Data confidentiality and privacy are becoming primary concerns for Internet of Things applications. A variety of access control approaches have been proposed to address this issue. In this demonstration we present a tool, called Mammoth, which complements an ABAC framework for MQTT-based IoT ecosystems, with a dashboard of analysis services designed for security administrators. Mammoth supports the real-time analysis of target MQTT ecosystems, allowing security administrators to analyze the effects of the enforcement mechanisms on the flow of exchanged messages. The demonstration will allow participants to try Mammoth services in a simulated MQTT-based scenario.

Mammoth: Monitoring the ABAC monitor of MQTT-based internet of things ecosystems

Colombo P.;Ferrari E.;Salvia S.
2020-01-01

Abstract

Data confidentiality and privacy are becoming primary concerns for Internet of Things applications. A variety of access control approaches have been proposed to address this issue. In this demonstration we present a tool, called Mammoth, which complements an ABAC framework for MQTT-based IoT ecosystems, with a dashboard of analysis services designed for security administrators. Mammoth supports the real-time analysis of target MQTT ecosystems, allowing security administrators to analyze the effects of the enforcement mechanisms on the flow of exchanged messages. The demonstration will allow participants to try Mammoth services in a simulated MQTT-based scenario.
2020
Proceedings of ACM Symposium on Access Control Models and Technologies, SACMAT
9781450375689
25th ACM Symposium on Access Control Models and Technologies, SACMAT 2020
esp
2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2095699
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