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.
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 |
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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 | |
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 |
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Conference
Conference | SDL 2017 |
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Country/Territory | Hungary |
City | Budapest |
Period | 09 Oct 2017 → 11 Oct 2017 |
Internet address |
Keywords
- Internet of Things (IoT), Resilience, Anomaly Detection, Machine learning