Intrusion Detection Systems, Issues, Challenges, and Needs

• 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/30639/1/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
• Institution: Universiti Malaysia Pahang

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...