Deep Learning Techniques for Security in Edge Computing: A Detailed Survey

Anusuya, R and Renuka, Karthika and Bhuvaneshwari, S (2021) Deep Learning Techniques for Security in Edge Computing: A Detailed Survey. In: ICCAP 2021, 7-8 December 2021, Chennai, India.

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Abstract

Massive amounts of data are generated instantly and as computing power gets increased subsequently the performance of cloud computing is dissatisfying. The security and privacy concerns of the user is also a serious issue. Edge computing (EC) is taken into account in recent years to resolve these issues. The major goal of this study is to know how well edge computing corresponds to the cloud and notably improves the overall performance. In the context of edge computing, the paper also shows how effective deep learning approaches are for security.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: edge computing deep learning autoencoders
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 24 Feb 2022 14:21
Last Modified: 24 Feb 2022 14:21
URI: https://eprints.eudl.eu/id/eprint/9722

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