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SISTEM PENCEGAHAN SERANGAN MALWARE BANKING TROJAN DENGAN METODE RANDOM FOREST

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Penilaian

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Banking Trojans are one of the most well-known types of malware because they are designed to measure money directly from the bank accounts of mobile or PC users. Tinba is a small malware which is very difficult to detect because of its small size, smaller than other Trojan that is commonly known. The purpose of this paper is to monitor tinba traffic. Before the blocking stage, the initial stage is by checking the traffic with the Snort Engine, the traffic pattern is unique to the traffic. The data sets used were sourced from the Stratosphere IPS. Then the results from the Snort engine obtained attack data which will be processed by machine learning random forest to prove the accuracy of the dataset used. In this study, the accuracy obtained was 99.69%. The next stage is to prevent traffic using the Suricata engine. At this stage a manual simulation is carried out by attacking the victim's device. In the final stage of this research, 27 traffic successfully blocked by the IPS mode Suricata engine.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000850	T39447	T394472020	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T394472020

Publisher

Indralaya : Jurusan Sistem Komputer., 2020

Collation

xv, 52 hlm.; ilus., tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Serangan Malware

Specific Detail Info

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Statement of Responsibility

TUTI

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