Autonomic Computing Architecture for SCADA Cyber Security

Shushma Patel

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Cognitive computing relates to intelligent computing platforms that are based on the disciplines of artificial intelligence, machine learning, and other innovative technologies. These technologies can be used to design systems that mimic the human brain to learn about their environment and can autonomously predict an impending anomalous situation. IBM first used the term ‘Autonomic Computing’ in 2001 to combat the looming complexity crisis (Ganek and Corbi, 2003). The concept has been inspired by the human biological autonomic system. An autonomic system is self-healing, self-regulating, self-optimising and self-protecting (Ganek and Corbi, 2003). Therefore, the system should be able to protect itself against both malicious attacks and unintended mistakes by the operator.
Original languageEnglish
JournalInternational Journal of Cognitive Informatics and Natural Intelligence
DOIs
Publication statusPublished - 1 Oct 2017
Externally publishedYes

Keywords

  • SCADA Systems
  • Cyber Security
  • Artificial Intelligence And Image Processing
  • Cognitive Science
  • Autonomic Computing
  • Cognitive Computing

Fingerprint

Dive into the research topics of 'Autonomic Computing Architecture for SCADA Cyber Security'. Together they form a unique fingerprint.

Cite this