VISUALISASI DATA SERANGAN PING FLOOD DENGAN METODE NAIVE BAYES DI JARINGAN INTERNET OF THINGS (IoT)

MARDHIATI, SRI and Stiawan, Deris (2020) VISUALISASI DATA SERANGAN PING FLOOD DENGAN METODE NAIVE BAYES DI JARINGAN INTERNET OF THINGS (IoT). Undergraduate thesis, Sriwijaya University.

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Abstract

Penelitian ini difokuskan pada visualisasi serangan ping flood menggunakan metode Naive Bayes. Penelitian ini menggunakan jaringan Internet of Thing (IoT) yang memiliki tiga jenis claster yaitu, normal, serangan dan gabungan. Pengujian dataset dilakukan menggunakan snort untuk membuktikan serangan ping flood pada dataset tersebut. (Klasifikasi ini dilakukan untuk mengelompokkan data menjadi serangan normal dan gabungan). Berdasarkan hasil confussion matrix, nilai akurasi yang diperoleh adalah 0,972. Langkah terakhir adalah memvisualisasikan dataset yang sudah di identifikasi dan di klasifikasikan berdasarkan masing-masing kelas, menggunakan metode naive Bayes. Dalam data Training nilai probabilitas kelas serangan yang diperoleh adalah 0,034 dan untuk nilai kelas normal yang diperoleh adalah 0,004.Untuk hasil data testing, nilai yang diperoleh adalah 0,12.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Kata Kunci : Internet of Things (IoT), Visualization, Classification Naive Bayes, Ping Flood
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.F6617 Data transmission systems, Computer networks
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Sri Mardhiati
Date Deposited: 30 Jul 2020 07:14
Last Modified: 30 Jul 2020 07:14
URI: http://repository.unsri.ac.id/id/eprint/31968

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