Cited By
View all- Zhang MZhi HZhao JLi RChang XFan RXu K(2023)Research on power quality assessment based on ubiquitous power IoTApplied Mathematics and Nonlinear Sciences10.2478/amns.2023.1.000078:1(2873-2892)Online publication date: 10-Mar-2023
A Secure Transmission Scheme of Sensitive Power Information in Ubiquitous Power IoT
Pages 252 - 257
Abstract
As one of the national key infrastructures, the ubiquitous power Internet of Things (IoT) provides a convenient method for large-scale power information collection. The widespread transmission of massive power information using data mining techniques for large amounts of data can yield valuable information. Therefore, hacker attacks are endless, posing a threat to the security of the state, society, collectives and individuals. In this paper, we propose a secure transmission scheme of power information, named "SSD" (Split & Signature & Disturbing). In the scheme, after the data is split, it will be anonymized and selected for different paths to be transferred to the destination node. After recombination, the data will be restored. The SSD ensures the indistinguishability and security of the sensitive data by data splitting and disturbing method, and protects the anonymity of individual identities by group signature. The experimental results show that the individual prediction/actual data similarity approaches 0%, and the similarity ratio of the category data (three types in the experiment) is 37.32%, which can be judged to be basically non-correlated.
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- A Secure Transmission Scheme of Sensitive Power Information in Ubiquitous Power IoT
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December 2019
370 pages
ISBN:9781450376273
DOI:10.1145/3374587
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Published: 04 March 2020
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CSAI2019: 2019 3rd International Conference on Computer Science and Artificial Intelligence
December 6 - 8, 2019
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View all- Zhang MZhi HZhao JLi RChang XFan RXu K(2023)Research on power quality assessment based on ubiquitous power IoTApplied Mathematics and Nonlinear Sciences10.2478/amns.2023.1.000078:1(2873-2892)Online publication date: 10-Mar-2023
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