Internet of Things Deployment based on Fog Computing Systems: Security Approach

Author:

ChinaTelecomSichuanBranch LiangyuZhang1

Affiliation:

1. Chengdu610000

Abstract

Abstract A smart grid with numerous capabilities has been developed using the Internet of Things (IoT). Due to the high volume of computing of the IoT, there is fog computing, which puts the burden of processing on the cloud computing to lighten the network load, which leading to improved efficiency, energy efficiency, and quality of services optimization. This research provides an intelligent method of IoT-based deploying for intrusion detection by using KDD CUP data to improve accessibility while maintaining security to reduce penetrations. The Social Spider Algorithm (SSA) as a swarm intelligence algorithm has been considered as a solution to improve this problem. The results represented that improvements in intrusion detection and availability have been made by maintaining security over previous methods.

Publisher

Research Square Platform LLC

Reference18 articles.

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2. Richa, Verm, & Chandra, S. (2021). Interval-Valued Intuitionistic Fuzzy-Analytic Hierarchy Process for evaluating the impact of security attributes in Fog based Internet of Things paradigm. Computer Communications, Vol. 175, pp. 35–46.

3. Security and privacy-awareness in a software-defined fog computing network for the Internet of Things;Abdulrahman Alamer;Optical Switching and Networking,2021

4. Internet-of-Things and fog-computing as enablers of new security and privacy threats;Massimo Ficco;Internet of Things,2019

5. Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing;Chen Y;Knowledge-Based Systems,2022

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