ANALISA PENDETEKSIAN WORM dan TROJAN PADA JARINGAN INTERNET UNIVERSITAS SEMARANG MENGGUNAKAN METODE KALSIFIKASI PADA DATA MINING C45 dan BAYESIAN NETWORK

Worm attacks become a dangerous threat and cause damage in the Internet network. If the Internet network worms and trojan attacks the very disruption of traffic data as well as create bandwidth capacity has increased and wasted making the Internet connection is slow. Detecting worms and trojan on th...

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Bibliographic Details
Main Authors: Rastri Prathivi, Vensy Vydia
Format: Article
Language:Indonesian
Published: Universitas Semarang 2017-01-01
Series:Transformatika
Subjects:
Online Access:http://journals.usm.ac.id/index.php/transformatika/article/view/440