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ANALISA REAL-TIME DATA LOG HONEYPOT MENGGUNAKAN ALGORITMA K-MEANS PADA SERANGAN DISTRIBUTED DENIAL OF SERVICE

Hermawan, Denni Septian (2018) ANALISA REAL-TIME DATA LOG HONEYPOT MENGGUNAKAN ALGORITMA K-MEANS PADA SERANGAN DISTRIBUTED DENIAL OF SERVICE. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Cyber attacks on the internet are increasing. Various forms of cyber attacks will cause a disruption to the system which will cause the server to be unusable. Attacks that carry out continuous packet transmission with many computers such as Distributed Denial Of Service (DDoS) that are carried out by many hosts [3] will make the network unstable, even the network cannot be used because there are so many requests to meet the resource of the server. Honeypot can be used to detect and store information from DDoS attacks and then provide the results of a log data attack. The K-Means Clustering algorithm can group log data and group them into a data cluster that has the same time characteristics of a log of a Honeypot. From the cluster results and silhoulete coefficient calculation, network attacks are recorded in the second cluster with the value of the attack 845 with the highest attacker ip 210.124.164.133 of the total 7 clusters.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201410370311160
Keywords: Honeypot, K-Means, Silhulete Coeffisien, DDoS
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 20 Dec 2018 01:57
Last Modified: 20 Dec 2018 01:57
URI : http://eprints.umm.ac.id/id/eprint/42336

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