TY - JOUR
T1 - Towards Supporting Security and Privacy for Social IoT Applications
T2 - A Network Virtualization Perspective
AU - Sun, Jian
AU - Huang, Guanhua
AU - Sangaiah, Arun Kumar
AU - Zhu, Guangyang
AU - Du, Xiaojiang
AU - Song, Houbing
N1 - Publisher Copyright:
© 2019 Jian Sun et al.
PY - 2019
Y1 - 2019
N2 - Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes, which can efficiently reduce bandwidth resource consumption (OSFCD-LSEM) and support the security and privacy of social IoT applications. The results of our simulation show that our proposed algorithm improves the bandwidth carrying rate, time efficiency, and acceptance rate by 50%, 60%, and 15%, respectively.
AB - Network function virtualization (NFV) is a new way to provide services to users in a network. Different from dedicated hardware that realizes the network functions for an IoT application, the network function of an NFV network is executed on general servers, and in order to achieve complete network functions, service function chaining (SFC) chains virtual network functions to work together to support an IoT application. In this paper, we focus on a main challenge in this domain, i.e., resource efficient provisioning for social IoT application oriented SFC requests. We propose an online SFC deployment algorithm based on the layered strategies of physical networks and an evaluation of physical network nodes, which can efficiently reduce bandwidth resource consumption (OSFCD-LSEM) and support the security and privacy of social IoT applications. The results of our simulation show that our proposed algorithm improves the bandwidth carrying rate, time efficiency, and acceptance rate by 50%, 60%, and 15%, respectively.
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U2 - 10.1155/2019/4074272
DO - 10.1155/2019/4074272
M3 - Article
AN - SCOPUS:85063429390
SN - 1939-0114
VL - 2019
JO - Security and Communication Networks
JF - Security and Communication Networks
M1 - 4074272
ER -