
Research on Secure Communication in the Internet of Things
- 1 The Faculty of Radiophysics and Computer Technologies, Belarusian State University, 4 Nezavisimosti Ave, 220030, Minsk, Republic of Belarus
- 2 The Faculty of Radiophysics and Computer Technologies, Belarusian State University, 4 Nezavisimosti Ave, 220030, Minsk, Republic of Belarus
* Author to whom correspondence should be addressed.
Abstract
With the widespread penetration of the Internet of Things in various fields, its secure communication issues have become a key factor restricting the further development of the Internet of Things. This study deeply analyzes the many challenges faced by secure communications in the Internet of Things, including security risks of IoT cards , difficulties at the device and network levels, etc. The role of key technologies such as identity authentication, encryption, security analysis and threat prediction in ensuring secure communications in the Internet of Things is elaborated in detail. At the same time, the development trend of secure communications in the Internet of Things is discussed, such as the gradual improvement of standards and specifications and the application prospects of new technologies in security protection. Finally, strategies for dealing with secure communications issues in the Internet of Things from the technical level, management and cooperation level are proposed, aiming to provide comprehensive reference and guidance for research and practice in the field of secure communications in the Internet of Things, and promote the healthy and sustainable development of the Internet of Things industry.
Keywords
IOT, secure communications, security challenges, trend
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Cite this article
Geng,S.;Kozlova,E.I. (2025). Research on Secure Communication in the Internet of Things. Applied and Computational Engineering,138,79-85.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning
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