Internet of Things (IOT) has become the key theme of the world since 2009 and been considered as the third wave in the information industry after the waves of Computer, Internet and Mobile Radio Communication. It is expected to have a strong influence on small and medium companies (SMEs). However, little research on what and how the influence of IOT on the SME’s development can be found in the literature. The purpose of the thesis is to examine how IOT influences the organizational changes in SMEs. Finally, suggestions for strategy developments will be proposed to assist the SMEs in making their organization changes successfully. Two main models are applied for this part: change model (OD model) and business model. Moreover, the SWOT theory is adopted to identify the SMEs position in IOT era. We collect the primary data through launching the survey on internet. After data documentation, we apply “Approximation of the Probability Hypothesis Testing” Method to conduct data analysis. After researching, we found out the IOT brings “revolution” change to the Logistics of SMEs while only “adapting” change for Manufactures’ business development. Compare to logistic industry, the manufacturing SMEs seldom adopts IT technologies for their selling channel because they are lacking of resources and knowledge for the new technologies. We suggest the logistic SMEs should establish logistic network between the logistic companies to enhance information and resource integration. For the manufacturing SMEs should apply knowledge management and change the companies into learning organizations. In future, IOT will bring radical changes for manufacturers, which are the biggest area with application of IOT technology. Nevertheless, the logistics industry might go out of fashion. In other words, logistics industry may die out or change to other functions.

Internet of Things blir allt mer vanligt i hemmet. På senare år har utbudet av uppkopplade enheter som hjälper till att automatisera delar av hemmet ökat. Uppkopplade sensorer är en del av detta och de erbjuder övervakning av till exempel temperatur, luftfuktighet, rörelse och ljus. Genom att presentera mätvärden från sensorer via ett grafiskt gränssnitt har man möjligheten att agera — manuellt eller automatiskt — på dessa värden för att till exempel justera temperatur i god tid. Målet med detta arbete är att utveckla en IoT-produkt som ett sensornätverk för övervakning av mätvärden från sensorer på enkortsdatorn Raspberry Pi. Syftet är att skapa ett skalbart system med en modulär design. Två Raspberry Pi användes för att utveckla ett IoT-system där en enhet läser in mätvärden från sensorer och en annan enhet exponerar ett REST API som möjliggör kommunikation via HTTP-protokollet för att skicka och ta in mätvärden. Mätvärden lagras i en databas och de senaste mätvärdena presenteras i ett grafiskt användargränssnitt. Resultatet är ett sensornätverk med en modulär design som kan användas för att övervaka senast uppmäta värden av temperatur och luftfuktighet i omgivningen. Dessa värden presenteras i ett grafiskt gränssnitt. / Internet of Things is becoming more common in the home. In recent years, the availability of connected devices that help automate parts of the home has increased. Connected sensors are part of this and they offer monitoring of, for example, temperature, humidity, motion and light. By presenting measurment values from sensors via a graphical interface, you have the option to act — manually or automatically – on these values, to for example, adjust the temperature in good time. The aim of this report is to develop an IoT product as a sensor network to collect data from sensors connected to the single board computer Raspberry Pi. The purpose is to create a scalable system with a modular design. Two Raspberry Pi were used to develop an IoT system where a device collects measu- rement values from sensors and another device which exposes a REST API that enables communication through the HTTP-protocol to send and recieve data. Measurment values are stored in a database and the latest measurement values are presented in a grahpical user interface. The result is a sensor network with a modular design that can be used to collect humi- dity and temperature values in the enviroment. These values are presented in a graphical user interface.

Background. With the rise of Internet of Things and Internet connected devices many things become convenient and efficient but these products also carry risks. Even though a lot of people own devices like this not so many think of the consequences if these devices aren't secure. Objectives. Given this our thesis aims to discover the implications of vulnerable devices and also at what rate there are insecure, unpatched devices compared to the patched, secure counterpart. Methods. The approach implemented uses Shodan to find these devices on the internet and also to find version information about each device. After the devices are found the objective is to calculate a CVSS score on the vulnerabilities and the exploit that can abuse the vulnerability, if there exists any. Results. What we found was that 71.85% of a smart home server brand was running an insecure version. As to the consequences of having an insecure device, it can be severe.Conclusions. We found that, for instance, an attacker can without much difficulty shut off alarms in your smart home and then proceed to break into your house. Keywords: Vulnerability; Shodan; Internet of Things (IoT); Patching

The Internet of Things (IoT) technology is undergoing expansion into different aspects of our life, changing the way businesses operate and bringing in efficiency and reliability of digital controls on various levels. Processing large amount of data from connected sensor networks becomes a challenging task. Specific part of it related to fleet management requires processing of the data on boards of vehicles equipped with multiple electronic devices and sensors for maintenance and operation of such vehicles. Herewith the efficiency of various configurations of employing Kalman filter algorithm for on-the-fly pre-processing of the sensory network originated data streams in IoT systems is investigated. Contextual grouping of the data streams for pre-processing by specialized Kalman filter units is found to be able to satisfy the logistics of IoT system operations. It is demonstrated that interconnection of the elementary Kalman filters into an organized network, the compositional Kalman filter, allows to take advantage of the redundancy of data streams to accomplish IoT pre-processing of the raw data. This includes intermittent data imputation, missing data replacement, lost data recovery, as well as error events detection and correction. Architectures are proposed and tested for the interaction of elementary Kalman filters in detection of GPS outage events and their compensation via data replacement procedure, as well as GPS offset occurrence detection and its compensation via data correction routine. Demonstrated is the efficiency of the suggested compositional designs of elementary Kalman filter networks for the purpose of data pre-processing in IoT systems.

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2016. / Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2017-03-03T18:16:47Z No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5) / Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2017-04-04T21:54:40Z (GMT) No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5) / Made available in DSpace on 2017-04-04T21:54:40Z (GMT). No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5) / Vemos um crescente interesse em aplicações que devem contar com ambientes de computação heterogêneos, como a Internet das Coisas (IoT). Esses aplicativos são destinados a executar em uma ampla gama de dispositivos com diferentes recursos computacionais disponíveis. Para lidar com algum tipo de heterogeneidade, como dois tipos possíveis de processadores gráficos em um computador pessoal, podemos usar abordagens simples como um script que escolhe a biblioteca de software certa a ser copiada para uma pasta. Essas abordagens simples são centralizadas e criadas em tempo de design. Eles requerem um especialista ou equipe para controlar todo o espaço de variabilidade. Dessa forma, essas abordagens não são escaláveis para ambientes altamente heterogêneos. Em ambientes altamente heterogêneos, é difícil prever o ambiente computacional em tempo de projeto, implicando provavelmente indecidibilidade na configuração correta para cada ambiente. Em nosso trabalho, propomos GoalD: um método que permite a implantação autônoma de sistemas, refletindo sobre os objetivos do sistema e seu ambiente computacional. Por implantação autônoma, queremos dizer que o sistema é capaz de encontrar o conjunto correto de componentes para o ambiente computacional alvo, sem intervenção humana. Nós avaliamos nossa abordagem em um estudo de caso: conselheiro de estação de abastecimento, onde uma aplicação aconselha um motorista onde reabastecer / recarregar seu veículo. Nós projetamos a aplicação com variabilidade em nível de requisitos, arquitetura e implantação, o que pode permitir que a aplicação projetada seja executada em diferentes dispositivos. Para cenários com diferentes ambientes, foi possível planejar a implantação de forma autônoma. Além disso, a escalabilidade do algoritmo que planeja a implantação foi avaliada em um ambiente simulado. Os resultados mostram que usando a abordagem é possível planejar de forma autônoma a implantação de um sistema com milhares de componentes em poucos segundos. / We see a growing interest in computing applications that should rely on heterogeneous computing environments, like Internet of Things (IoT). Such applications are intended to execute in a broad range of devices with different available computing resources. In order to handle some kind of heterogeneity, such as two possible types of graphical processors in a desktop computer, we can use simple approaches as a script at deployment-time that chooses the right software library to be copied to a folder. These simple approaches are centralized and created at design-time. They require one specialist or team to control the entire space of variability. However, such approaches are not scalable to highly heterogeneous environments. In highly dynamic and heterogeneous environment it is hard to predict the computing environment at design-time, implying likely undecidability on the correct configuration for each environment at design-time. In our work, we propose GoalD: a method that allows autonomous deployment of systems by reflecting about the goals of the system and its computing environment. By autonomous deployment, we mean that the system can find the correct set of components, for the target computing environment, without human intervention. We evaluate our approach on the filling station advisor case study where an application advises a driver where to refuel/recharge its vehicle. We design the application with variability at requirements, architecture, and deployment, which can allow the designed application be executed in different devices. For scenarios with different environments, it was possible to plan the deployment autonomously. Additionally, the scalability of the algorithm that plan the deployment was evaluated in a simulated environment. Results show that using the approach it is possible to autonomously plan the deployment of a system with thousands of components in few seconds.

Tese (doutorado)—Universidade de Brasília, Faculdade de Ciência da Informação Programa de Pós-Graduação em Ciência da Informação, 2015. / Submitted by Albânia Cézar de Melo (albania@bce.unb.br) on 2016-03-02T15:44:15Z No. of bitstreams: 1 2015_FlaviaLacerda.pdf: 5769221 bytes, checksum: 5e62a93f8e6a6928e54d2d7d4a3531bf (MD5) / Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2016-03-02T20:24:59Z (GMT) No. of bitstreams: 1 2015_FlaviaLacerda.pdf: 5769221 bytes, checksum: 5e62a93f8e6a6928e54d2d7d4a3531bf (MD5) / Made available in DSpace on 2016-03-02T20:24:59Z (GMT). No. of bitstreams: 1 2015_FlaviaLacerda.pdf: 5769221 bytes, checksum: 5e62a93f8e6a6928e54d2d7d4a3531bf (MD5) / Analisa-se o cenário da Internet das Coisas (IoT) e seus impactos para a sociedade. Apresenta-se referencial teórico baseado na Arquitetura da Informação e áreas transdisciplinares correlatas – tais como Arquitetura, Ciências Cognitivas, Ciência da Computação, Ciência de Sistemas, Design e Filosofia – para fundamentar a compreensão do fenômeno da IoT e seus desdobramentos. Propõe um modelo de Arquitetura da Informação Pervasiva composto de premissas, princípios e heurísticas, classificados por aspectos humanos, arquitetônicos e sistêmicos, para orientar projetos de ecossistemas de informação na IoT, com vistas a desenvolvê-los de forma a considerar valores e questões humanas. / Analyzes Internet of Things (IoT) scenario and its impacts on society. Presents a theoretical framework based on Information Architecture and related transdisciplinary areas - such as Architecture, Cognitive Sciences, System Sciences, Computer Science, Design, and Philosophy - to promote understanding of IoT phenomena and its consequences. Proposes a Pervasive Information Architecture model composed of assumptions, principles and heuristics, classified by human, architectural and systemic aspects, to guide projects on information ecosystems at IoT, considering human concerns and values.

The industrial domain is experiencing relatively a higher growth rate than other Internet-ofThings (IoT) market domains. Much as a lot is said about its technological capabilities andapplications, less has been said about the business side, and specifically how business modelsfor IIoT are changing currently. This paper seeks to explore how industrial IoT business modelsare changing the key drivers in the now. Some of the key finding include the fact that thischange is expressed most within the value proposition, collaborations and partnerships, newskill sets, internal departmental convergences etc. The key drivers are mainly bothtechnologically and market driven with mostly reasons of IIoT adoption being cost cutting andefficiency in operations. It is also found out that standardization and regulations also play akey role but only to arbitrate (issue like privacy security, ownership interoperability etc.) whathas or is already been put to service, in most of the cases e.g., The General Data ProtectionRegulation (GDPR).

With the advent of big data era, there is countless data produced from various kinds of machines every second. These data are used to help people to do studies, produce goods, improve the efficiency of the industrial development, and so on. Especially considering the Internet of things which connects all the smart machines together, the importance of data integrity gets unprecedented attention from us. In order to keep the data integrity, blockchain comes to its birth using its own structure to guarantee the data integrity efficiently. This project is focus on the simulation of data system based on the blockchain in the background of industrial internet of things which is shown in a form of a website with coding language jade and the environment is Node.Js. The main task is to measure the time consumed in the process of block mining under different parameters include data length, nonce, difficulty, sensor number in order to find the correlation between block mining time and different parameters. Thus, the rule about the impact of different parameter on the mining time are concluded. According to the rule I found, the evaluation about scalability, efficiency and safety of this system are given and I also summarize two formulas to calculate the efficiency of block mining. Ethical consideration and future work are addressed in the conclusion part.

Security is always a big problem in IoT (internet of things),when it comes to IoT, there must have cloud computing because many devices in IoT are small embedded devices and they don’t always have enough power to finish some complex calculations. Then, they need to take advantage of a third party system especially cloud at present to finish some operations, but the cloud is not safe enough now, in which some important and private information may be leaked, then people introduce homomorphic encryption which can do calculation on encrypted data. To meet the modern needs for random calculations in which the operation can have random times’ addition and multiplication, researchers are trying to make fully homomorphic encryption practical. So in my thesis, I would choose one fully homomorphic encryption scheme to implement a detailed IoT scenario using some IoT devices such as laptop and raspberry pi. Then I would use performance measurements such as response time calculations to do the performance evaluation such as effectiveness and scalability for this technique. Finally, I find some relationship between different parameters and response time, and also effectiveness, scalability in results and conclusion part.

Submitted by CLAUDINES TAVEIRA TORRES null (torres.analista@hotmail.com) on 2017-05-22T18:05:43Z No. of bitstreams: 1 Torres CT- Dissertação 22-05-2017.pdf: 4034477 bytes, checksum: a562e11dc260722bc79d609df65cc0c2 (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-05-23T17:39:02Z (GMT) No. of bitstreams: 1 torres_ct_me_bauru.pdf: 4034477 bytes, checksum: a562e11dc260722bc79d609df65cc0c2 (MD5) / Made available in DSpace on 2017-05-23T17:39:02Z (GMT). No. of bitstreams: 1 torres_ct_me_bauru.pdf: 4034477 bytes, checksum: a562e11dc260722bc79d609df65cc0c2 (MD5) Previous issue date: 2017-03-30 / As inovações tecnológicas, a popularização exponencial da Internet aliado ao aumento no uso dos Smartphones e acesso à Web, vêm alterando a forma como vivemos e nos comunicamos, destacando-se a interatividade, redes sociais, celulares inteligentes, aplicativos móveis, Internet das Coisas, comunicação M2M, computação sobre as nuvens entre outros, aliado a isso a empolgação do mercado quanto a utilização do IoT é mencionada em 2015 pelo Ciclo Gardner Hype como a tecnologia no ápice da crista da onda para os próximos 5 a 10 anos. O presente trabalho teve como objetivo criar um facilitador para os visitantes do museu através de desenvolvimento de um protótipo App de dispositivo móvel utilizando tecnologia Beacons e QRCode para acesso as informações dos objetos do museu dos ferroviários. A importância desta pesquisa está alicerçada na estimação que representa a estrada de ferro no mundo e principalmente em nossa região. A necessidade de preservar a cultura e difundir a memória da história é encontrada no museu ferroviário de Bauru e neste cenário foi desenvolvido uma pesquisa e de um protótipo de App utilizando as tecnologias Android, sensores Beacons (IoT), QRCode, Internet, Bluetooh e dispositivos móveis (Smartphones, Tablet) para tornar mais atraente e interessante aos seus visitantes. A realização do protótipo de App e as tecnologias mencionadas acima trouxeram aos visitantes um novo cenário, unindo-se o mundo real e o virtual, melhorando substancialmente a sua experiência no museu e fazendo com que os visitantes retornem futuramente ao museu e tragam outros visitantes. / Technological innovations, the Internet exponential popularization, the increase use of smartphones and the web access have changed the way we live and communicate, with special emphasis on interactivity, social networks, smart phones, mobile applications, Internet of things, M2M communication, cloud computing among others. The market expectation in relation to the use of IoT - Internet of Things is mentioned in 2015 by the Gardener Hype Cycle and the technology is on the crest of a wave for the next 5 to 10 years. The present work aimed to create a facilitator for museum visitors, developing a prototype of mobile device app using the beacons and the qrcode technology to access information about the railway museum objects. The importance of this research is based on the railway estimation around the world and mainly in our region. The need to preserve culture and spread the history memory is found in Bauru railway museum, and in this scenario a research and an app prototype were developed using android technologies, beacons sensors (IoT), qrcode, internet, bluetooh and Mobile devices (smartphones, tablet) to make the experience more attractive and interesting for the visitors. The app prototype and the technologies mentioned above have brought a new setting to visitors, joining the real and virtual worlds, substantially improving their museum experience and having visitors to go back to the museum in the future and bring other visitors.