IPSadas: Identity‐privacy‐aware secure and anonymous data aggregation scheme

2021 ◽  
Author(s):  
Pei Ren ◽  
Fengyin Li ◽  
Ying Wang ◽  
Huiyu Zhou ◽  
Peiyu Liu
Keyword(s):  
Data Aggregation ◽  
Identity Privacy ◽  
Aggregation Scheme

An Effective Early Message Ahead Join Adaptive Data Aggregation Scheme for Sustainable IoT

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Ouyang Yan ◽  
Anfeng Liu ◽  
Naixue Xiong ◽  
Tian Wang
Keyword(s):  
Data Aggregation ◽  
Aggregation Scheme

Ultra-reliable secure data aggregation scheme with low latency for isolated terminals in 5G and beyond defined STINs

2021 ◽  
pp. 103512
Author(s):  
Chen Wang ◽  
Jian Shen ◽  
Pandi Vijayakumar ◽  
Qi Liu ◽  
Sai Ji
Keyword(s):  
Data Aggregation ◽  
Low Latency ◽  
Secure Data ◽  
Aggregation Scheme ◽  
Secure Data Aggregation

A lightweight and fault-tolerable data aggregation scheme for privacy-friendly smart grids environment

2021 ◽  
Author(s):  
Chengpeng Huang ◽  
Xiaoming Wang ◽  
Qingqing Gan ◽  
Daxin Huang ◽  
Mengting Yao ◽  
...  
Keyword(s):  
Data Aggregation ◽  
Smart Grids ◽  
Aggregation Scheme

An Event-Based Data Aggregation Scheme Using PCA and SVR for WSNs

2017 ◽  
Author(s):  
Xiaojing Zhang ◽  
Hao Wu ◽  
Qingyuan Li ◽  
Bin Pan
Keyword(s):  
Data Aggregation ◽  
Aggregation Scheme ◽  
Event Based

scholarly journals An Elliptic Curve-Based Scalable Data Aggregation Scheme for Smart Grid

2020 ◽  
Vol 14 (2) ◽  
pp. 2066-2077
Author(s):  
Yuwen Chen ◽  
Jose-Fernan Martinez-Ortega ◽  
Pedro Castillejo ◽  
Lourdes Lopez
Keyword(s):  
Smart Grid ◽  
Elliptic Curve ◽  
Data Aggregation ◽  
Aggregation Scheme

scholarly journals A Distributed Collision-Free Data Aggregation Scheme for wireless sensor network

2018 ◽  
Vol 14 (8) ◽  
pp. 155014771879584 ◽  
Author(s):  
Danyang Qin ◽  
Yan Zhang ◽  
Jingya Ma ◽  
Ping Ji ◽  
Pan Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Large Scale ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Delay ◽  
Free Data ◽  
Aggregation Scheme ◽  
Aggregation Technology

Due to the advantages of large-scale, data-centric and wide application, wireless sensor networks have been widely used in nowadays society. From the physical layer to the application layer, the multiply increasing information makes the data aggregation technology particularly important for wireless sensor network. Data aggregation technology can extract useful information from the network and reduce the network load, but will increase the network delay. The non-exchangeable feature of the battery of sensor nodes makes the researches on the battery power saving and lifetime extension be carried out extensively. Aiming at the delay problem caused by sleeping mechanism used for energy saving, a Distributed Collision-Free Data Aggregation Scheme is proposed in this article to make the network aggregate data without conflicts during the working states periodically changing so as to save the limited energy and reduce the network delay at the same time. Simulation results verify the better aggregating performance of Distributed Collision-Free Data Aggregation Scheme than other traditional data aggregation mechanisms.

scholarly journals Secure Data Aggregation Scheme for IOT Applications in Cloud

2020 ◽  
Vol 9 (4S2) ◽  
pp. 70-76
Keyword(s):  
Cloud Computing ◽  
Data Hiding ◽  
Data Aggregation ◽  
Dynamic Network ◽  
Security And Privacy ◽  
Iot Applications ◽  
P Gene ◽  
Private Data ◽  
Aggregation Scheme ◽  
And Storage

While Internet of Things (IoT) technology comprises of nodes that are self-configuring and intelligent which are interconnected in a dynamic network, utilization of shared resources has been revolutionized by the cloud computing effectively reducing the cost overheadamong the cloud users.The major concerns of IoT infrastructure are reliability, performance, security and privacy. Cloud computing is popular for its unlimited storage and processing power. Cloud computing is much more matured with the capability to resolve most of the issues in IoT technology. A suitable way to address most of the issues in IoT technology is by integrating IoTparadigm into the Cloud technology.In this regard, we propose a methodology of applying our EPAS scheme for IoT applications. In our previous work[2] , we have proposed an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for private data transmission and storage by utilizing Enhanced P-Gene erasable data hiding approach. Enhanced P-Gene scheme ensures secure transmission and storage of private data by relying on a data aggregation scheme fully dependent on erasable data hiding technique. In the current work we analyse the applicability of the EPAS scheme for IoT applications. Experimental results show the suitability of the proposed scheme for application involving numeric data and also demonstrates performance improvement with existing proposals for data aggregation in cloud.

scholarly journals A Data Aggregation Scheme for Enhancing the Efficiency of Data Aggregation and Correctness in Wireless Sensor Networks

2006 ◽  
Vol 16 (5) ◽  
pp. 531-536
Author(s):  
Hyun-Tae Kim ◽  
Tae-Young Yu ◽  
Kyu-Su Jung ◽  
Yeong-Bae Jeon ◽  
In-Ho Ra
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Aggregation Scheme
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