Secure Top-k query in edge-computing-assisted sensor-cloud systems

2021 ◽  
pp. 102244
Author(s):  
Jie Min ◽  
Xiaoyan Kui ◽  
Junbin Liang ◽  
Xingpo Ma
Keyword(s):  
Edge Computing ◽  
Cloud Systems ◽  
Sensor Cloud

scholarly journals A Reliable Data Compression Scheme in Sensor-Cloud Systems Based on Edge Computing

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Shaofei Lu ◽  
Qinhua Xia ◽  
Xiaolin Tang ◽  
Xuyang Zhang ◽  
Yingping Lu ◽  
...  
Keyword(s):  
Data Compression ◽  
Reliable Data ◽  
Edge Computing ◽  
Compression Scheme ◽  
Cloud Systems ◽  
Sensor Cloud

Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems

2021 ◽  
pp. 102212
Author(s):  
Ming Yan ◽  
Yewang Chen ◽  
Xiaoliang Hu ◽  
Dongdong Cheng ◽  
Yi Chen ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Imbalanced Data ◽  
Density Peak ◽  
Cloud Systems ◽  
Sensor Cloud ◽  
Density Peak Clustering

scholarly journals A Distributed Intelligent Hungarian Algorithm for Workload Balance in Sensor-Cloud Systems Based on Urban Fog Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 77649-77658 ◽  
Author(s):  
Junbin Liang ◽  
Yuxuan Long ◽  
Yaxin Mei ◽  
Tian Wang ◽  
Qun Jin
Keyword(s):  
Fog Computing ◽  
Cloud Systems ◽  
Hungarian Algorithm ◽  
Workload Balance ◽  
Sensor Cloud

scholarly journals When Sensor-Cloud Meets Mobile Edge Computing

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5324 ◽  
Author(s):  
Tian Wang ◽  
Yucheng Lu ◽  
Zhihan Cao ◽  
Lei Shu ◽  
Xi Zheng ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Security And Privacy ◽  
Future Research ◽  
Mobile Edge Computing ◽  
Control Center ◽  
Computing Center ◽  
Sensor Cloud ◽  
Evaluation Mechanism ◽  
And Control

Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds has greatly enhanced the computing power and storage capacity of traditional WSNs via exploiting the advantages of cloud computing in resource utilization. However, there are still many problems to be solved in sensor-clouds, such as the limitations of WSNs in terms of communication and energy, the high latency, and the security and privacy issues due to applying a cloud platform as the data processing and control center. In recent years, mobile edge computing has received increasing attention from industry and academia. The core of mobile edge computing is to migrate some or all of the computing tasks of the original cloud computing center to the vicinity of the data source, which gives mobile edge computing great potential in solving the shortcomings of sensor-clouds. In this paper, the latest research status of sensor-clouds is briefly analyzed and the characteristics of the existing sensor-clouds are summarized. After that we discuss the issues of sensor-clouds and propose some applications, especially a trust evaluation mechanism and trustworthy data collection which use mobile edge computing to solve the problems in sensor-clouds. Finally, we discuss research challenges and future research directions in leveraging mobile edge computing for sensor-clouds.

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