TY - JOUR
T1 - A secure IoT service architecture with an efficient balance dynamics based on cloud and edge computing
AU - Wang, Tian
AU - Zhang, Guangxue
AU - Liu, Anfeng
AU - Bhuiyan, Md Zakirul Alam
AU - Jin, Qun
N1 - Funding Information:
Manuscript received June 15, 2018; revised August 5, 2018; accepted August 28, 2018. Date of publication September 13, 2018; date of current version June 19, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61872154, Grant 61772148, and Grant 61672441, in part by the Natural Science Foundation of Fujian Province of China under Grant 2018J01092, in part by the Fujian Provincial Outstanding Youth Scientific Research Personnel Training Program, in part by the Subsidized Project for Cultivating Postgraduates Innovative Ability in Scientific Research of Huaqiao University under Grant 1611314018, and in part by 2017 and 2018 Waseda University Grants for Special Research Projects under Grant 2017B-302 and Grant 2018B-288. (Corresponding author: Qun Jin.) T. Wang and G. Zhang are with the College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China (e-mail: cs_tianwang@163.com).
PY - 2019/6
Y1 - 2019/6
N2 - The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only enhances the IoT's capability but also expands the scope of its applications. However, it exhibits significant security and efficiency problems that must be solved. Internal attacks account for a large fraction of the associated security problems, however, traditional security strategies are not capable of addressing these attacks effectively. Moreover, as repeated/similar service requirements become greater in number, the efficiency of IoT-Cloud services is seriously affected. In this paper, a novel architecture that integrates a trust evaluation mechanism and service template with a balance dynamics based on cloud and edge computing is proposed to overcome these problems. In this architecture, the edge network and the edge platform are designed in such a way as to reduce resource consumption and ensure the extensibility of trust evaluation mechanism, respectively. To improve the efficiency of IoT-Cloud services, the service parameter template is established in the cloud and the service parsing template is established in the edge platform. Moreover, the edge network can assist the edge platform in establishing service parsing templates based on the trust evaluation mechanism and meet special service requirements. The experimental results illustrate that this edge-based architecture can improve both the security and efficiency of IoT-Cloud systems.
AB - The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only enhances the IoT's capability but also expands the scope of its applications. However, it exhibits significant security and efficiency problems that must be solved. Internal attacks account for a large fraction of the associated security problems, however, traditional security strategies are not capable of addressing these attacks effectively. Moreover, as repeated/similar service requirements become greater in number, the efficiency of IoT-Cloud services is seriously affected. In this paper, a novel architecture that integrates a trust evaluation mechanism and service template with a balance dynamics based on cloud and edge computing is proposed to overcome these problems. In this architecture, the edge network and the edge platform are designed in such a way as to reduce resource consumption and ensure the extensibility of trust evaluation mechanism, respectively. To improve the efficiency of IoT-Cloud services, the service parameter template is established in the cloud and the service parsing template is established in the edge platform. Moreover, the edge network can assist the edge platform in establishing service parsing templates based on the trust evaluation mechanism and meet special service requirements. The experimental results illustrate that this edge-based architecture can improve both the security and efficiency of IoT-Cloud systems.
KW - Edge computing
KW - Efficiency
KW - Internal attacks
KW - Internet of Things (IoT)
KW - Security
KW - Trust evaluation mechanism
UR - http://www.scopus.com/inward/record.url?scp=85053311169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053311169&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2018.2870288
DO - 10.1109/JIOT.2018.2870288
M3 - Article
AN - SCOPUS:85053311169
SN - 2327-4662
VL - 6
SP - 4831
EP - 4843
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 8464241
ER -