Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Image of DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA NETWORK TRAFFIC MENGGUNAKAN METODE EXTREME GRADIENT BOOSTING (XGBOOST)

Skripsi

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA NETWORK TRAFFIC MENGGUNAKAN METODE EXTREME GRADIENT BOOSTING (XGBOOST)

Lestari, Ayu - Personal Name;

Penilaian

0,0

dari 5

The rapid advancement of Android technology makes this operating system vulnerable to malware attacks, one of which is the Reverse TCP Trojan, capable of establishing a back connection from the victim’s device to the attacker without being detected. This study aims to analyze the characteristics of Android Reverse TCP malware attacks on network traffic and develop a detection model using the Extreme Gradient Boosting (XGBoost) method. The analysis process utilizes Snort IDS to detect suspicious activities and produces a dataset consisting of 2,822 records with 84 features. The data then undergo preprocessing stages, including encoding, feature selection, data splitting, and class balancing using SMOTE. The XGBoost model is developed with the best parameter configuration. Evaluation results show that the model can detect Android Reverse TCP malware attacks with 98% accuracy, 98% precision, 98% recall, and 98% F1-score. This performance indicates that the XGBoost method has excellent capability in identifying malicious activities in network traffic and can be effectively applied to machine learning based malware detection systems.

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507006196	T185474	T1854742025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1854742025
Publisher: Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation: xiv, 78 hlm.; ilus.; tab.; 29 cm.
Language: Indonesia
ISBN/ISSN: -
Classification: 005.840 7
Content Type: Text
Media Type: unmediated
Carrier Type: other (computer)
Edition: -
Subject(s): Prodi Sistem Komputer
Deteksi Malware
Specific Detail Info: -
Statement of Responsibility: MI

Other version/related

Title	Edition	Language
DETEKSI SERANGAN DDOS DOS DAN MITM PADA PERANGKAT SMART HOME MENGGUNAKAN METODE NAÏVE BAYES		id
DETEKSI MALWARE RANSOMWARE PADA PLATFORM ANDROID MENGGUNAKAN METODE RANDOM FOREST		id
DETEKSI MALWARE PADA FILE PORTABLE DOCUMENT FORMAT (PDF) DENGAN BYTE FREQUENCY DISTRIBUTION (BFD) DAN PENDEKATAN SUPPORT VECTOR MACHINE (SVM)		id
DETEKSI MALWARE ANDROID MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)		id
DETEKSI MALWARE TROJAN PADA LALU LINTAS JARINGAN REVERSE TCP DENGAN ALGORITMA DECISION TREE		id
DETEKSI SERANGAN MALWARE RANSOMWARE PADA BITCOIN MINING DENGAN METODE K-MEANS CLUSTERING		id
DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA LALU LINTAS JARINGAN MENGGUNAKAN METODE SUPPORT VECTOR MACHINE		id

File Attachment

DETEKSI SERANGAN MALWARE ANDROID REVERSE TCP PADA NETWORK TRAFFIC MENGGUNAKAN METODE EXTREME GRADIENT BOOSTING (XGBOOST)

Comments

You must be logged in to post a comment