Towards Cyberphysical Digital Libraries: Integrating IoT Smart Objects into Digital Libraries

This paper proposes a novel discovery framework for smart objects in the Internet of Things IoT. The discovery service is a fundamental block of the IoT as it allows smart objects and their users to dynamically discover distributed smart objects and, specifically, the services and operations they provide. The proposed framework defines a new metadata model to describe features, services, and operations of network-enabled smart objects, and implements a service-oriented service, accessible through a REST interface, for registering, indexing, and searching smart objects. Thanks to its generic architecture and the use of open Web standards, the proposed discovery service can be easily integrated into any smart object middleware. In particular, we show its integration into an agent-based middleware supported by the JADE platform.

A case study on migrating large digital collections into a consolidated repository

Objetivo: Este estudo objetivou identificar as variveis determinantes para adoo de Objetos Inteligentes com atributos da Internet das Coisas, por parte de consumidores no contexto brasileiro.Mtodo: Para tanto, foram apresentados os conceitos e definies de Internet das Coisas e Objetos Inteligentes e identificadas as variveis que podem influenciar a adoo deste tipo de tecnologia de acordo com referencial terico, a saber: utilidade percebida, facilidade de uso, prazer percebido, influncia social, confiana, controle comportamental percebido e custo, valendo-se de pesquisa quantitativa, com uma amostra de 208 pessoas e anlise dos dados realizada atravs de Modelagem de Equaes Estruturais.Originalidade / relevncia: possvel verificar que existem poucos estudos sobre a Internet das Coisas e sua influncia sobre os consumidores brasileiros, embora o tema venha sendo discutido em diversos fruns de tecnologia no pas o que denota a importncia da presente pesquisa para consolidao do conhecimento sobre o tema.Resultados: Atravs desta pesquisa, verificou-se que as variveis determinantes para adoo de Objetos Inteligentes na amostra estudada so: custo e controle comportamental.Contribuies teriocas/metodolgicas: Tal resultado colabora para o enrequecimento do campo de conhecimento do comportamento do consumidor em um novo contexto tecnolgico, e permite a replicao do modelo terico utilizado em outros contextos.Contribuies sociais/para a gesto: Contribui tambm para criao de estratgias mercadolgicas mais assertivas considerando as preferencias do consumidor brasileiro no que diz respeito ao custo e ao senso de controle sobre os Objetos Inteligentes.

In recent times, a massive amount of smart devices or objects are connected that enhances the scale of the digital world. These smart objects are referred as “things” or physical devices that have the potential to sense the real-world physical objects, collect the data, and network with others. The objects are connected through the internet, which crafts the terminology of Internet of Things (IoT). IoT has been developed and become the center of consideration due to the novelty of embedded device and a rapid enhancement in its number. This increase is resulting in the creative applications of smart environments. Smart transportation is a central stake for the quality of life of citizens in smart environment. Smart transportation involves the use of devices and sensors in the control system of vehicle; for example navigation system of cars, traffic signal management system, number recognition system and speed monitoring system. In this research article, we propose architecture for smart transportation system using Big Data analytics, in order to achieve real time processing and facilitate a friendly communication in the environment of IoT based smart transportation. The proposed architecture is a 3-phase scheme which is responsible for the organization and management of Big Data, real-time processing of Big Data and service management. The proposed architecture is a generic solution for the smart transportation planning using real time Big Data processing. The proposed scheme is realized using Spark over single node Hadoop setup with various input libraries. A huge amount of data from different authentic and reliable sources is measured to validate the proposed architecture. In addition, the effectiveness of proposed scheme also highlighted with regard to throughput.

Since the Internet of Things (IoT) will be entwined with everything we use in our daily life, the consequence of security flaws escalates. Smart objects will govern most of the home appliances and car engines yielding potential disaster scenarios. In this context, successful attacks could lead to chaos and scary scenarios (www.darkreading.com). Unprotected personal information may expose sensitive and embarrassing data to the public and attacks may threaten not only our computers and smart devices, but our intimacy and perhaps our lives too. Because persons and objects will be bonded with each other, user consent becomes critical. Therefore, thing, object, and user Identity will be the focus of future IoT security solutions, yielding a Trust, Security, and Privacy (TSP) paradigm, which may constitute the Achilles' heel of IoT. While security issues are quite straightforward, mainly from background knowledge, privacy issues are far more complex. Privacy constitutes a rather challenging task, even for the m...

This paper is a survey about the uprising of the Internet of Things (IoT) technologies, their evolution, their variety of the application domains of the IoT systems, which includes, but not limits to healthcare domain, smart cities, smart objects, integration of smart sensors, smart home appliances control, etc. and all the technology revolution that this evolution implies and forces to happen. The IoT system's revolution and fast-phased evolution will create and/or cause positive effects in the whole society and technology, like in the case when the IoT domain is redesigning the applied modern healthcare systems, promising and later offering technological, economic, and social benefits. This paper also reviews the state-of-the-art network architectures/platforms employed in the IoT systems, presents different applications, and also the future trends. IoT security and privacy features, including security requirements will be also discussed and presented. Ambient intelligence, and wearables can be leveraged in the IoT healthcare context, sensors are also becoming ubiquitous and very important in everyday life and also generates data at an unprecedented, unseen rate and scale. This article focuses on the current/existing trends in the domain of IoT and on the current stage of development of research for hardware and software solutions, possible future communication capabilities between human beings and machines, and any new technologies that will employ IoT. Future researches on IoT-based systems are based on a set of open issues and challenges; also, there is the vital step from current "Big Data" to "Big Information" that can be improved and faster created with the help and implication of the current and future IoT systems/setups. With the proliferation of IoT, humans will be able to interact with machines/computers and also control a variety of networked electronic devices, including sensors and actuators. Also, the emergence and evolution of wearable Brain-Machine Interfaces (BMIs), employing directly Electroencephalographyc (EEG) signals, can be a key catalyser of this interaction and evolution of IoT. As smart home appliances, smart sensors, smart glasses and wearable EEG/EMG headsets and any other smart objects are appearing in our lives every day, all of them connected or being a member of the IoT systems, it is important to be able to foresee what is lying ahead of us, as a society in view of the fact that their number grows every day. As the gathered data is growing each day, the computation power from the available IoT devices and infrastructure are becoming more important and more utilized.

The chapter presents a service-oriented framework designed to support indexing, discovery and selection of network-enabled Smart objects. The framework allows the dynamical discovery of distributed Smart objects and, specifically, the services and operations they provide. To this end, a new metadata model has been defined to describe features, services, and operations of network-enabled Smart objects, and a service-oriented service, accessible through a REST interface, has been implemented for registering, searching and selecting Smart objects on the basis of application needs. The chapter describes the metadata model, the framework architecture and implementation, and the programming APIs.KeywordsDiscovery ServiceSmart ObjectMetadata ModelClient InterfaceApache TomcatThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

With the development of embedded devices and in-depth research and extensive application of networking technology, smart objects and types, increasing the number of networking devices continue to be popular in the people's daily lives. Development of digital and network technologies enables the controller node, sensor nodes, radio frequency identification, and household appliances such as television, air-conditioning equipment can use the Internet protocol, wireless communication protocol to achieve information transmission and exchange. Things technology triggered a new wave of the information industry, and unlimited commercial value. Things study based on real significance of architecture and key technologies of Web applications is very important. Introduction With the popularity of Internet technology and embedded devices deployed a large number of research and development, make the amount and type of smart objects are in constant growth, equipment and systems in use in people's everyday life is becoming more and more popular. The evolution of network technology, also makes the sensor nodes, the controller node, RFID, and some electrical appliances (TV, alarm clock, acoustics, air conditioning, etc.) through wireless communication protocol and the Internet network interconnection and information exchange. The digital and networked intelligent devices are widely used in smart home, intelligent logistics, intelligent transportation and intelligent agriculture and other fields, has a huge commercial value. The Internet of things is, as it were, following computer, Internet and mobile communications technology triggered a wave of information industry of core areas, the developed countries to carry out the layout in the field of Internet of things. With the Internet of Things to promote research and development and deployment of technology and a lot of embedded devices, the number and type of smart objects in the growing networking equipment and systems used in people's daily lives are becoming increasingly popular. Situation of Things application development but due Things equipment, high coupling and poor scalability issues, divisive, the threshold is high, long development cycle [1]. According to the background and problems, we propose a Web services environment (WoTSE). Its core idea is a variety of equipment resources seamless access to the Internet of Things, in the form of Web pages open, so the integration of heterogeneous networking equipment, reduce application development difficulty and networking technology, while ensuring that the system of distributed Features loose coupling and large-scale deployment [2]. The technology architecture of Internet of things Internet of things have full perception, reliable transmission and can only process characteristics. Due to the integration of many things now appear in the latest technology, so I do not like the Internet, by the International Organization for Standardization clear hierarchy model. But the Internet also has its own hierarchy, the Internet is recognized technical architecture is divided into three layers, top to bottom are things perception layer, the network layer of the Internet of things application layer [3-4], as shown in Figure 1.

The first part of this issue features four papers that discuss advanced management techniques for Smart Objects. The socalled Internet of Things (IoT) is one of the cornerstones of the Future Internet. One illustrative example of the relevance of IoT in future network development is its growing adoption within the smart city paradigm, as a means to provide enhanced citizen services. In this sense, basic IoT technology is no longer at the purely academic research level, but is starting to be integrated to the the fabric of our daily activities. One of the elements that are required to support the successful deployment of this type of architectures is having the appropriate management mechanisms in place. The call for papers for this special issue was a result of a dedicated workshop on the management of smart objects. The workshop was collocated with the 4th International Conference on Mobile Networks and Management (MONAMI 2012), which was organized in close collaboration with the Technical University of Hamburg in September 2012 (see www.mon-ami.org/2012). The four papers which were accepted for publication in this special issue deal with management architecture alternatives, service development frameworks, security challenges, and the role that contextual information has in the Internet of Things. All in all, they provide a comprehensive outlook on some of the problems that need to be addressed for this type of deployments. It is worth highlighting that three of the works do really exemplify the need of real deployments and employ implementation over existing technologies to assess the feasibility of their proposed architectures, frameworks and techniques. In the first paper, JaeSeung Song et al. review some of the architectural choices for M2M networks. They start from the challenges that need to be addressed and discuss how the various standardization bodies (for instance, ETSI and 3GPP) are tackling them. They then present their approach for some of the technical functionalities required to control and manage M2M networks. Finally the authors describe a realization of a subset of the aforementioned techniques over a real testbed, using the service model proposed by the SENSEI European project. The authors use three performance indicators to assess the goodness of the techniques, namely the stability, the scalability and the robustness. The results, that are as well included within the CAMPUS 21 project, show that the proposed scheme can run on relatively low-memory devices, making it very attractive for realworld IoT deployments. One key success factor for IoT is the possibility to enable fast service creation, which is open to the general public, so that a user does not need to be an expert to be able to create his/her own service. In order to address these challenges, Sylvain Cherrier et al. propose, in the second paper of this special issue, a framework to deploy services to be used over IoT based on the composition of behaviours. They go beyond their previous proposal, D-Lite, which was based on Finite State Transducers, and propose a simpler way of modeling the interactions between IoT components. The BeC3 architecture also allows the exploitation of available modules and K. Pentikousis (*) European Center for Information and Communication Technologies (EICT), EUREF Campus Haus 13, Torgauer Strase 12-15, 10829 Berlin, Germany e-mail: k.pentikousis@eict.de

We consider the Internet of Things (IoT) with malware diffusion and seek optimal malware detection strategies for preserving the privacy of smart objects in IoT networks and suppressing malware diffusion. To this end, we propose a malware detection infrastructure realized by an intrusion detection system (IDS) with cloud and fog computing to overcome the IDS deployment problem in smart objects due to their limited resources and heterogeneous subnetworks. We then employ a signaling game to disclose interactions between smart objects and the corresponding fog node because of malware uncertainty in smart objects. To minimize privacy leakage of smart objects, we also develop optimal strategies that maximize malware detection probability by theoretically computing the perfect Bayesian equilibrium of the game. Moreover, we analyze the factors influencing the optimal probability of a malicious smart object diffusing malware, and factors influencing the performance of a fog node in determining an infected smart object. Finally, we present a framework to demonstrate a potential and practical application of suppressing malware diffusion in IoT networks.

On the interplay of Internet of Things and Cloud Computing: A systematic mapping study

Digital libraries maintain information lifecycles for the digital objects contained therein. Typically these information lifecycles stipulate that a digital object is deleted at the end of its lifecycle. We propose a transient framework for digital libraries in which suitable objects are transformed through a state transition lifecycle thereby reducing the need to ever delete the digital object from the digital library, Transience works for certain media types and we describe and positively evaluate a prototype deployment in the domain of security video.

The TrUST Project: Improving the Fruition of Historical Centres through Smart Objects

Security is a major concern in the digital world. Lots of sensitive information are transferred from one place to another. In the era of Internet of Things (IoT), many smart objects are connected to the Internet. These smart objects, such as, smart card, RFID (Radio Frequency Identification), sensor, etc. are used for collecting secret messages from the devices. So, there is more possibility of attacks on these smart objects. Providing an efficient security mechanism in such devices is a very big challenge due to mainly two reasons: one is limited processing power, and other is limited storage. This paper investigates the implementation of visual cryptographic technique for text messages on resource constrained devices used in IoT.

The new IoT architecture helps us to build small devices that can sense, process, and communicate so that sensors, embedded, and other 'services can be developed to enable us to understand the surroundings. For continuous cardiovascular health surveillance, the IoT-assisted electrocardiogram (ECG) system for safe data transmission has been suggested. The modern paradigm of the Internet of Things enables the creation of small devices with sensing, processing, and communication capabilities that make sensors, embedded devices, and other 'stuff' capable of understanding the environment The Internet of Things (IoT) and intelligent medical devices have transformed healthcare systems, allowing patient health conditions to be monitored and screened anywhere and every time. Due to the sudden and enormous increase in patients during a pandemic of corona-virus, it is essential that patients are constantly monitored until any serious illness or infection takes place. According to the transfer of the enormous amount of confidential health information produced by patients who do not wish to disclose their personal medical information, Concerns about IoT data protection are still an extremely serious issue. The advances made in IoT technology in recent years have supported interactions between smart objects – things through the Internet in a transparent fashion. One of the applications in IoT is healthcare and sensors, the processor aggregator, and the data storage platform.