scholarly journals Internet of Everything (IoE) Taxonomies: A Survey and a Novel Knowledge-Based Taxonomy

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 568
Author(s):  
Viviane Cunha Farias da Costa ◽  
Luiz Oliveira ◽  
Jano de Souza
Keyword(s):  
The Internet ◽  
Sensors And Actuators ◽  
Internet Of Everything ◽  
Knowledge Based ◽  
Critical Knowledge ◽  
Knowledge Processes ◽  
Intelligence Services ◽  
Depth Classification ◽  
The Internet Of Things

The paradigm of the Internet of everything (IoE) is advancing toward enriching people’s lives by adding value to the Internet of things (IoT), with connections among people, processes, data, and things. This paper provides a survey of the literature on IoE research, highlighting concerns in terms of intelligence services and knowledge creation. The significant contributions of this study are as follows: (1) a systematic literature review of IoE taxonomies (including IoT); (2) development of a taxonomy to guide the identification of critical knowledge in IoE applications, an in-depth classification of IoE enablers (sensors and actuators); (3) validation of the defined taxonomy with 50 IoE applications; and (4) identification of issues and challenges in existing IoE applications (using the defined taxonomy) with regard to insights about knowledge processes. To the best of our knowledge, and taking into consideration the 76 other taxonomies compared, this present work represents the most comprehensive taxonomy that provides the orchestration of intelligence in network connections concerning knowledge processes, type of IoE enablers, observation characteristics, and technological capabilities in IoE applications.

The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2017 ◽  
pp. 202-240
Author(s):  
Vaughan Michell
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Medical Errors ◽  
Information Transfer ◽  
Improve Patient Safety ◽  
The Internet ◽  
Sensors And Actuators ◽  
Surgical Interventions ◽  
Knowledge Based ◽  
The Internet Of Things

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2014 ◽  
pp. 382-420 ◽  
Author(s):  
Vaughan Michell
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Medical Errors ◽  
Information Transfer ◽  
Improve Patient Safety ◽  
The Internet ◽  
Sensors And Actuators ◽  
Surgical Interventions ◽  
Knowledge Based ◽  
The Internet Of Things

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

The Internet of Things and Opportunities for Pervasive Safety Monitored Health Environments

2016 ◽  
pp. 1568-1605 ◽  
Author(s):  
Vaughan A. Michell
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Medical Errors ◽  
Information Transfer ◽  
Improve Patient Safety ◽  
The Internet ◽  
Sensors And Actuators ◽  
Surgical Interventions ◽  
Knowledge Based ◽  
The Internet Of Things

This chapter discusses the opportunities for new ubiquitous computing technologies, with concentration on the Internet of Things (IoT), to improve patient safety and quality. The authors focus on elective or planned surgical interventions, although the technology is applicable to primary and trauma care. The chapter is divided into three main sections with section 1 covering medical error issues and mechanisms, section 2 introducing Internet of Things, and section 3 discussing how IoT capabilities may address and reduce medical errors. The authors explore the existing theory of errors expounded by Reason (Reason, 2000, 1998; Leape, 1994) to identify perception-, decision-, and knowledge-based medical errors and related processes, environments, and cultural drivers causing error. The authors then introduce the technology of the Internet of Things and identify a range of capabilities from sensing, tracking, control, cooperative, and semantic reasoning. They then show how these new capabilities might be applied to reduce the errors expounded by the discussed error theories. They identify that: IoT enables augmentation of objects, which provides a massive increase in information transfer, thus improving clinician perception and support for decision-making and problem solving; IoT provides a host of additional observers and opportunities, which can shift the focus of overworked clinicians from constant monitoring to undertaking complex actions, such as decision making and care; IoT networks of sensors and actuators, through the addition of semantic and contextual rules, support decision making and facilitate automated monitoring and control of pervasive safety-monitored health environments, thus reducing clinician workload.

scholarly journals Distributed Intelligence at the Edge on IoT Networks

2020 ◽  
Vol 4 (5) ◽  
pp. 1-18
Author(s):  
Tanweer Alam ◽  
Baha Rababah ◽  
Arshad Ali ◽  
Shamimul Qamar
Keyword(s):  
Smart Devices ◽  
The Internet ◽  
Distributed Intelligence ◽  
Knowledge Based ◽  
Intelligence Services ◽  
Network Problems ◽  
Transmission Of Information ◽  
Correct Communication ◽  
Intelligent Information ◽  
The Internet Of Things

The Internet of Things (IoT) has revolutionized innovation to collect and store the information received from physical objects or sensors. The smart devices are linked to a repository that stores intelligent information executed by sensors on IoT-based smart objects. Now, the IoT is shifted from knowledge-based technologies to operational-based technologies. The IoT integrates sensors, smart devices, and a smart grid of implementations to deliver smart strategies. Nowadays, the IoT has been pondered to be an essential technology. The transmission of information to or from the cloud has recently been found to cause many network problems to include latency, power usage, security, privacy, etc. The distributed intelligence enables IoT to help the correct communication available at the correct time and correct place. Distributed Intelligence could strengthen the IoT in a variety of ways, including evaluating the integration of different big data or enhancing efficiency and distribution in huge IoT operations. While evaluating distributed intelligence in the IoT paradigm, the implementation of distributed intelligence services should take into consideration the transmission delay and bandwidth requirements of the network. In this article, the distributed intelligence at the Edge on IoT Networks, applications, opportunities, challenges and future scopes have been presented.

scholarly journals CRESS: Framework for Vulnerability Assessment of Attack Scenarios in Hardware Reverse Engineering

2021 ◽  
Author(s):  
Matthias Ludwig ◽  
Alexander Hepp ◽  
Michaela Brunner ◽  
Johanna Baehr
Keyword(s):  
Reverse Engineering ◽  
Autonomous Driving ◽  
The Internet ◽  
Changing Trends ◽  
Remediation Strategies ◽  
The Common ◽  
The One ◽  
Soft And Hardware ◽  
The Internet Of Things

Trust and security of microelectronic systems are a major driver for game-changing trends like autonomous driving or the internet of things. These trends are endangered by threats like soft- and hardware attacks or IP tampering -- wherein often hardware reverse engineering (RE) is involved for efficient attack planning. The constant publication of new RE-related scenarios and countermeasures renders a profound rating of these extremely difficult. Researchers and practitioners have no tools or framework which aid a common, consistent classification of these scenarios. In this work, this rating framework is introduced: the common reverse engineering scoring system (CRESS). The framework allows a general classification of published settings and renders them comparable. We introduce three metrics: exploitability, impact, and a timestamp. For these metrics, attributes are defined which allow a granular assessment of RE on the one hand, and attack requirements, consequences, and potential remediation strategies on the other. The system is demonstrated in detail via five case studies and common implications are discussed. We anticipate CRESS to evaluate possible vulnerabilities and to safeguard targets more proactively.

Exploring Secure Computing for the Internet of Things, Internet of Everything, Web of Things, and Hyperconnectivity

2017 ◽  
pp. 1-12 ◽  
Author(s):  
Maurice Dawson
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
The Internet ◽  
Web Of Things ◽  
Internet Of Everything ◽  
Secure Computing ◽  
The Everyday ◽  
Frequency Identification ◽  
Technological Platforms ◽  
The Internet Of Things

Secure computing is essential as environments continue to become intertwined and hyperconnected. As the Internet of Things (IoT), Web of Things (WoT), and the Internet of Everything (IoE) dominate the landscape of technological platforms, protection these complicated networks is important. The everyday person who wishes to have more devices that allow the ability to be connected needs to be aware of what threats they could be potentially exposing themselves to. Additionally, for the unknowing consumer of everyday products needs to be aware of what it means to have sensors, Radio Frequency IDentification (RFID), Bluetooth, and WiFi enabled products. This submission explores how Availability, Integrity, and Confidentiality (AIC) can be applied to IoT, WoT, and IoE with consideration for the application of these architectures in the defense sector.

FOWLP Technology eWLB – Enabler for Packaging of IoT/IoE Modules

2015 ◽  
Vol 2015 (1) ◽  
pp. 000239-000244 ◽  
Author(s):  
Steffen Kroehnert ◽  
José Campos ◽  
André Cardoso ◽  
Eoin O'Toole ◽  
Abel Janeiro ◽  
...  
Keyword(s):  
Internet Of Things ◽  
System Integration ◽  
Good News ◽  
The Internet ◽  
Smart System ◽  
Packaging Technology ◽  
Internet Of Everything ◽  
The Cost ◽  
Semiconductor Packaging ◽  
The Internet Of Things

The next big wave, the Internet of Things or Internet of Everything (IoT/IoE) is on the way. What does that mean for semiconductor packaging, assembly and test? What are the requirements? What solutions can be provided? The market will be wide and fragmented. Many different solutions will be needed. Flexibility and the capability to customize system solutions will be crucial. The fact is, it will be all about smart system integration, integration of sensors, MEMS, connectivity and memory: more functionality on less space in small and thin System-in-Package (SiP) and Package-on-Package (PoP). There will not be one specific packaging technology for IoT/IoE, and no new “IoT/IoE Packaging Technology”. The toolbox is here already, and further features required to meet the needs of future IoT/IoE modules are under development. That is actually good news, as the cost pressure will be high, and materialization of existing manufacturing environment, of mature and yielding packaging technologies will be a key for success.

The Internet of Things

2020 ◽  
Author(s):  
Scott J. Shackelford
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
Stock Exchanges ◽  
The Internet ◽  
Internet Of Everything ◽  
The Social ◽  
Challenges And Opportunities ◽  
Perverse Incentives ◽  
And Control ◽  
The Internet Of Things

The Internet of Things (IoT) is the notion that nearly everything we use, from gym shorts to streetlights, will soon be connected to the Internet; the Internet of Everything (IoE) encompasses not just objects, but the social connections, data, and processes that the IoT makes possible. Industry and financial analysts have predicted that the number of Internet-enabled devices will increase from 11 billion to upwards of 75 billion by 2020. Regardless of the number, the end result looks to be a mind-boggling explosion in Internet connected stuff. Yet, there has been relatively little attention paid to how we should go about regulating smart devices, and still less about how cybersecurity should be enhanced. Similarly, now that everything from refrigerators to stock exchanges can be connected to a ubiquitous Internet, how can we better safeguard privacy across networks and borders? Will security scale along with this increasingly crowded field? Or, will a combination of perverse incentives, increasing complexity, and new problems derail progress and exacerbate cyber insecurity? For all the press that such questions have received, the Internet of Everything remains a topic little understood or appreciated by the public. This volume demystifies our increasingly “smart” world, and unpacks many of the outstanding security, privacy, ethical, and policy challenges and opportunities represented by the IoE. Scott J. Shackelford provides real-world examples and straightforward discussion about how the IoE is impacting our lives, companies, and nations, and explain how it is increasingly shaping the international community in the twenty-first century. Are there any downsides of your phone being able to unlock your front door, start your car, and control your thermostat? Is your smart speaker always listening? How are other countries dealing with these issues? This book answers these questions, and more, along with offering practical guidance for how you can join the effort to help build an Internet of Everything that is as secure, private, efficient, and fun as possible.

scholarly journals Resource Management Based on OCF for Device Self-Registration and Status Detection in IoT Networks

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 311 ◽  
Author(s):  
Wenquan Jin ◽  
Dohyeun Kim
Keyword(s):  
Resource Management ◽  
The Internet ◽  
Sensors And Actuators ◽  
Agent Based ◽  
Management Platform ◽  
The Status ◽  
Hypertext Transfer Protocol ◽  
Iot Devices ◽  
Registration Scheme ◽  
The Internet Of Things

Recently, there are heterogeneous devices that connect to the Internet to provide ubiquitous and intelligent services based on sensors and actuators in the network of the Internet of Things (IoT). The resources of IoT represent the physical entities on the Internet to expose functions through services. Resource management is necessary to enable a massive amount of IoT-connected devices to be discoverable and accessible in the network of IoT. In this paper, we propose an IoT resource management to provide schemes of device self-registration and status detection for devices based on the Open Connectivity Foundation (OCF) standard. This device self-registration scheme is based on an agent that is proposed for registering devices itself which deployed in the OCF network. The devices host the OCF resources to provide IoT services such as sensing and controlling through the sensors and actuators. For a group of devices, an agent-based self-registration is proposed to register the resources. Through the proposed self-registration, the information of IoT devices is published using profile and saved in the management platform that enables the clients to discover the resources and access the services. For accessing the IoT resources in the OCF network, an interworking proxy is proposed to support the communications between web clients and devices over Hypertext Transfer Protocol (HTTP) and Constrained Application Protocol (CoAP) based on OCF. Furthermore, through the interoperability of the resources using the registered information, a real-time monitoring scheme is proposed based on periodic request and response for the status detection of deployed devices.

Advantech: evolution of its IoT ecosystem strategy

2018 ◽  
Vol 8 (4) ◽  
pp. 1-28
Author(s):  
Guo (Ginkgo) Bai ◽  
Liman Zhao ◽  
Zhenrong Edison Wang
Keyword(s):  
The Internet ◽  
Senior Executives ◽  
Content Type ◽  
Internet Of Everything ◽  
Academic Level ◽  
Iot Platform ◽  
Corporate Growth ◽  
Industrial Iot ◽  
Systematic Understanding ◽  
The Internet Of Things

Learning outcomes Through this case, students will not only learn about the latest development of this emerging industry, IoT, but also gain a systematic understanding of “ecosystem strategy” and get to know a new corporate growth model called “co-creation”. Case overview/synopsis This case describes why and how Advantech Co., Ltd. (hereinafter referred to as Advantech) has transformed in the age of the Internet of Things. Aware of the ecosystem attributes of the IoT industry and committed to the company’s principle of “altruism”, Advantech strategically positioned itself as an “IoT platform provider” and an “enabler” for IoT applications. After carrying out a reform in terms of internal management, external cooperation, and development model, Advantech has evolved from an industrial computer maker to an IoT solution provider. Since the launch of the “co-creation model” at the end of 2016, Advantech has drawn attention from many excellent companies in traditional industries. With the Internet of Everything close at hand, Chairman KC Liu is well aware there are many challenges to overcome as Advantech strives to build an industrial IoT ecosystem, the “evolution” continues. Complexity academic level MBAs, EMBAs and senior executives. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes. Subject code CSS 11: Strategy

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