Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems

Supervisory control and data acquisition (SCADA) system is a computer based system implemented to control the physical processes which enhances the operational efficiency, cost reduction and energy consumption. It supervises physical process by collecting data from sensors and performs monitoring, d...

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Main Authors:	Mubarak, Sinil, Habaebi, Mohamed Hadi, Abdul Rahman, Farah Diyana, Khan, Sheroz, Islam, Md. Rafiqul
Format:	Article
Language:	English
Published:	Institute of Advanced Scientific Research 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/71214/ http://irep.iium.edu.my/71214/ http://irep.iium.edu.my/71214/1/71214_Cyber%20Attacks%20Analysis%20and%20Mitigation.pdf

id	iium-71214
recordtype	eprints
spelling	iium-712142019-07-16T10:15:48Z http://irep.iium.edu.my/71214/ Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems Mubarak, Sinil Habaebi, Mohamed Hadi Abdul Rahman, Farah Diyana Khan, Sheroz Islam, Md. Rafiqul TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Supervisory control and data acquisition (SCADA) system is a computer based system implemented to control the physical processes which enhances the operational efficiency, cost reduction and energy consumption. It supervises physical process by collecting data from sensors and performs monitoring, data logging, alarm and diagnostic functions. The advancement in technology for connectivity in communication protocols has resulted the system to be more vulnerable to cyber-attacks. The classifications of various attacks along with the intrusions detection methods have been highlighted. Mitigation techniques such as honeypot simulation which helps in vulnerability assessment, along with machine learning algorithms, suitable for intrusion detection and prevention of cyber-attacks in SCADA systems has been detailed. Institute of Advanced Scientific Research 2019-04-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/71214/1/71214_Cyber%20Attacks%20Analysis%20and%20Mitigation.pdf Mubarak, Sinil and Habaebi, Mohamed Hadi and Abdul Rahman, Farah Diyana and Khan, Sheroz and Islam, Md. Rafiqul (2019) Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems. Journal of Advanced Research in Dynamical and Control Systems, 11 (1). pp. 180-188. ISSN 1943-023X http://www.jardcs.org/abstract.php?id=23
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Mubarak, Sinil Habaebi, Mohamed Hadi Abdul Rahman, Farah Diyana Khan, Sheroz Islam, Md. Rafiqul Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
description	Supervisory control and data acquisition (SCADA) system is a computer based system implemented to control the physical processes which enhances the operational efficiency, cost reduction and energy consumption. It supervises physical process by collecting data from sensors and performs monitoring, data logging, alarm and diagnostic functions. The advancement in technology for connectivity in communication protocols has resulted the system to be more vulnerable to cyber-attacks. The classifications of various attacks along with the intrusions detection methods have been highlighted. Mitigation techniques such as honeypot simulation which helps in vulnerability assessment, along with machine learning algorithms, suitable for intrusion detection and prevention of cyber-attacks in SCADA systems has been detailed.
format	Article
author	Mubarak, Sinil Habaebi, Mohamed Hadi Abdul Rahman, Farah Diyana Khan, Sheroz Islam, Md. Rafiqul
author_facet	Mubarak, Sinil Habaebi, Mohamed Hadi Abdul Rahman, Farah Diyana Khan, Sheroz Islam, Md. Rafiqul
author_sort	Mubarak, Sinil
title	Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
title_short	Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
title_full	Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
title_fullStr	Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
title_full_unstemmed	Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
title_sort	cyber attacks analysis and mitigation with machine learning techniques in ics scada systems
publisher	Institute of Advanced Scientific Research
publishDate	2019
url	http://irep.iium.edu.my/71214/ http://irep.iium.edu.my/71214/ http://irep.iium.edu.my/71214/1/71214_Cyber%20Attacks%20Analysis%20and%20Mitigation.pdf
first_indexed	2023-09-18T21:41:06Z
last_indexed	2023-09-18T21:41:06Z
_version_	1777413145004867584

Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems

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