Universiti Teknologi Malaysia Institutional Repository

The trends of supervisory control and data acquisition security challenges in heterogeneous networks

Arifin, M. Agus Syamsul and Susanto, Susanto and Stiawan, Deris and Idris, Mohd. Yazid and Budiarto, Rahmat (2021) The trends of supervisory control and data acquisition security challenges in heterogeneous networks. Indonesian Journal of Electrical Engineering and Computer Science, 22 (2). pp. 874-883. ISSN 2502-4752

Full text not available from this repository.

Official URL: http://ijeecs.iaescore.com/index.php/IJEECS/articl...

Abstract

Supervisory control and data acquisition (SCADA) has an important role in communication between devices in strategic industries such as power plant grid/network. Besides, the SCADA system is now open to any external heterogeneous networks to facilitate monitoring of industrial equipment, but this causes a new vulnerability in the SCADA network system. Any disruption on the SCADA system will give rise to a dangerous impact on industrial devices. Therefore, deep research and development of reliable intrusion detection system (IDS) for SCADA system/network is required. Via a thorough literature review, this paper firstly discusses current security issues of SCADA system and look closely benchmark dataset and SCADA security holes, followed by SCADA traffic anomaly recognition using artificial intelligence techniques and visual traffic monitoring system. Then, touches on the encryption technique suitable for the SCADA network. In the end, this paper gives the trend of SCADA IDS in the future and provides a proposed model to generate a reliable IDS, this model is proposed based on the investigation of previous researches. This paper focuses on SCADA systems that use IEC 60870-5-104 (IEC 104) protocol and distributed network protocol version 3 (DNP3) Protocol as many SCADA systems use these two protocols.

Item Type:Article
Uncontrolled Keywords:distributed network protocol version 3 (DNP3), IDS SCADA
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:95853
Deposited By: Yanti Mohd Shah
Deposited On:22 Jun 2022 01:39
Last Modified:22 Jun 2022 01:39

Repository Staff Only: item control page