DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE LOGISTIC REGRESSION

Botnets are a serious cyberattack threat that infects computer networks controlled by botmasters to carry out malicious activities. Various types of botnets have emerged over the years, posing a significant threat to cybersecurity. These botnets' malicious activities vary from executing instruction-based attacks such as DDoS attacks, flooding, and spamming. This study used the CICIoT2023 datase…

KLASIFIKASI MULTI-CATEGORY SPORTS IMAGE MENGGUNAKAN SWIN TRANSFORMERS

Edition

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ISBN/ISSN

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Collation

xvi, 76 hlm.; ilus.; tab.; 29 cm.

Series Title

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Call Number

T1840272025

ANALISIS DAN PREDIKSI NILAI IMPOR INDONESIA MENGGUNAKAN PENDEKATAN ALGORITMA …

Accurate forecasting of import values is crucial for effective economic planning and policy-making in emerging economies like Indonesia. This study evaluates the performance of three prominent Machine Learning (ML) models—Support Vector Regression (SVR), Random Forest, and Decision Tree—for forecasting Indonesian goods and services imports. Utilising historical macroeconomic time series dat…

IMPLEMENTASI INTRUSION DETECTION SYSTEM MENGGUNAKAN SNORT BERBASIS PARALLEL C…

This research develops an Intrusion Detection System (IDS) based on Snort, optimized using parallel computing with the Message Passing Interface (MPI). The system is built with an architecture consisting of one master and two workers running Snort in parallel to detect ICMP traffic. Detection logs are collected through a shared folder and monitored by the master using a Python script, which als…

PENGEMBANGAN MODEL SEGMENTASI DAN ALIGMENT CITRA PRA KANKER SERVIKS MENGGUNAK…

Cervical cancer is one of the leading causes of death in women worldwide, so early detection of precancerous lesions is crucial to reduce mortality. Conventional screening methods such as VIA and Pap Smear still have limited accuracy and risk producing false positives and false negatives. This study aims to develop a deep learning-based cervical image segmentation model using the You Only Look …

DETEKSI EXPLOIT REVERSE HTTPS DENGAN METODE DECISION TREE

Exploit Reverse HTTPS merupakan sebuah konsep teknik serangan malware yang dilakukan oleh penyerang untuk mengekspos kelemahan dalam lapisan HTTPS pada sistem atau aplikasi untuk mencuri atau mengambil informasi penting dari target. Penelitian ini menggunakan dataset dari COMNETS Research Lab Universitas Sriwijaya yang berupa data mentah dalam bentuk .pcap yang dihasilkan dari skenario eksperim…

DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME DENGAN MENGGUNAKAN…

Smart Home is a form of automation technology designed to facilitate household activities with the help of the Internet of Things (IoT). IoT technology enables objects around us, such as sensors, cameras, and smart devices, to connect to the Internet. However, the advancement of IoT technology also makes it a target for cyberattacks such as Distributed Denial of Service (DDoS), Denial of Servic…

IMPLEMENTASI METODE FUZZY LOGIC PADA SISTEM KESEIMBANGAN ROBOT BAWAH AIR

This research was motivated by conducting underwater exploration, because underwater exploration has a high risk if carried out by humans, with the difficulty of accessing underwater areas, so in this research it was formulated how to conduct exploration in underwater areas without having to involve humans to go directly into the water. in the air. The aim of this research is to create an under…

PERBANDINGAN ANALISIS STATIS DAN DINAMIS PADA DETEKSI WANNACRY RANSOMWARE

Ransomware is a type of malware that encrypts the victim's data and demands a ransom to restore access, with WannaCry being one of the most notorious variants exploiting EternalBlue on the SMB protocol. This study compares static and dynamic analysis methods in detecting WannaCry ransomware to evaluate their effectiveness. Static analysis is performed without executing the ransomware, using too…

IMPLEMENTASI MODEL NATURAL LANGUAGE PROCESSING (NLP) PADA SISTEM REKOMENDASI …

Advances in technology present challenges in matching individual skills with appropriate job recommendations. This research develops a Natural Language Processing (NLP) based job recommendation system using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) models. The research data is obtained from the Hugging Face and Kaggle public datasets, which include descriptions of wor…

SISTEM KLASIFIKASI PENYAKIT KULIT (LESI) MENGGUNAKAN TEKNIK PENGOLAHAN DIGITA…

Skin diseases account for 1.79% of the world's disease burden. Indonesia is ranked 3rd of the top ten diseases in the world. Digital processing can enable better feature extraction from images of skin lesions, thereby aiding in the identification of patterns or characteristics that may be difficult to recognize by the human eye. Deep learning has demonstrated the ability to understand and proce…

IMPLEMENTASI PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR DAN ALGORITMA SUPPORT …

Air pollution is a very big problem for every country, both developed and developing countries. The amount of pollution in the dense population causes an increase in the level of air pollution due to pollutant gases. There are five main parameters that become the standard for gases that cause air pollution in the form of Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Ozone …