Zobrazeno 1 - 10
of 5 995
pro vyhledávání: '"IIOT"'
Autor:
More, Anjali, Rana, Dipti
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 4, pp. 525-541.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-02-2022-0034
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-20 (2024)
Abstract Internet of Things (IoT) platforms have become the building blocks of any automated system but they are more important in case of industrial systems where sensitive data are captured and handled by the information system. Therefore, it is im
Externí odkaz:
https://doaj.org/article/fbcb62297f754281be8477ebd3f6af61
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract In recent years, with the application of Internet of Things (IoT) and cloud technology in smart industrialization, Industrial Internet of Things (IIoT) has become an emerging hot topic. The increasing amount of data and device numbers in IIo
Externí odkaz:
https://doaj.org/article/7110697358604670abb48b17b2a70957
Autor:
Pavle Dakic, Miodrag Zivkovic, Luka Jovanovic, Nebojsa Bacanin, Milos Antonijevic, Jelena Kaljevic, Vladimir Simic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract The integration of IoT systems into automotive vehicles has raised concerns associated with intrusion detection within these systems. Vehicles equipped with a controller area network (CAN) control several systems within a vehicle where disru
Externí odkaz:
https://doaj.org/article/82999c8fbfba4925941f1e4f742f1ff2
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 414-422 (2024)
Due to its outstanding privacy-related characteristics, Federated Learning (FL) has recently become a popular solution for the IIoT’s data privacy and scalability issues. However, more research is needed to determine how unique streaming data in II
Externí odkaz:
https://doaj.org/article/24a5318071a04511ac0e45e77aa2bccb
Autor:
Saabye, Henrik, Powell, Daryl John
Publikováno v:
International Journal of Lean Six Sigma, 2022, Vol. 15, Issue 5, pp. 968-996.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLSS-01-2022-0017
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Traditional security detection methods face challenges in identifying zero-day attacks in critical infrastructures (CIs) integrated with the industrial internet of things (IIoT). These attacks exploit unknown vulnerabilities and are difficul
Externí odkaz:
https://doaj.org/article/45f1b91d4d234ce399f4a3c32e90098f
Publikováno v:
Rekayasa Mesin, Vol 15, Iss 2, Pp 771-781 (2024)
In many industrial settings, there are several problems that can arise during the production process. These include machine breakdowns, quality issues, and unexpected delays, which can impact productivity, reduce overall efficiency, and result in low
Externí odkaz:
https://doaj.org/article/2251556a92734f329ab59df8119797d3
Autor:
Khalid Mahmood, Salman Shamshad, Muhammad Asad Saleem, Rupak Kharel, Ashok Kumar Das, Sachin Shetty, Joel J.P.C. Rodrigues
Publikováno v:
Journal of Advanced Research, Vol 62, Iss , Pp 155-163 (2024)
Introduction:: The Industrial Internet of Things (IIoT) is a technology that connects devices to collect data and conduct in-depth analysis to provide value-added services to industries. The integration of the physical and digital domains is crucial
Externí odkaz:
https://doaj.org/article/3235ab1404b948e2b98899bced1e1ad0
Publikováno v:
Network, Vol 4, Iss 3, Pp 260-294 (2024)
Persistent security challenges in Industry 4.0 due to the limited resources of IoT devices necessitate innovative solutions. Addressing this, this study introduces the ASCON algorithm for lightweight authenticated encryption with associated data, enh
Externí odkaz:
https://doaj.org/article/7338f9d42dd8459b9c8343c0b8fc0e98