TUNGKUP, ALESSANDRO LUMBAN and Stiawan, Deris and Afifah, Nurul (2025) DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.
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Abstract
Reverse HTTPS Exploit is a type of malware attack technique used by attackers to exploit vulnerabilities in the HTTPS layer of an application or system, aiming to steal sensitive data from the target. This study utilized raw dataset files in .pcap format provided by the COMNETS Research Lab at Sriwijaya University. The data was collected through realistically designed experimental scenarios to detect vulnerabilities in the HTTPS protocol using Dynamic Analysis and the Random Forest algorithm. The results demonstrate that the Random Forest method is highly effective in identifying Reverse HTTPS attacks, achieving a detection accuracy of 96.58%.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Android, Malware, Reverse HTTPS, Dynamic Analysis, Random Forest. |
Subjects: | T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Alessandro Lumban Tungkup |
Date Deposited: | 15 Jul 2025 01:59 |
Last Modified: | 15 Jul 2025 01:59 |
URI: | http://repository.unsri.ac.id/id/eprint/178474 |
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