{"title":"通过来源流增强物联网应用的MQTT代理的透明度","authors":"Milan Markovic, P. Edwards","doi":"10.1145/3366610.3368099","DOIUrl":null,"url":null,"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.","PeriodicalId":246497,"journal":{"name":"Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enhancing Transparency of MQTT Brokers For IoT Applications Through Provenance Streams\",\"authors\":\"Milan Markovic, P. Edwards\",\"doi\":\"10.1145/3366610.3368099\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":246497,\"journal\":{\"name\":\"Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3366610.3368099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Workshop on Middleware and Applications for the Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366610.3368099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing Transparency of MQTT Brokers For IoT Applications Through Provenance Streams
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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