Intelligent Resilience in the IoT

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

2 Citations (SciVal)


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 languageEnglish
Title of host publicationSDL 2017: Model-Driven Engineering for Future Internet
Subtitle of host publication18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings
EditorsTibor Csöndes, Gábor Kovács, György Réthy
PublisherSpringer Nature
ISBN (Electronic)9783319680156
ISBN (Print)9783319680149
Publication statusPublished - 07 Sept 2017
EventSDL 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 201711 Oct 2017

Publication series

NameLecture Notes in Computer Science


ConferenceSDL 2017
Period09 Oct 201711 Oct 2017
Internet address


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


Dive into the research topics of 'Intelligent Resilience in the IoT'. Together they form a unique fingerprint.

Cite this