Skripsi

DETEKSI TROJAN METASPLOIT REVERSE TCP PADA NETWORK TRAFFIC DENGAN METODE K-NEAREST NEIGHBOR

---

Penilaian

---

Android is one of the most widely used operating systems. Android devices store various personal and sensitive information, which poses significant security risks. One of the major threats is the metasploit trojan using the reverse TCP technique, which allows attackers to remotely control the device. This study aims to detect the metasploit reverse TCP trojan in network traffic. The research utilizes the K-Nearest Neighbor (KNN) method for classification by determining the optimal number of nearest neighbors (k). The KNeighborsClassifier is used to build and train the model to detect patterns in the data. The results show that the K-Nearest Neighbor (KNN) method combined with feature selection using Recursive Feature Elimination (RFE) is effective in identifying relevant features. The use of KNN with RFE achieved an accuracy of 97.29%, which is higher than the model without feature selection, which only reached 95.66%, thus demonstrating improved performance in detecting Metasploit trojans. Keywords: Android, Trojan, Metasploit, Reverse, K-Nearest Neighbor

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003607	T176404	T1764042025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1764042025

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xiv, 103 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

004.07

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem komputer

Specific Detail Info

-

Statement of Responsibility

MI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment