1 - 4 of 4
ItemPrivacy of the Internet of Things: A Systematic Literature Review( 2017-01-04)The Internet of Things’ potential for major privacy invasion is a concern. This paper reports on a systematic literature review of privacy-preserving solutions appearing in the research literature and in the media. We analysed proposed solutions in terms of the techniques they deployed and the extent to which they satisfied core privacy principles. We found that very few solutions satisfied all core privacy principles. We also identified a number of key knowledge gaps in the course of the analysis. In particular, we found that most solution providers assumed that end users would be willing to expend effort to preserve their privacy; that they would be motivated to take action to ensure that their privacy was respected. The validity of this assumption needs to be proved, since it cannot simply be assumed that people would necessarily be willing to engage with privacy-preserving solutions. We suggest this as a topic for future research.
ItemDesign of Smart Factory Web Services Based on the Industrial Internet of Things( 2017-01-04)The Industrial Internet of Things (IIoT) is cited as the latest means for making manufacturing more flexible, cost effective, and responsive to changes in customer demands. However, a major concern surrounding the IIoT is interoperability between devices and machines that function within different protocols and architectures. This paper presents the Smart Factory Web (SFW), which is based on the IIoT concept of improving factory-to-factory interoperability. The proposed SFW enables secure data and service integration in cross-site application scenarios as well as ‘plug & work’ functions for devices, machines, and data analytics software by applying industrial standards, Open Platform Communications Unified Architecture (OPC UA), and Automation Markup Language (AutomationML). To reach the goal, experimental factories that have heterogeneous manufacturing infrastructures are linked and the SFW is implemented in four phases. The usage scenario, called order-driven adaptive production, used to align capacity across factories, will also be validated in the real deployment.
ItemConTaaS: An Approach to Internet-Scale Contextualisation for Developing Efficient Internet of Things Applications( 2017-01-04)The Internet of Things (IoT) is a new internet evolution that involves connecting billions of sensors and other devices to the Internet. Such IoT devices or IoT things can communicate directly. They also allow Internet users and applications to access and distil their data, control their functions, and harness the information and functionality provided by multiple IoT devices to offer novel smart services. IoT devices collectively generate massive amounts of data with an incredible velocity. Processing IoT device data and distilling high-value information from them presents an Internet-scale computational challenge. Contextualisation of IoT data can help improve the value of information extracted from IoT. However, existing contextualisation techniques can only handle small datasets from a modest number of IoT devices. In this paper, we propose a general-purpose architecture and related techniques for the contextualisation of IoT data. In particular, we introduce a Contextualisation-as-a-Service (ConTaaS) architecture that incorporates scalability improving techniques, as well as a proof-of-concept implementation of all these that utilises elastic cloud-based infrastructure to achieve near real-time contextualisation of IoT data. Experimental evaluations validating the efficiency of ConTaaS are also provided in this paper.