Enhancing Device Authentication in IoT Security Application using Artificial Intelligence: A Survey

Technological advancement over the last decade has seen significant technological development, particularly in IoT, which is the most used and commercialized. This is due to its convenience, as it gives users remote control of their appliances via portable devices like smartphones and tablets, without needing to be physically present or close to those devices. As IoT technologies continue to grow and new innovative solutions for everyday applications are being developed there are more interconnected devices and large volumes of data being generated every second. However, the rapid growth of IoT has heightened security concerns, especially around device authentication. This paper reviews IoT authentication complexities and explores Machine Learning solutions under AI, comparing various algorithms and, providing a foundation for researchers and developers in the field.

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Published
2024-12-06
DOI
https://doi.org/10.1109/ccis63231.2024.10932132
Primary Topic
Advanced Malware Detection Techniques
Type
article
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Enhancing Device Authentication in IoT Security Application using Artificial Intelligence: A Survey

Mangal Sain, Amit Kumar Goyal, Aasheesh Shukla, Maame Serwah Dumfeh Brogya et al.
Advanced Malware Detection Techniques
article

Enhancing Device Authentication in IoT Security Application using Artificial Intelligence: A Survey

Mangal Sain, Amit Kumar Goyal, Aasheesh Shukla, Maame Serwah Dumfeh Brogya, Enrique Ayuso
article en

Abstract

Technological advancement over the last decade has seen significant technological development, particularly in IoT, which is the most used and commercialized. This is due to its convenience, as it gives users remote control of their appliances via portable devices like smartphones and tablets, without needing to be physically present or close to those devices. As IoT technologies continue to grow and new innovative solutions for everyday applications are being developed there are more interconnected devices and large volumes of data being generated every second. However, the rapid growth of IoT has heightened security concerns, especially around device authentication. This paper reviews IoT authentication complexities and explores Machine Learning solutions under AI, comparing various algorithms and, providing a foundation for researchers and developers in the field.

Chandigarh University (IN), Dongseo University (KR), GLA University (IN)
Openalex Percentile: Top 68%
Advanced Malware Detection Techniques
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