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Edge Computing in Intelligent IoT
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Author(s): Rajarajeswari S. (Vellore Institute of Technology, Chennai, India)and Hema N. (Vellore Institute of Technology, Chennai, India)
Copyright: 2023
Pages: 25
Source title:
Convergence of Deep Learning and Internet of Things: Computing and Technology
Source Author(s)/Editor(s): T. Kavitha (New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India), G. Senbagavalli (AMC Engineering College, Visvesvaraya Technological University, India), Deepika Koundal (University of Petroleum and Energy Studies, Dehradun, India), Yanhui Guo (University of Illinois, USA)and Deepak Jain (Chongqing University of Posts and Telecommunications, China)
DOI: 10.4018/978-1-6684-6275-1.ch008
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Abstract
We can perceive, analyse, control, and optimise the conventional physical systems thanks to pervasive IoT applications. Numerous IoT apps have recently had security breaches, which suggests that IoT applications could endanger physical systems. Numerous security issues in IoT applications are mostly caused by two factors: severe resource restrictions and inadequate security architecture. Edge-based security designs for IoT applications are still in their infancy, despite some research efforts in this direction. In addition to providing an in-depth analysis of current edge-based IoT security options, this study seeks to provide inspiration for new edge-based IoT security designs. A significant deal of progress in artificial intelligence (AI) opens up a number of potential avenues for addressing the security challenges in the setting that privacy preservation and security have become essential issues for EC. This chapter addresses issues with edge computing-based internet of things at the computation and security levels.
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