SISTEM PENCEGAHAN SERANGAN MALWARE BANKING TROJAN DENGAN METODE RANDOM FOREST

MAULIDIN, REZA and Stiawan, Deris and Heryanto, Ahmad (2021) SISTEM PENCEGAHAN SERANGAN MALWARE BANKING TROJAN DENGAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.

	Text RAMA_56201_09011181621017_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_56201_09011181621017.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
Preview	Text RAMA_56201_09011181621017_0003047905_0022018703_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_56201_09011181621017_0003047905_0022018703_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (706kB) | Request a copy
	Text RAMA_56201_09011181621017_0003047905_0022018703_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (507kB) | Request a copy
	Text RAMA_56201_09011181621017_0003047905_0022018703_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_56201_09011181621017_0003047905_0022018703_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (193kB) | Request a copy
	Text RAMA_56201_09011181621017_0003047905_0022018703_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (310kB) | Request a copy
	Text RAMA_56201_09011181621017_0003047905_0022018703_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (728kB) | Request a copy

Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Banking trojan, Malware, Tinba, Snort, Machine learning, Random Forest, Suricata.
Subjects:	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:	Users 6929 not found.
Date Deposited:	08 Jan 2021 07:47
Last Modified:	11 Jan 2021 03:21
URI:	http://repository.unsri.ac.id/id/eprint/39447

Actions (login required)

View Item