Name
Abstract | ||
|---|---|---|
The authenticity and integrity of sensed data in the data collection stage is a very critical aspect for the smart city industrial environment. They impact the accuracy of data analysis and the objectivity of making decisions. However, how to identify attack behaviors from environmental interference and establish a secure route to transmit data for resource-constrained terminals are challenging problems. To address these problems, in this article, we propose a trust-based security system (TSS). In TSS, we first design a trust model using binomial distribution for calculating the node's trust value and a third-party recommendation scheme for improving the objectivity of trust value. Then, we propose a trust management scheme for preventing the
<sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on–off</small>
attack. After that, we design a secure routing protocol, which is used to balance the security, transmission performance, and energy efficiency. Finally, the analytical results of the TSS are evaluated with extensive simulation experiment. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3006137 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Data collecting,internal attacks,Internet of things (IoT),on–off attack,smart city,trust management | Journal | 17 |
Issue | ISSN | Citations |
6 | 1551-3203 | 3 |
PageRank | References | Authors |
0.41 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weidong Fang | 1 | 24 | 2.45 |
| Ningning Cui | 2 | 10 | 1.86 |
| Wei Chen | 3 | 22 | 7.51 |
| Wuxiong Zhang | 4 | 19 | 4.43 |
| Yunliang Chen | 5 | 4 | 2.45 |