A Pattern–Driven Adaptation in IoT Orchestrations to Guarantee SPDI Properties
| Autor: | Lakka Eftychia, Papoutsakis Manos, Petroulakis Nikolaos, Ioannidis Sotiris, Michalodimitrakis Emmanouil, Spanoudakis George, Fysarakis Konstantinos |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Smart objects business.industry Distributed computing Interoperability 020206 networking & telecommunications 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Dependability 020201 artificial intelligence & image processing Orchestration (computing) Adaptation (computer science) Internet of Things business |
| Zdroj: | Lecture Notes in Computer Science Lecture Notes in Computer Science-Model-driven Simulation and Training Environments for Cybersecurity Model-driven Simulation and Training Environments for Cybersecurity ISBN: 9783030624323 MSTEC |
| ISSN: | 0302-9743 1611-3349 |
| DOI: | 10.1007/978-3-030-62433-0_9 |
| Popis: | The orchestration of heterogeneous IoT devices to enable the provision of IoT applications and services poses numerous challenges, especially in contexts where end-to-end security and privacy guarantees are needed. To tackle these challenges, this paper presents a pattern–driven approach for interacting with IoT systems, whereby the required properties are guaranteed. Patterns are leveraged to represent the relationship between security, privacy, dependability and interoperability (SPDI) properties of specific smart objects and corresponding properties of orchestrations that include said objects. In this way, patterns allow the verification that certain SPDI properties hold for an IoT orchestration, while also enabling the adaptation of IoT orchestrations in ways that allow the given properties to hold. |
| Databáze: | OpenAIRE |
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