50 resultados para Internet of things, Mqtt, domotica, Raspberry Pi

em Deakin Research Online - Australia


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Radio-frequency identification (RFID) is seen as one of the requirements for the implementation of the Internet-of-Things (IoT). However, an RFID system has to be equipped with a holistic security framework for a secure and scalable operation. Although much work has been done to provide privacy and anonymity, little focus has been given to performance, scalability and customizability issues to support robust implementation of IoT. Also, existing protocols suffer from a number of deficiencies such as insecure or inefficient identification techniques, throughput delay and inadaptability. In this paper, we propose a novel identification technique based on a hybrid approach (group-based approach and collaborative approach) and security check handoff (SCH) for RFID systems with mobility. The proposed protocol provides customizability and adaptability as well as ensuring the secure and scalable deployment of an RFID system to support a robust distributed structure such as the IoT. The protocol has an extra fold of protection against malware using an incorporated malware detection technique. We evaluated the protocol using a randomness battery test and the results show that the protocol offers better security, scalability and customizability than the existing protocols. © 2014 Elsevier B.V. All rights reserved.

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Mobile Health (mHealth) is now emerging with Internet of Things (IoT), Cloud and big data along with the prevalence of smart wearable devices and sensors. There is also the emergence of smart environments such as smart homes, cars, highways, cities, factories and grids. Presently, it is difficult to quickly forecast or prevent urgent health situations in real-time as health data are analyzed offline by a physician. Sensors are expected to be overloaded by demands of providing health data from IoT networks and smart environments. This paper proposes to resolve the problems by introducing an inference system so that life-threatening situations can be prevented in advance based on a short and long term health status prediction. This prediction is inferred from personal health information that is built by big data in Cloud. The inference system can also resolve the problem of data overload in sensor nodes by reducing data volume and frequency to reduce workload in sensor nodes. This paper presents a novel idea of tracking down and predicting a personal health status as well as intelligent functionality of inference in sensor nodes to interface IoT networks

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Today, Cloud Computing and the Internet of things are two "major forces" that drive the development of new Information Technology (IT) solutions. Many Internet of things (IoT) based large-scale applications rely on a cloud platform for data processing and storage. However, big data generated or collected by large-scale geo-distributed devices needs to be transferred to the cloud, often becoming a bottleneck for the system. In this paper, we propose a framework that integrates popular cloud services with a network of loT devices. In the framework, novel methods have been designed for reliable and efficient data transportation. This framework provides a convergence of cloud services and devices that will ease the development of loT based, cloud-enabled applications. We have implemented a prototype of the framework to demonstrate the convergence of popular cloud services and IoT technologies.

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Smartphone technology has become more popular and innovative over the last few years, and technology companies are now introducing wearable devices into the market. By emerging and converging with technologies such as Cloud, Internet of Things (IoT) and Virtualization, requirements to personal sensor devices are immense and essential to support existing networks, e.g. mobile health (mHealth) as well as IoT users. Traditional physiological and biological medical sensors in mHealth provide health data either periodically or on-demand. Both of these situations can cause rapid battery consumption, consume significant bandwidth, and raise privacy issues, because these sensors do not consider or understand sensor status when converged together. The aim of this research is to provide a novel approach and solution to managing and controlling personal sensors that can be used in various areas such as the health, military, aged care, IoT and sport. This paper presents an inference system to transfer health data collected by personal sensors efficiently and effectively to other networks in a secure and effective manner without burdening workload on sensor devices.

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In this paper, we propose a secure object tracking protocol to ensure the visibility and traceability of an object along the travel path to support the Internet of Things (IoT). The proposed protocol is based on radio frequency identification system for global unique identification of IoT objects. For ensuring secure object tracking, lightweight cryptographic primitives and physically unclonable function are used by the proposed protocol in tags. We evaluated the proposed protocol both quantitatively and qualitatively. In our experiment, we modeled the protocol using security protocol description language (SPDL) and simulated SPDL model using automated claim verification tool Scyther. The results show that the proposed protocol is more secure and requires less computation compared to existing similar protocols.

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This study was conducted to protect security of human beings and businesses from intruders in the context of IoT which is next generation internet. We have developed a universal framework and a number of communication protocols to provide security that will make IoT cyber world safer for all t users.

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This paper is written through the vision on integrating Internet-of-Things (IoT) with the power of Cloud Computing and the intelligence of Big Data analytics. But integration of all these three cutting edge technologies is complex to understand. In this research we first provide a security centric view of three layered approach for understanding the technology, gaps and security issues. Then with a series of lab experiments on different hardware, we have collected performance data from all these three layers, combined these data together and finally applied modern machine learning algorithms to distinguish 18 different activities and cyber-attacks. From our experiments we find classification algorithm RandomForest can identify 93.9% attacks and activities in this complex environment. From the existing literature, no one has ever attempted similar experiment for cyber-attack detection for IoT neither with performance data nor with a three layered approach.

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With the emergence of Internet-of-Things (IoT), there is now growing interest to simplify wireless network controls. This is a very challenging task, comprising information acquisition, information analysis, decision-making, and action implementation on large scale IoT networks. Resulting in research to explore the integration of software-defined networking (SDN) and IoT for a simpler, easier, and strain less network control. SDN is a promising novel paradigm shift which has the capability to enable a simplified and robust programmable wireless network serving an array of physical objects and applications. This paper starts with the emergence of SDN and then highlights recent significant developments in the wireless and optical domains with the aim of integrating SDN and IoT. Challenges in SDN and IoT integration are also discussed from both security and scalability perspectives.

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As part of a retrospective study of effects of organizational change on interpersonal relations, this paper discusses change talk among Australian employees of an American multinational manufacturing enterprise. Interviewees tended to feel pushed into change, discussing its effects in terms of the difficulties of adolescence and earlier experiences of sudden independence. Over time, what had been a simple and firm us and them division in intergroup relations between management and unions/workers had become more fluid and subtle, and perhaps more mature. Interview data are interpreted and then re-interpreted in terms of theories of team development, nostalgia, and paternalism. It is argued that each interpretation makes differing, but complementary, assumptions about the nature of time. If developmental, progressive assumptions of organizational change are relaxed, further attention can be given to theorizing and researching subtleties in talk of the past.

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This paper is an account of teacher educator perceptions of the take-up by beginning teachers of the values and practices advocated in pre-service education. Methodologically grounded in a critical ethnographic account, two teacher educator/researchers retell their understanding of the one-month experience as middle school classroom teachers in an allocated school. The paper examines the consequences of what counts as professional knowledge in the eyes of pre-service and beginning teachers and the implications of the encounter for the role of teacher educators in preservice preparation. The purpose of the research is to consider the well-researched issue of the rejection of academic training (to greater or lesser extents) that is experienced by very many preservice and beginning teachers at some stage after experience in schools. As an exemplary colleague teacher said to us as we negotiated our participation in the school: "I do lots of things that the University would not approve of". Our argument is that teacher education needs the kind of participatory inquiry represented by the undertaking and methodology of this project. The paper is the 'primary record' (Carspecken 1996) of the research and works to open the next phase, the dialogical stage of the research process.

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This paper highlights the experience of social and physical place as experienced by
students at aTAFE (Technical and Further Education) college in Victoria, Australia, and TAFE diploma graduates who transitioned to a degree course at a university in Victoria, Australia.

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 This chapter tracks the creation of Back to Back Theatre’s 2011 performance, Ganesh Versus the Third Reich, based on first-hand observation of the final stages in devising and refining the work. Ganesh traces two parallel narrative strands – that of an imagined journey of the Hindu God into the dark heart of Nazi Germany to reclaim the sacred Hindu symbol of the swastika, and the narrative which constantly threatens to engulf the Ganesh story – the fraught relations between a group of disabled artists and their non-disabled director as they negotiate the process of making the work.

The focus of this chapter is the development of a single scene from the performance work, Ganesh Versus the Third Reich, tracing it’s evolution through periods of creative development and rehearsal. The stark contrast between the working practices observed on the studio floor and the brutally knowing and parodic representation of power relations in rehearsal seen in the performance work testifies to the peculiar and productive self-reflexivity that generates the work of Back To Back Theatre. An account and analysis of both real and fictional rehearsals reveal how Back to Back’s creative processes position members of the ensemble “perceived to have intellectual disabilities” as entirely legitimate professional artists, while claiming the authority of ‘outsider artists’ to challenge perceptions and representations of disability.

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Combining the Semantic Web and the Ubiquitous Web, Web 3.0 is for things. The Semantic Web enables human knowledge to be machine-readable and the Ubiquitous Web allows Web services to serve any thing, forming a bridge between the virtual world and the real world. By using context, Web services can become smarter-that is, aware of the target things' or applications' physical environments, or situations and respond proactively and intelligently. Existing methods for implementing context-aware Web services on Web 2.0 mainly enumerate different implementations corresponding to different attribute values of the context, in order to improve the Quality of Services (QoS). However, things in the physical world are extremely diverse, which poses new problems for Web services: it is difficult to unify the context of things and to implement a flexible smart Web service for things. This article proposes a novel smart Web service based on the context of things, which is implemented using a REpresentational State Transfer for Things (Thing-REST) style, to tackle the two problems. In a smart Web service, the user's description (semantic context) and sensor reports (sensing context) are two channels for acquiring the context of things which are then employed by ontology services to make the context of things machine-readable. With guidance of domain knowledge services, event detection services can analyze things' needs particularly, well through the context of things. We then propose a Thing-REST style to manage the context of things and user context, and to mashup Web services through three structures (i.e., chain, select, and merge) to implement smart Web services. A smart plant watering-service application demonstrates the effectiveness of our method. © 2012 ACM.