Research of Secure Data Aggregation in Internet of Things

2013 ◽  
Vol 416-417 ◽  
pp. 1466-1469
Author(s):  
Fu Zhao Sun
Keyword(s):  
Internet Of Things ◽  
Data Aggregation ◽  
Homomorphic Encryption ◽  
Sensor Data ◽  
Algebraic Operation ◽  
Wide Range ◽  
Secure Data ◽  
Potential Applications ◽  
Secure Data Aggregation ◽  
The Internet Of Things

Internet of Things has received more and more attention, due to a wide range of potential applications. In this paper, we propose a secure data aggregation framework for the Internet of Things. It is based on fully homomorphic encryption. Moreover, this is a form of encryption where any specific algebraic operation performed on the raw sensor data is equivalent to the same algebraic operation performed on the cryptographic sensor data.

A Secure Data Aggregation Strategy in Edge Computing and Blockchain empowered Internet of Things

2020 ◽  
pp. 1-1
Author(s):  
Xiaoding Wang ◽  
Sahil Garg ◽  
Hui Lin ◽  
Georges Kaddoum ◽  
Jia Hu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Aggregation ◽  
Edge Computing ◽  
Secure Data ◽  
Secure Data Aggregation

Discrete logarithm based additively homomorphic encryption and secure data aggregation

2011 ◽  
Vol 181 (16) ◽  
pp. 3308-3322 ◽  
Author(s):  
Licheng Wang ◽  
Lihua Wang ◽  
Yun Pan ◽  
Zonghua Zhang ◽  
Yixian Yang
Keyword(s):  
Data Aggregation ◽  
Homomorphic Encryption ◽  
Discrete Logarithm ◽  
Secure Data ◽  
Secure Data Aggregation

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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