目 | NSFC[61602447] ; NSFC[61902376] ; National Key Research and Development Program of China[2018YFC1407400] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000555430800003 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/15854]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Wang, Fei |
| 作者单位 | Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Fei,Diao, Boyu,Sun, Tao,et al. Data Security and Privacy Challenges of Computing Offloading in FINs[J]. IEEE NETWORK,2020,34(2):14-20. |
| APA | Wang, Fei,Diao, Boyu,Sun, Tao,&Xu, Yongjun.(2020).Data Security and Privacy Challenges of Computing Offloading in FINs.IEEE NETWORK,34(2),14-20. |
| MLA | Wang, Fei,et al."Data Security and Privacy Challenges of Computing Offloading in FINs".IEEE NETWORK 34.2(2020):14-20. |
入库方式： OAI收割
来源：计算技术研究所
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