Intrusion Detection System (IDS) plays a critical role in maintaining network security by identifying abnormal or potentially malicious activities. However, the increasing complexity and volume of network traffic in distributed environments pose challenges for conventional detection systems in terms of accuracy and real-time capability. This study proposes an unsupervised learning-based IDS usi…
Brute force adalah salah satu metode umum yang paling sering digunakan oleh peretas dalam kejahatan siber. IOTA merupakan pendekakan blockchain sekuensial dengan Directed Acyclic Graph (DAG) berdasarkan Distributed Ledger Technology (DLT) open source yang dirancang khusus untuk industri IoT/IoE. IOTA Hornet node yang terpasang pada cyber-physical system seperti pada server yang merupakan critic…
The advancement of technology has a significant impact on computer network security, particularly on web servers that are highly vulnerable to various cyber threats. Common attacks Brute Force attacks and Denial of Service (DoS) attacks, therefore a network security system capable of detecting these threats is essential. This project aims to implement an Intrusion Detection System (IDS) using S…
The focus of the study is to perform a collaboration of IDS system with honeypot and snort. It aims to improve the intrusion detection against probe attack where a probe is an attack that aims to collect information about targets such as host, port, and others. The pattern of the attack is obtained based on traffic analysis that will be tested using tools nessus and zenmap. The purpose of the r…