Data Security and Privacy Challenges of Computing Offloading in FINs

doi:10.1109/MNET.001.1900140

	Data Security and Privacy Challenges of Computing Offloading in FINs
	Wang, Fei; Diao, Boyu; Sun, Tao; Xu, Yongjun
	2020-03-01
发表期刊	IEEE NETWORK
ISSN	0890-8044
卷号	34 期号:2 页码:14-20
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.
关键词	Task analysis Cloud computing Data privacy Edge computing Smart homes Data security
DOI	10.1109/MNET.001.1900140
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000555430800003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：12[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15855
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.