Internet of Things - Technology, Applications and Standardization最新文献

The Internet of Things in a Smart Connected World 智能互联世界中的物联网

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-08-01 DOI: 10.5772/INTECHOPEN.76128

Hyun Jung Lee, Myungho Kim

{"title":"The Internet of Things in a Smart Connected World","authors":"Hyun Jung Lee, Myungho Kim","doi":"10.5772/INTECHOPEN.76128","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.76128","url":null,"abstract":"The internet of things (IoT) constitutes a network of embedded devices that incorporate sensors and communication functions. The IoT is becoming one of the core technologies of the Fourth Industrial Revolution. This is because the IoT creates new values in the connected smart world by collecting big data, uploading data into clouds, and processing data in intelligent systems. The newly created values in intelligent systems differ from previously generated values that were based on the simple automated systems of the Third Industrial Revolution. In this chapter, we present a brief introduction of the IoT, which connects to the Internet through incorporating sensors and communication functions in various smart objects. In the IoT era, it is possible to create a networked smart world with powerful new services and products that create new values. As applications of the IoT, we introduce smart homes, smart electronics, smart connected cars, smart grids, smart healthcare, smart wearable devices, etc. In addition, we illustrate a specific IoT complex in a smart city as one of the smart connected applications of the IoT. Finally, we describe the predicted hyper-connected smart world that will be achieved through the IoT.","PeriodicalId":297158,"journal":{"name":"Internet of Things - Technology, Applications and Standardization","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

A Reference Architecture for Digital Ecosystems 数字生态系统的参考体系结构

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-08-01 DOI: 10.5772/INTECHOPEN.77395

A. Averian

引用次数: 3

dT-Calculus: A Formal Method to Specify Distributed Mobile Real-Time IoT Systems dt微积分:一种指定分布式移动实时物联网系统的形式化方法

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-08-01 DOI: 10.5772/INTECHOPEN.75138

Sunghyeon Lee, Yeongbok Choe, Moonkun Lee

引用次数: 1

Cooperative Human-Centric Sensing Connectivity 协作式以人为中心的感知连接

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-08-01 DOI: 10.5772/INTECHOPEN.76158

A. Mihovska, M. Sarkar

{"title":"Cooperative Human-Centric Sensing Connectivity","authors":"A. Mihovska, M. Sarkar","doi":"10.5772/INTECHOPEN.76158","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.76158","url":null,"abstract":"Human-centric sensing (HCS) is a new concept relevant to Internet of Things (IoT). HCS connectivity, referred to as “smart connectivity,” enables applications that are highly personalized and often time-critical. In a typical HCS scenario, there may be many hundreds of sensor stream connections, centered around the human, who would be the determining factor for the number, the purpose, the direction, and the frequency of the sensor streams. This chapter examines the concepts of HCS communications, outlines the challenges, and defines a roadmap for solutions for realizing HCS networks. This chapter is organized as follows. Section 1 introduces the concept of cooperation in information and communications technologies (ICT), and in the context of IoT. Section 2 discusses cooperation in the context of the personal and extra-personal user space and identifies the remaining open challenges and requirements for realizing the benefits of this approach to enabling more resources and services in a hyper-connected society. Section 3 defines a roadmap toward realizing simple, efficient, and trustable systems based on advanced technologies combining security, cloud, and IoT/big data technologies and outlines the challenges related to this vision. Section 4 concludes the chapter.","PeriodicalId":297158,"journal":{"name":"Internet of Things - Technology, Applications and Standardization","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Adaptive Lightweight Security Framework Suited for IoT 适合物联网的自适应轻量级安全框架

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-08-01 DOI: 10.5772/INTECHOPEN.73712

M. Domb

{"title":"An Adaptive Lightweight Security Framework Suited for IoT","authors":"M. Domb","doi":"10.5772/INTECHOPEN.73712","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.73712","url":null,"abstract":"Standard security systems are widely implemented in the industry. These systems con- sume considerable computational resources. Devices in the Internet of Things [IoT] are very limited with processing capacity, memory and storage. Therefore, existing security systems are not applicable for IoT. To cope with it, we propose downsizing of existing security processes. In this chapter, we describe three areas, where we reduce the required storage space and processing power. The first is the classification process required for ongoing anomaly detection, whereby values accepted or generated by a sensor are clas- sified as valid or abnormal. We collect historic data and analyze it using machine learn ing techniques to draw a contour, where all streaming values are expected to fall within the contour space. Hence, the detailed collected data from the sensors are no longer required for real-time anomaly detection. The second area involves the implementation of the Random Forest algorithm to apply distributed and parallel processing for anomaly discovery. The third area is downsizing cryptography calculations, to fit IoT limitations without compromising security. For each area, we present experimental results support-ing our approach and implementation. as follows: We begin with an introduction followed by the relevant literature review. We then discuss rules extraction using machine learning tech -niques. We present random forest as the most suitable ML for IoT. We proceed with various improvements, utilizing RF and IoT attributes. We then outline an experiment that executes RF building and its corresponding classifications using 15 different configurations, each based on a unique combination of the number of processors and the forest size.","PeriodicalId":297158,"journal":{"name":"Internet of Things - Technology, Applications and Standardization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130631056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

IoT Standardization: The Road Ahead 物联网标准化:未来之路

Internet of Things - Technology, Applications and Standardization Pub Date : 2018-03-29 DOI: 10.5772/INTECHOPEN.75137

Arpan Pal, H. Rath, S. Shailendra, AbhijanBhattacharyya

引用次数: 15