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Displaying 51 - 75 of 193

Security for IEEE P1451.0-Based IoT Sensor Networks

November 13, 2021
Author(s)
Eugene Song, Kang B. Lee, Ke Zhou, Jun Wu
The challenges of the Internet of Things (IoT) sensor networks include connectivity, interoperability, security, and privacy. The Institute of Electrical and Electronics Engineers (IEEE) P1451.0 standard is being revised based on these challenges and

Time Synchronization of IEEE P1451.0 and P1451.1.6 Standard-based Sensor Networks

November 13, 2021
Author(s)
Hiroaki Nishi, Eugene Song, Yuichi Nakamura, Kang B. Lee, Yucheng Liu, Kim Fung Tsang
This paper introduces the proposed time synchronization approaches to the Institute of Electrical and Electronics Engineers (IEEE) P1451.0 standard-based sensor networks for Internet of Things (IoT) applications. A time synchronization architecture of IEEE

Towards An Adaptive Time-Triggered Protocol in Wireless Networks

October 19, 2021
Author(s)
Jin Zhang, Fan Liang, Wei Yu, David W. Griffith, Wenqi Guo, Avi Gopstein
Time sensitive activities occur extensively in industrial Internet of Things (IoT) environments. Classical time-triggered protocols in wired networks, such as Ethernet, have been proven effective in supporting real-time and safety-critical communications

Towards Online Continuous Reinforcement Learning on Industrial Internet of Things

October 19, 2021
Author(s)
Cheng Qian, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
In Industrial Internet of Things (IIoT), the information and communication technologies powered by IoT can greatly improve the efficiency and timeliness of information exchange between different industrial components. Likewise, machine learning techniques

A Framework for the Composition of IoT and CPS Capabilities

September 9, 2021
Author(s)
Khalid Halba, Edward Griffor, ANTON DAHBURA, ahmed lbath
By 2030, over half-trillion devices will be connected to the internet. With so many devices with a wide range of capabilities, there is a need for a framework for innovation and reuse of IoT and CPS capabilities. Such framework should facilitate

A Functional BCI Model by the P2731 Working Group: Transducer

September 8, 2021
Author(s)
Kamran Sayrafian, Guillermo Sahonero-Alvarez, Avinash Singh, Luigi Bianchi, Avid Roman-Gonzalez
A Brain-Computer Interface (BCI) can be considered as a technology that allows for alternative means of communication between humans and their environment using thoughts and intentions. The structure of this interface is composed of various stages

IoT Non-Technical Supporting Capability Core Baseline

August 25, 2021
Author(s)
Michael Fagan, Katerina N. Megas, Jeffrey Marron, Kevin Gerard Brady, Barbara Bell Cuthill, Rebecca Herold
Non-technical supporting capabilities are actions a manufacturer or third-party organization performs in support of the cybersecurity of an IoT device. This publication defines an Internet of Things (IoT) device manufacturers' non-technical supporting

Towards Deep Q-Network Based Resource Allocation in Industrial Internet of Things

June 29, 2021
Author(s)
Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
With the increasing adoption of Industrial Internet of Things (IIoT) devices, infrastructures, and supporting applications, it is critical to design schemes to effectively allocate resources (e.g., networking, computing, and energy) in IIoT systems

Deep reinforcement learning assisted energy harvesting wireless networks

May 24, 2021
Author(s)
Junliang Ye, Hamid Gharavi
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a promising approach to deal with the ever-growing traffic that can severely impact the power consumption of small-cell networks. Unfortunately, the amount of harvested energy

Atividades Fundamentais de Ciberseguranca para Fabricantes de Dispositivos IoT

March 31, 2021
Author(s)
Michael Fagan, Katerina N. Megas, Matt Smith, Karen Scarfone
Os dispositivos da Internet das Coisas (IoT) muitas vezes não possuem recursos de segurança cibernética de acordo com os dispositivos que os seus clientes — organizações e indivíduos — querem usar para ajudar a mitigar riscos de segurança cibernética. Os

Linha de Base do Nucleo de Recursos de Ciberseguranca de Dispositivos IoT

March 31, 2021
Author(s)
Michael Fagan, Katerina N. Megas, Matt Smith, Karen Scarfone
Os recursos de cibersegurança dos dispositivos são funções que os dispositivos de computação fornecem através dos seus próprios meios técnicos (ex: hardware e software do dispositivo). Esta publicação define uma linha de base dos recursos de cibersegurança

Referencia basica de las capacidades de ciberseguridad de los dispositivos de IoT

March 31, 2021
Author(s)
Michael Fagan, Katerina N. Megas, Matt Smith, Karen Scarfone
Las capacidades de ciberseguridad de dispositivo son características o funciones de ciberseguridad que los dispositivos informáticos proporcionan por sus propios medios técnicos (es decir, el hardware y el software del dispositivo). Esta publicación define

Consideraciones para la gestion de riesgos a la ciberseguridad y la privacidad de internet de las cosas (IoT)

March 29, 2021
Author(s)
Katie Boeckl, Michael Fagan, Bill Fisher, Naomi Lefkovitz, Katerina N. Megas, danna o'rourke, Karen Scarfone, Benjamin Piccarreta, Ellen Nadeau
La internet de las cosas (IoT) es un conjunto de diversas tecnologías que evolucionan y se difunden con rapidez, y que interactúan con el mundo físico. Muchas organizaciones no se dan cuenta del gran número de dispositivos de IoT que ya están utilizando

Consideracoes para Gerenciar Riscos de Privacidade e Seguranca Cibernetica na Internet das Coisas (IoT)

March 29, 2021
Author(s)
Katie Boeckl, Michael Fagan, Bill Fisher, Naomi Lefkovitz, Katerina N. Megas, Ellen Nadeau, Benjamin Piccarreta, Karen Scarfone, Danna O'Rourke
A Internet das Coisas (IoT) é uma coleção em rápida evolução e expansão de diversas tecnologias que interagem com o mundo físico. Muitas organizações não estão necessariamente cientes do grande número de dispositivos IoT que já estão usando e como eles

Towards Deep Transfer Learning in Industrial Internet of Things

February 26, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David Griffith, Nada T. Golmie
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could
Displaying 51 - 75 of 193