Intelligent Resilience in the IoT

Edel Sherratt

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

Intelligent Resilience in the IoT

Edel Sherratt

Adran Cyfrifiadureg

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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.

Iaith wreiddiol	Saesneg
Teitl	SDL 2017: Model-Driven Engineering for Future Internet
Is-deitl	18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings
Golygyddion	Tibor Csöndes, Gábor Kovács, György Réthy
Cyhoeddwr	Springer Nature
Tudalennau	46-60
Cyfrol	10567
Argraffiad	1
ISBN (Electronig)	9783319680156
ISBN (Argraffiad)	9783319680149
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1007/978-3-319-68015-6_4
Statws	Cyhoeddwyd - 07 Medi 2017
Digwyddiad	SDL 2017: 18th Internation Conference on System Design Languages - Ericsson Office, Conference Center, Building B. Science Park, Irinyi J. u. 4-20, Budapest, Hwngari Hyd: 09 Hyd 2017 → 11 Hyd 2017 http://www.sdl2017.hte.hu/home

Cyfres gyhoeddiadau

Enw	Lecture Notes in Computer Science

Cynhadledd

Cynhadledd	SDL 2017
Gwlad/Tiriogaeth	Hwngari
Dinas	Budapest
Cyfnod	09 Hyd 2017 → 11 Hyd 2017
Cyfeiriad rhyngrwyd	http://www.sdl2017.hte.hu/home

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

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

@inproceedings{c63e0c83230d49f8906c4fee070ddbef,

title = "Intelligent Resilience in the IoT",

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.",

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

author = "Edel Sherratt",

year = "2017",

month = sep,

day = "7",

doi = "10.1007/978-3-319-68015-6_4",

language = "English",

isbn = "9783319680149",

volume = "10567",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature",

pages = "46--60",

editor = "Tibor Cs{\"o}ndes and G{\'a}bor Kov{\'a}cs and Gy{\"o}rgy R{\'e}thy",

booktitle = "SDL 2017: Model-Driven Engineering for Future Internet",

address = "Switzerland",

edition = "1",

note = "SDL 2017 : 18th Internation Conference on System Design Languages ; Conference date: 09-10-2017 Through 11-10-2017",

url = "http://www.sdl2017.hte.hu/home",

}

Sherratt, E 2017, Intelligent Resilience in the IoT. yn T Csöndes, G Kovács & G Réthy (gol.), SDL 2017: Model-Driven Engineering for Future Internet: 18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings. 1 gol., cyfrol. 10567, Lecture Notes in Computer Science, Springer Nature, tt. 46-60, SDL 2017, Budapest, Hwngari, 09 Hyd 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. gol. / Tibor Csöndes; Gábor Kovács; György Réthy. Cyfrol 10567 1. gol. Springer Nature, 2017. t. 46-60 (Lecture Notes in Computer Science).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

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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.

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

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Intelligent Resilience in the IoT

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