| Trustworthy Machine Learning for Securing IoT Systems | |
|---|---|
| Author | |
| Abstract |
This paper first describes the security and privacy challenges for the Internet of Things IoT) systems and then discusses some of the solutions that have been proposed. It also describes aspects of Trustworthy Machine Learning (TML) and then discusses how TML may be applied to handle some of the security and privacy challenges for IoT systems. |
| Year of Publication |
2022
|
| Date Published |
oct
|
| Publisher |
IEEE
|
| Conference Location |
Shanghai, China
|
| ISBN Number |
978-1-66545-179-6
|
| URL |
https://ieeexplore.ieee.org/document/9944835/
|
| DOI |
10.1109/SmartCloud55982.2022.00038
|
| Google Scholar | BibTeX | DOI | |