Abstract
| Original language | English |
|---|---|
| Journal | International Journal of Cognitive Informatics and Natural Intelligence |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 31 Dec 2017 |
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Keywords
- computer architecture
- cyber security
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Autonomic computing architecture for SCADA cyber security. / Nazir, Sajid; Patel, Shushma; Patel, Dilip.
In: International Journal of Cognitive Informatics and Natural Intelligence, Vol. 11, No. 4, 31.12.2017.Research output: Contribution to journal › Article
TY - JOUR
T1 - Autonomic computing architecture for SCADA cyber security
AU - Nazir, Sajid
AU - Patel, Shushma
AU - Patel, Dilip
N1 - Acceptance in SAN Publisher policy permits VoR, not AAM Library exceptions review Oct18: Following exceptions changes (REF doc July 2018) sought further information from author. Confirmed deposit exception 3 new version applies as not on CatA at submission stage - author email in SAN. Pub date: used last date in the month provided. ET 29/7/19
PY - 2017/12/31
Y1 - 2017/12/31
N2 - Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation networks, large manufacturing, business and health facilities, power generation, and distribution networks. The SCADA systems have evolved into a complex, highly connected system requiring high availability. On the other hand, cyber threats to these infrastructures have increasingly become more sophisticated, extensive and numerous. This highlights the need for newer measures that can proactively and autonomously react to an impending threat. This article proposes a SCADA system framework to leverage autonomic computing elements in the architecture for coping with the current challenges and threats of cyber security.
AB - Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation networks, large manufacturing, business and health facilities, power generation, and distribution networks. The SCADA systems have evolved into a complex, highly connected system requiring high availability. On the other hand, cyber threats to these infrastructures have increasingly become more sophisticated, extensive and numerous. This highlights the need for newer measures that can proactively and autonomously react to an impending threat. This article proposes a SCADA system framework to leverage autonomic computing elements in the architecture for coping with the current challenges and threats of cyber security.
KW - computer architecture
KW - cyber security
U2 - 10.4018/IJCINI.2017100104
DO - 10.4018/IJCINI.2017100104
M3 - Article
VL - 11
JO - International Journal of Cognitive Informatics and Natural Intelligence
JF - International Journal of Cognitive Informatics and Natural Intelligence
SN - 1557-3958
IS - 4
ER -