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Detection of Sybil Attack in Internet of Things

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International Conference on Artificial Intelligence for Smart Community

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 758))

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Abstract

The technology so called Internet of Things (IoT) has been knocking around discussion circles since few years back. Internet of Things, the technology behind the term is actually a simple idea, allowing the physical or dumb devices to get communicate with one another via the internet. Although the Internet of Things appears like it is just a concept at present, it will get to most of our lives very finely and ever soon. Also various industries will be affected distinctly. Though massive applications are there in IoT, data are getting transferred digitally in this modern world every day which paves the way for hackers to steal our private information. Hence the major grief is about digital security in todays’ existence. Enormous research in this security area is in progress which includes privacy threats, vulnerabilities and secured communication etc,. Among these issues the crucial aspect is security and privacy. IoT network architecture get varies with respect to different applications which are vulnerable to threats of different types used by the hackers to make use of the IoT network. Sybil Attack is one of them which affect the communication module of the whole network. In this paper, a speculation of detection and mitigation of the Sybil attack has proposed. In contrast to other existing schemes, this proposed conception will work better in each and every situation with less time consumption.

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Vinothini, C., Priya, J., Anitha, P., Reshmi, T.S. (2022). Detection of Sybil Attack in Internet of Things. In: Ibrahim, R., K. Porkumaran, Kannan, R., Mohd Nor, N., S. Prabakar (eds) International Conference on Artificial Intelligence for Smart Community. Lecture Notes in Electrical Engineering, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-16-2183-3_55

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  • DOI: https://doi.org/10.1007/978-981-16-2183-3_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2182-6

  • Online ISBN: 978-981-16-2183-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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