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

Publication Type : Conference Paper

Publisher : EAI

Source : Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India

Url : https://doi.org/10.4108/eai.7-12-2021.2314539

Campus : Coimbatore

Center : TIFAC CORE in Cyber Security

Year : 2021

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.

Cite this Research Publication : R Anusuya, Karthika Renuka, S Bhuvaneshwari, Deep Learning Techniques for Security in Edge Computing: A Detailed Survey, Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India, EAI, 2021, https://doi.org/10.4108/eai.7-12-2021.2314539

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