Researcher Collab

SISTEM DETEKSI MAN IN THE MIDDLE (MITM) ATTACK PADA JARINGAN SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA) MENGGUNAKAN ARTIFICIAL NEURAL NETWORK

Supervisory Control and Data Acquisition is hardware that functions to control geographically dispersed industrial systems, where a centralized data acquisition needed in the operation of the system. IEC 60870-5-104 is one of the protocols used in Scada communication, this protocol has vulnerabilities security in the application layer and data link layer. Man in the Middle attacks has a very high risk of the Scada network, where these attacks can take over the communication between devices that communicate unnoticed. The detection system program in this research uses artificial Neural Networks to distinguish attack packages and normal packages. Detection results are evaluated with the Confusion Matrix to determine the accuracy of MITM ttack detection. From the results of this research, an accuracy of 99.91% was obtained with a TPR value of 100% and an FPR value of around 0.18% for error detection, while TNR ranged between 99.85% and FNR 0%.

Authors: Yogi Yaspranika, Deris Stiawan, Ahmad Heryanto

Publish Year: 2020