Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Imane Laassar
Ibn Tofail University
Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Intrusion detection systems for internet of thing based big data: a review Imane Laassar; Moulay Youssef Hadi
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v12.i1.pp87-96

Abstract

Network security is one of the foremost anxieties of the modern time. Over the previous years, numerous studies have been accompanied on the intrusion detection system. However, network security is one of the foremost apprehensions of the modern era this is due to the speedy development and substantial usage of altered technologies over the past period. The vulnerabilities of these technologies security have become a main dispute intrusion detection system is used to classify unapproved access and unusual attacks over the secured networks. For the implementation of intrusion detection system different approaches are used machine learning technique is one of them. In order to comprehend the present station of application of machine learning techniques for solving the intrusion discovery anomalies in internet of thing (IoT) based big data this review paper conducted. Total 55 papers are summarized from 2010 and 2021 which were centering on the manner of the single, hybrid and collaborative classifier design. This review paper also includes some of the basic information like IoT, big data, and machine learning approaches are discussed.
Co-Authors Moulay Youssef Hadi