Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment

Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment

The sharp rise in network attacks has been a major source of concern in cyber security, particularly that now internet usage and connectivity are in high demand. As a complement to cloud computing, fog computing can offer low-latency services among users of mobile and the cloud. Because of the close...

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Bibliographic Details
Main Authors: John Oche Onah, Shafi’i Muhammad Abdulhamid, Mohammed Abdullahi, Ibrahim Hayatu Hassan, Abdullah Al-Ghusham
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Machine Learning with Applications
Subjects:
Fog computing
Intrusion detection system
Network anomaly detection
Cyber security
Genetic algorithm
Naïve Bayes
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000785

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