Privacy and integrity-preserving data aggregation scheme for wireless sensor networks digital twins

The security technology of digital twin is an important guarantee to ensure the security of digital twin operation, which mainly includes network security technology, data security technology and privacy protection technology. In wireless sensor networks, data aggregation technologies are known as a...

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Vydáno v:Journal of cloud computing : advances, systems and applications Ročník 12; číslo 1; s. 140 - 11
Hlavní autoři: Zhang, Zhiming, Yang, Wei, Wu, Fuying, Li, Ping
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
Springer Nature B.V
SpringerOpen
Témata:
Computer Communication Networks
Computer Science
Computer System Implementation
Computer Systems Organization and Communication Networks
Data aggregation
Data integrity
Data management
Digital twins
Edge/Cloud-based Secure
Energy consumption
Fingerprinting
Homomorphic fingerprinting
Information Systems Applications (incl.Internet)
Integrity
Network security
Privacy
Privacy function
privacy-conscious digital twins
Sensors
Software Engineering/Programming and Operating Systems
Special Purpose and Application-Based Systems
trustable
Wireless communications
Wireless sensor networks
Data aggregation
Wireless sensor networks
Homomorphic fingerprinting
Digital twins
Privacy function
ISSN:2192-113X, 2192-113X
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Popis
Shrnutí:The security technology of digital twin is an important guarantee to ensure the security of digital twin operation, which mainly includes network security technology, data security technology and privacy protection technology. In wireless sensor networks, data aggregation technologies are known as a suitable solution to reduce energy consumption. In addition, due to wireless communications, wireless sensor networks are subject to many attacks. Therefore, it is very important to provide data security in the data aggregation process. In this paper, in order to protect data privacy and verify data integrity, moreover, balance the energy consumption and security during the data aggregation, we present a privacy and integrity–preserving data aggregation scheme for wireless sensor networks based on digital twins technology and homomorphic fingerprinting (HFPIDA). The HFPIDA adopts privacy function to protect data privacy and adopts homomorphic fingerprinting technology to verify the aggregation data integrity. Security analysis shows that the HFPIDA can effectively preserve data privacy and verify data integrity. Simulation results show that the HFPIDA requires less communication and energy overheads, and can achieve higher aggregation accuracy.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2192-113X
2192-113X
DOI:10.1186/s13677-023-00522-7