SAPUTRA, DIO AZMI and Stiawan, Deris (2021) VISUALISASI SERANGAN PAKET RANSOMWARE MENGGUNAKAN METODE DEEP PACKET INSPECTION. Undergraduate thesis, Sriwijaya University.
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Abstract
Visualization is a technique to present the number of Ransomware packet attacks that occur on datasets that have been provided by Unavarra. Attacks Visualization aiming to recognize attacks and make it easier to understood. Deep Packet Inspection (DPI) is a method to detect anomalies that formed attack of Ransomware Packets that happened on the enterprise networks. Packets including Ransomware WannaCry attack can be detected by DPI and carried out by attacker to gain access file in the client or server. The attack pattern of Ransomware Wannacry Packet on Unavarra dataset can be identified by several parameters such as Protocol, Source Port, Destination Port, TLSv, and JA3 has been used. The results obtained from the detection of Ransomware Wannacry Packet are Fingerprint and can be categorized as emotet malware. The results of this study are obtained an attack detection accuracy which have the value 89%, then level of precision of dataset reached 100% and recall value reached 33%. Data of Ransomware Wannacry Packet can be visualized in data diagram, plot and dot which is quite good.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Visualisasi, Ransomware, Wannacry, Deep Packet Inspection, Fingerprint |
Subjects: | Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5 Mathematics--Periodicals. Computer engineering. Computer science Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.A25 Computer security. Systems and Data Security. |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Dio Azmi Saputra |
Date Deposited: | 03 Sep 2021 03:41 |
Last Modified: | 03 Sep 2021 03:41 |
URI: | http://repository.unsri.ac.id/id/eprint/53081 |
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