Confidentiality-Preserving Publish/Subscribe

Abstract

Publish/subscribe (pub/sub) is an attractive communication paradigm for large-scale distributed applications running across multiple administrative domains. Pub/sub allows event-based information dissemination based on constraints on the nature of the data rather than on pre-established communication channels. It is a natural fit for deployment in untrusted environments such as public clouds linking applications across multiple sites. However, pub/sub in untrusted environments lead to major confidentiality concerns stemming from the content-centric nature of the communications. This survey classifies and analyzes different approaches to confidentiality preservation for pub/sub, from applications of trust and access control models to novel encryption techniques. It provides an overview of the current challenges posed by confidentiality concerns and points to future research directions in this promising field.

Building Energy Modelling and Monitoring by Integration of IoT Devices and Building Information Models

“…Within their research project, Kim et al [22] describe an ICT solution based on a data-centric middleware able to decentralize the monitoring and control, exploiting a publish/subscribe model [23]. The limitation of this solution is the need to provide an additional request/response communication approach.…”

“…• The Message broker provides a data-centred model based on the publish/subscribe approach [23]. Such model increases scalability by decoupling the production and consumption of information.…”

PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems

“…There is a large body of work on confidentiality issues in publish/subscribe systems [27]. PP-CBPS is one of the first attempts to provide support for it [28].…”

Realizing IoT service’s policy privacy over publish/subscribe-based middleware

“…However, most prior research on data confidentiality in publish/subscribe systems mainly focuses on the privacy of either subscription or publisher, there has been little work to support a comprehensive privacy protection of the published event (metadata) and the subscribed event types (Onica et al. 2016). Choi et al (2010) adopted the encrypted matching approach and Wun and Jacobsen (2007) adopted the policy management approach to protect the privacy of the published data and the subscribed data.…”