Intrusion Detection Systems, Issues, Challenges, and Needs

Intrusion Detection Systems, Issues, Challenges, and Needs

Intrusion detection systems (IDSs) are one of the promising tools for protecting data and networks; many classification algorithms, such as neural network (NN), Naive Bayes (NB), decision tree (DT), and support vector machine (SVM) have been used for IDS in the last decades. However, these classifie...

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Bibliographic Details
Main Authors: Aljanabi, Mohammad, Mohd Arfian, Ismail, Ali, Ahmed Hussein
Format: Article
Language:English
Published: Atlantis Press B.V. 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/30639/
http://umpir.ump.edu.my/id/eprint/30639/1/Intrusion%20Detection%20Systems%2C%20Issues%2C%20Challenges%2C%20and%20Needs.pdf

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