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Deep learning algorithms for IoT security(survey).
- Source :
-
AIP Conference Proceedings . 2024, Vol. 2885 Issue 1, p1-13. 13p. - Publication Year :
- 2024
-
Abstract
- The Internet of Things and applications of Internet of thing (IoT) are becoming popular among various users nowadays, because it makes their life more easy. Because of its spread, attacks that target these various devices have increased dramatically, that may cause the unavailable of entire system. Some types of these attacks are man in the middle attack, sybil attack, denial of service attack, and replay attack. So, whenever the attacks have increased, solutions of the detection of malware in the internet of thing have also increased. one of the current solutions is a deep learning algorithms, In many research fields, deep learning techniques have demonstrated their capacity to detect anomalies accurately. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MACHINE learning
*DEEP learning
*DENIAL of service attacks
*INTERNET of things
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2885
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 175940008
- Full Text :
- https://doi.org/10.1063/5.0181698