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

An efficient secure data aggregation scheme for wireless sensor networks

IISA 2013 ◽  
2013 ◽  
Author(s):  
Soufiene Ben Othman ◽  
Hani Alzaid ◽  
Abdelbasset Trad ◽  
Habib Youssef
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Secure Data ◽  
Aggregation Scheme ◽  
Secure Data Aggregation

scholarly journals Comprehensive Analysis of Secure Data Aggregation Scheme for Industrial Wireless Sensor Network

2019 ◽  
Vol 61 (2) ◽  
pp. 583-599 ◽  
Author(s):  
Weidong Fang ◽  
Wuxiong Zhang ◽  
QianQian Zhao ◽  
Xiaohong Ji ◽  
Wei Chen ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Comprehensive Analysis ◽  
Wireless Sensor ◽  
Secure Data ◽  
Aggregation Scheme ◽  
Secure Data Aggregation ◽  
Industrial Wireless Sensor Network

scholarly journals EPPDA: An Efficient and Privacy-Preserving Data Aggregation Scheme with Authentication and Authorization for IoT-Based Healthcare Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Faris A. Almalki ◽  
Ben Othman Soufiene
Keyword(s):  
Data Aggregation ◽  
Data Privacy ◽  
Homomorphic Encryption ◽  
Data Integrity ◽  
Privacy Preserving ◽  
Healthcare Applications ◽  
Healthcare Data ◽  
Secure Data ◽  
Aggregation Scheme ◽  
Secure Data Aggregation

Nowadays, IoT technology is used in various application domains, including the healthcare, where sensors and IoT enabled medical devices exchange data without human interaction to securely transmit collected sensitive healthcare data towards healthcare professionals to be reviewed and take proper actions if needed. The IoT devices are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. In healthcare applications, many miniaturized devices are exploited for healthcare data collection and transmission. Thus, there is a need for secure data aggregation while preserving the data integrity and privacy of the patient. For that, the security, privacy, and aggregation of health data are very important aspects to be considered. This paper proposes a novel secure data aggregation scheme called “An Efficient and Privacy-Preserving Data Aggregation Scheme with authentication for IoT-Based Healthcare applications” (EPPDA). EPPDA is based to verification and authorization phase to verify the legitimacy of the nodes that need to join the process of aggregation. EPPDA, also, uses additive homomorphic encryption to protect data privacy and combines it with homomorphic MAC to check the data integrity. The major advantage of homomorphic encryption is allowing complex mathematical operations to be performed on encrypted data without knowing the contents of the original plain data. The proposed system is developed using MySignals HW V2 platform. Security analysis and experimental results show that our proposed scheme guarantees data privacy, messages authenticity, and integrity, with lightweight communication overhead and computation.

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