Enhancing Transparency of MQTT Brokers For IoT Applications Through Provenance Streams

Milan Markovic, P. Edwards
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引用次数: 3

Abstract

Systems based on Internet of Things (IoT) technologies may violate user privacy if personal data they produce and use become available to unauthorised agents. Recording provenance of IoT system behaviour may support assessment mechanisms ensuring compliance of system components with data access constraints. In this paper, we describe a prototype implementation of a provenance-enabled MQTT broker enhanced with the ability to generate provenance records describing the actual broker behaviour during message forwarding. The implementation utilises a semantic stream based approach for generating and analysing provenance data to discover message forwarding to untrusted agents. The initial evaluation demonstrates the feasibility of semantic solutions in this context.
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通过来源流增强物联网应用的MQTT代理的透明度
如果基于物联网(IoT)技术的系统产生和使用的个人数据被未经授权的代理获取,则可能侵犯用户隐私。记录物联网系统行为的来源可以支持评估机制,确保系统组件符合数据访问约束。在本文中,我们描述了一个支持来源的MQTT代理的原型实现,该代理增强了生成来源记录的能力,这些记录描述了消息转发期间的实际代理行为。该实现利用基于语义流的方法来生成和分析来源数据,以发现向不受信任的代理转发的消息。初步评估证明了语义解决方案在这种情况下的可行性。
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Automatic Translation of Spatio-Temporal Logics to Streaming-Based Monitoring Applications for IoT-Equipped Autonomous Agents A Development Environment for FIWARE-based Internet of Things Applications Enhancing Transparency of MQTT Brokers For IoT Applications Through Provenance Streams Untangling the Physical-Digital Knot When Designing Advanced IoT Ecosystems Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things
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