Intelligent Resilience in the IoT

Edel Sherratt

doi:10.1007/978-3-319-68015-6_4

Intelligent Resilience in the IoT

Edel Sherratt

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

3 Citations (Scopus)

Abstract

Failing or hostile elements are normal in the public Internet of Things (IoT). Resilient IoT systems are engineered to fail safely and recover gracefully in the face of the many and varied threats presented by their environment.
Approaches to ensuring resilient behaviour include intrusion detection, redundancy and artificial immune systems. Anomaly-based defence mechanisms are particularly well-suited to systems that are deployed in the public internet.
This paper discusses the use of SDL+ (SDL with MSC and ASN.1) to generate simulation results for training anomaly-based defence mechanisms for smart systems. It outlines an approach based on the SDL+ methodology to create resilient IoT systems.

Original language	English
Title of host publication	SDL 2017: Model-Driven Engineering for Future Internet
Subtitle of host publication	18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings
Editors	Tibor Csöndes, Gábor Kovács, György Réthy
Publisher	Springer Nature
Pages	46-60
Volume	10567
Edition	1
ISBN (Electronic)	9783319680156
ISBN (Print)	9783319680149
DOIs	https://doi.org/10.1007/978-3-319-68015-6_4
Publication status	Published - 07 Sept 2017
Event	SDL 2017: 18th Internation Conference on System Design Languages - Ericsson Office, Conference Center, Building B. Science Park, Irinyi J. u. 4-20, Budapest, Hungary Duration: 09 Oct 2017 → 11 Oct 2017 http://www.sdl2017.hte.hu/home

Publication series

Name	Lecture Notes in Computer Science

Conference

Conference	SDL 2017
Country/Territory	Hungary
City	Budapest
Period	09 Oct 2017 → 11 Oct 2017
Internet address	http://www.sdl2017.hte.hu/home

Keywords

Internet of Things (IoT), Resilience, Anomaly Detection, Machine learning

Access to Document

10.1007/978-3-319-68015-6_4

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Sherratt, E. (2017). Intelligent Resilience in the IoT. In T. Csöndes, G. Kovács, & G. Réthy (Eds.), SDL 2017: Model-Driven Engineering for Future Internet: 18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings (1 ed., Vol. 10567, pp. 46-60). (Lecture Notes in Computer Science). Springer Nature. https://doi.org/10.1007/978-3-319-68015-6_4

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abstract = "Failing or hostile elements are normal in the public Internet of Things (IoT). Resilient IoT systems are engineered to fail safely and recover gracefully in the face of the many and varied threats presented by their environment.Approaches to ensuring resilient behaviour include intrusion detection, redundancy and artificial immune systems. Anomaly-based defence mechanisms are particularly well-suited to systems that are deployed in the public internet.This paper discusses the use of SDL+ (SDL with MSC and ASN.1) to generate simulation results for training anomaly-based defence mechanisms for smart systems. It outlines an approach based on the SDL+ methodology to create resilient IoT systems.",

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Sherratt, E 2017, Intelligent Resilience in the IoT. in T Csöndes, G Kovács & G Réthy (eds), SDL 2017: Model-Driven Engineering for Future Internet: 18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings. 1 edn, vol. 10567, Lecture Notes in Computer Science, Springer Nature, pp. 46-60, SDL 2017, Budapest, Hungary, 09 Oct 2017. https://doi.org/10.1007/978-3-319-68015-6_4

Intelligent Resilience in the IoT. / Sherratt, Edel.
SDL 2017: Model-Driven Engineering for Future Internet: 18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings. ed. / Tibor Csöndes; Gábor Kovács; György Réthy. Vol. 10567 1. ed. Springer Nature, 2017. p. 46-60 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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N2 - Failing or hostile elements are normal in the public Internet of Things (IoT). Resilient IoT systems are engineered to fail safely and recover gracefully in the face of the many and varied threats presented by their environment.Approaches to ensuring resilient behaviour include intrusion detection, redundancy and artificial immune systems. Anomaly-based defence mechanisms are particularly well-suited to systems that are deployed in the public internet.This paper discusses the use of SDL+ (SDL with MSC and ASN.1) to generate simulation results for training anomaly-based defence mechanisms for smart systems. It outlines an approach based on the SDL+ methodology to create resilient IoT systems.

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ER -

Intelligent Resilience in the IoT

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