LUCON: Data Flow Control for Message-Based IoT Systems
| Autor: | Julian Schuette, Gerd Stefan Brost |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Semantics (computer science)
Computer science Control (management) 02 engineering and technology Computer security computer.software_genre Security policy Data flow diagram Taint checking 020204 information systems Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Enforcement Personally identifiable information computer |
| Zdroj: | TrustCom/BigDataSE |
| DOI: | 10.1109/trustcom/bigdatase.2018.00052 |
| Popis: | Today's emerging Industrial Internet of Things (IIoT) scenarios are characterized by the exchange of data between services across enterprises. Traditional access and usage control mechanisms are only able to determine if data may be used by a subject, but lack an understanding of how it may be used. The ability to control the way how data is processed is however crucial for enterprises to guarantee (and provide evidence of) compliant processing of critical data, as well as for users who need to control if their private data may be analyzed or linked with additional information - a major concern in IoT applications processing personal information. In this paper, we introduce LUCON, a data-centric security policy framework for distributed systems that considers data flows by controlling how messages may be routed across services and how they are combined and processed. LUCON policies prevent information leaks, bind data usage to obligations, and enforce data flows across services. Policy enforcement is based on a dynamic taint analysis at runtime and an upfront static verification of message routes against policies. We discuss the semantics of these two complementing enforcement models and illustrate how LUCON policies are compiled from a simple policy language into a first-order logic representation. We demonstrate the practical application of LUCON in a real-world IoT middleware and discuss its integration into Apache Camel. Finally, we evaluate the runtime impact of LUCON and discuss performance and scalability aspects. |
| Databáze: | OpenAIRE |
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