Skripsi

DETEKSI EXPLOIT REVERSE HTTPS MENGGUNAKAN METODE NAIVE BAYES

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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%.

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Availability

Detail Information

Series Title

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Call Number

T1595172024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xv, 32 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.807

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Keamanan Siber

Specific Detail Info

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Statement of Responsibility

TUTI

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