KLASIFIKASI IP PUBLIC PADA SISTEM INFORMASI APLIKASI ANJUNGAN MAHASISWA MENGGUNAKAN METODE NAIVE BAYES
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
SIBURIAN, CHRIST STEFANIE
Fitriani, Yessy
Sudirman, M.Yoga Distra
Fitriani, Yessy
Sudirman, M.Yoga Distra
Subject
Teknik Informatika
Datestamp
2023-05-30 08:24:06
Abstract :
One of the factors that affect quality in a network is network security. Computer network security as part of a system is very important to maintain the validity and integrity of data and ensure the availability of services for users. This has the possibility of disturbing the security of the system. One type of protection that can be carried out against information system attacks is an intrusion detection system combined with log data analysis. Where every activity will be monitored (logging), then the intrusion detection system analyzes the log data and tries to find activities that are potentially dangerous or attacknetwork security. Of course, the system itself cannot prevent this, but with the discovery of IP classification in the existing information system, it can provide an early warning so that it can immediately stop and prevent unwanted things from happening. In this study, the authors used the NaiveBayes method by testing the model using the Confusion Matrix to obtain an accuracy level of the classification model in this study was 98.8%
One of the factors that affect quality in a network is network security. Computer network security as part of a system is very important to maintain the validity and integrity of data and ensure the availability of services for users. This has the possibility of disturbing the security of the system. One type of protection that can be carried out against information system attacks is an intrusion detection system combined with log data analysis. Where every activity will be monitored (logging), then the intrusion detection system analyzes the log data and tries to find activities that are potentially dangerous or attacknetwork security. Of course, the system itself cannot prevent this, but with the discovery of IP classification in the existing information system, it can provide an early warning so that it can immediately stop and prevent unwanted things from happening. In this study, the authors used the NaiveBayes method by testing the model using the Confusion Matrix to obtain an accuracy level of the classification model in this study was 98.8%
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