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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04122naa a2200661 4500 | |
| 001 | oai:DiVA.org:kau-76483 | |
| 003 | SwePub | |
| 008 | 200123s2020 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-764832 URI |
| 024 | 7 | a https://doi.org/10.1016/j.cose.2019.1016772 DOI |
| 040 | a (SwePub)kau | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Bhamare, Devalu Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)4 aut0 (Swepub:kau)devabham |
| 245 | 1 0 | a Cybersecurity for industrial control systems :b A survey |
| 264 | 1 | b Elsevier,c 2020 |
| 338 | a print2 rdacarrier | |
| 520 | a Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic controllers (PLC). ICSs are often found in the industrial sectors and critical infrastructures, such as nuclear and thermal plants, water treatment facilities, power generation, heavy industries, and distribution systems. Though ICSs were kept isolated from the Internet for so long, significant achievable business benefits are driving a convergence between ICSs and the Internet as well as information technology (IT) environments, such as cloud computing. As a result, ICSs have been exposed to the attack vectors used in the majority of cyber-attacks. However, ICS devices are inherently much less secure against such advanced attack scenarios. A compromise to ICS can lead to enormous physical damage and danger to human lives. In this work, we have a close look at the shift of the ICS from stand-alone systems to cloud-based environments. Then we discuss the major works, from industry and academia towards the development of the secure ICSs, especially applicability of the machine learning techniques for the ICS cyber-security. The work may help to address the challenges of securing industrial processes, particularly while migrating them to the cloud environments. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
| 653 | a Cloud computing | |
| 653 | a Cybersecurity | |
| 653 | a Industrial control system | |
| 653 | a Intrusion detection system | |
| 653 | a Machine learning | |
| 653 | a Computation theory | |
| 653 | a Computer crime | |
| 653 | a Distributed parameter control systems | |
| 653 | a Industrial plants | |
| 653 | a Intrusion detection | |
| 653 | a Learning systems | |
| 653 | a Man machine systems | |
| 653 | a Network security | |
| 653 | a Programmable logic controllers | |
| 653 | a SCADA systems | |
| 653 | a Cyber security | |
| 653 | a Distribution systems | |
| 653 | a Industrial control systems | |
| 653 | a Intrusion Detection Systems | |
| 653 | a Machine learning techniques | |
| 653 | a Programmable logic controllers (PLC) | |
| 653 | a System configurations | |
| 653 | a Water treatment facilities | |
| 653 | a Industrial water treatment | |
| 653 | a Computer Science | |
| 653 | a Datavetenskap | |
| 700 | 1 | a Zolanvari, M.u Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63110 USA4 aut |
| 700 | 1 | a Erbad, A.u Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar4 aut |
| 700 | 1 | a Jain, R.u Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63110 USA4 aut |
| 700 | 1 | a Khan, K.u Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar4 aut |
| 700 | 1 | a Meskin, N.u Qatar Univ, Dept Elect Engn, Doha, Qatar4 aut |
| 710 | 2 | a Karlstads universitetb Institutionen för matematik och datavetenskap (from 2013)4 org |
| 773 | 0 | t Computers & security (Print)d : Elsevierg 89q 89x 0167-4048x 1872-6208 |
| 856 | 4 | u http://arxiv.org/pdf/2002.04124 |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-76483 |
| 856 | 4 8 | u https://doi.org/10.1016/j.cose.2019.101677 |
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