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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press B.V.
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30639/1/Intrusion%20Detection%20Systems%2C%20Issues%2C%20Challenges%2C%20and%20Needs.pdf http://umpir.ump.edu.my/id/eprint/30639/ https://dx.doi.org/10.2991/ijcis.d.210105.001 https://dx.doi.org/10.2991/ijcis.d.210105.001 |
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| Institution: | Universiti Malaysia Pahang |
| Language: | English |