Privacy, Algorithmic Discrimination, and the Internet of Things

2019 ◽  
pp. 284-296
Author(s):  
Jenifer Sunrise Winter
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
The Internet ◽  
Everyday Objects ◽  
Wide Range ◽  
Physical Objects ◽  
The Internet Of Things

The internet of things (IoT) is a paradigm encompassing a wide range of developments that enable everyday objects to be tagged and uniquely identified over the internet. The IoT ecosystem is comprised of networks of physical objects embedded with the ability to sense, and sometimes act upon, their environment, as well as related communication, applications, and data analytics. This chapter introduces the internet of things, addresses its definition and related concepts, outlines anticipated application areas, and highlights challenges for its development. Concerns about privacy, surveillance, and unjust algorithmic discrimination are discussed.

Privacy, Algorithmic Discrimination, and the Internet of Things

2018 ◽  
pp. 4951-4961
Author(s):  
Jenifer Sunrise Winter
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
The Internet ◽  
Everyday Objects ◽  
Wide Range ◽  
Physical Objects ◽  
The Internet Of Things

The Internet of Things (IoT) is a paradigm encompassing a wide range of developments that enable everyday objects to be tagged and uniquely identified over the Internet. The IoT ecosystem is comprised of networks of physical objects embedded with the ability to sense, and sometimes act upon, their environment, as well as related communication, applications, and data analytics. This chapter introduces the Internet of Things, addresses its definition and related concepts, outlines anticipated application areas, and highlights challenges for its development. Concerns about privacy, and surveillance, and unjust algorithmic discrimination are discussed.

Multifaceted Applications of the Internet of Things

2018 ◽  
pp. 7775-7784 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Internet Of Things ◽  
Embedded Sensors ◽  
The Internet ◽  
Transmission Networks ◽  
Everyday Objects ◽  
Physical Objects ◽  
The Internet Of Things ◽  
Critical Perspectives

This article determines the overview of the Internet of Things (IoT) and the multifaceted applications of the IoT. The IoT is made up of hardware and software technologies. The IoT describes a world in which everyday objects are connected to a network so that data can be shared. The IoT refers to the networking of physical objects through the use of embedded sensors, actuators, and other devices that can collect and transmit information about the objects. The data amassed from these devices can be analyzed to optimize products, services, and operations. For the IoT to flourish, interoperability must apply across all parts of the system, including the transmission networks and the data being transmitted. The IoT enables the multifaceted applications ranging from the micro to the macro, and from the trivial to the critical perspectives.

Multifaceted Applications of the Internet of Things

2019 ◽  
pp. 1176-1187
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Internet Of Things ◽  
Embedded Sensors ◽  
The Internet ◽  
Transmission Networks ◽  
Everyday Objects ◽  
Physical Objects ◽  
The Internet Of Things ◽  
Critical Perspectives

This chapter determines the overview of the internet of things (IoT) and the multifaceted applications of the IoT. The IoT is made up of hardware and software technologies. The IoT describes a world in which everyday objects are connected to a network so that data can be shared. The IoT refers to the networking of physical objects through the use of embedded sensors, actuators, and other devices that can collect and transmit information about the objects. The data amassed from these devices can be analyzed to optimize products, services, and operations. For the IoT to flourish, interoperability must apply across all parts of the system, including the transmission networks and the data being transmitted. The IoT enables the multifaceted applications ranging from the micro to the macro, and from the trivial to the critical perspectives.

scholarly journals Problems of Powering End Devices in Wireless Networks of the Internet of Things

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Alternative Possibilities ◽  
The Internet ◽  
Power Sources ◽  
Wide Range ◽  
The Internet Of Things

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.

RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

2021 ◽  
Vol 83 (4) ◽  
pp. 100-111
Author(s):  
Ahmad Anwar Zainuddin ◽  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Physical World ◽  
Future Directions ◽  
Wide Range ◽  
Time Utilization ◽  
Relationship Of ◽  
The Internet Of Things

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

scholarly journals Privacy by design : principles as a foundation to a more secure Internet of Things

2021 ◽  
Author(s):  
Mohamad Oubai Al-Rejleh
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Personal Data ◽  
The Internet ◽  
Quantified Self ◽  
Everyday Objects ◽  
Late 21St Century ◽  
Frequency Identification ◽  
Internet Networks ◽  
The Internet Of Things

The Internet of Things (IoT) is a revolutionary concept that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearables, equipped with sensors and (Radio Frequency Identification) RFID chips, can communicate with the internet and to their physical surroundings. These chips allow the connected items to share information, and allow the user to collect information about his/her “quantified self”, measuring personal data such as habits of usage, lifestyle, and location through internet networks. IoT enabled devices are designed to collect, store, share, and analyze of highly personal data ubiquitously and in real time. However, with this new affordance of connectivity, comes a potential loss of privacy for users, as ever increasing sets of personal data are collected and tracked. As such, there is a pressing need for privacy considerations to be embedded within the early stages of design of connected devices and networks.

Big Data Analytics in Bioinformatics

Biotechnology ◽  
2019 ◽  
pp. 1967-1984
Author(s):  
Dharmendra Trikamlal Patel
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Annual Growth ◽  
Predictive Analysis ◽  
The Internet ◽  
Data Generation ◽  
Intelligent Devices ◽  
The Internet Of Things

Voluminous data are being generated by various means. The Internet of Things (IoT) has emerged recently to group all manmade artificial things around us. Due to intelligent devices, the annual growth of data generation has increased rapidly, and it is expected that by 2020, it will reach more than 40 trillion GB. Data generated through devices are in unstructured form. Traditional techniques of descriptive and predictive analysis are not enough for that. Big Data Analytics have emerged to perform descriptive and predictive analysis on such voluminous data. This chapter first deals with the introduction to Big Data Analytics. Big Data Analytics is very essential in Bioinformatics field as the size of human genome sometimes reaches 200 GB. The chapter next deals with different types of big data in Bioinformatics. The chapter describes several problems and challenges based on big data in Bioinformatics. Finally, the chapter deals with techniques of Big Data Analytics in the Bioinformatics field.

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