TSANI, RAFI FAJAR and Stiawan, Deris and Afifah, Nurul (2024) DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.
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Abstract
The security of web applications based on the HTTPS (Hypertext Transfer Protocol Secure) protocol is becoming increasingly important. Although using the HTTPS protocol adds an extra layer of security through data encryption, there are still security threats, including reverse exploits. A reverse exploit is an attack tactic that can allow unauthorized access to a web application and compromise its integrity. This research focuses on developing a detection method using the Naive Bayes detection algorithm approach. This algorithm is known to be effective in text analysis and probability-based data detection. The application of Naive Bayes in reverse exploit detection is expected to provide an intelligent and responsive solution to security threats in HTTPS-based web applications. This study uses a dataset of 15,089 raw .pcap files, which were processed and extracted into 3,280 labeled samples in CSV format, consisting of 2,124 normal data and 1,155 attack data from a Victim Reverse HTTPS scenario conducted in the COMNETS UNSRI Laboratory. The research results show that the model achieved an accuracy of 93%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Rafi Fajar Tsani |
| Date Deposited: | 18 Nov 2024 06:29 |
| Last Modified: | 18 Nov 2024 06:29 |
| URI: | http://repository.unsri.ac.id/id/eprint/159517 |
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