Zobrazeno 1 - 10
of 125 276
pro vyhledávání: '"IoT"'
Publikováno v:
南方能源建设, Vol 11, Iss 4, Pp 1-15 (2024)
[Introduction] The new generation of the Internet of Things (IoT) is being fostered in the era of Internet of Everything (IoE), realizing its diverse development by selecting and combining new information, functions, and applications. The Energy Inte
Externí odkaz:
https://doaj.org/article/683ffaea02f54796aedb706a66c5a6ed
Publikováno v:
Communications in Science and Technology, Vol 9, Iss 1, Pp 153-160 (2024)
In the rapidly growing and increasingly complex Internet of Things (IoT) ecosystem, securing communication and data exchanges between devices is a major concern. To address this, we proposed QS-Trust, a trust-based security model considering both Qua
Externí odkaz:
https://doaj.org/article/7b04f6084b124bcf949bd1b6b77821e7
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 519-552 (2024)
While the spreading of the Internet of Things continues beyond expectations, the security of networking technologies used in this context remains an open issue. This paper provides a comprehensive overview of the state of the art on the security of L
Externí odkaz:
https://doaj.org/article/e03cd0208ace49c6ac7135a76aa32eb1
Publikováno v:
Guangtongxin yanjiu, Pp 23004201-23004207 (2024)
【Objective】In the Low Earth Orbit (LEO) satellite Internet of Things (IoT) scenario, the time delay and power consumption requirements of Narrowband (NB) -IoT terminal in wide coverage area vary due to different business scenarios. However, the g
Externí odkaz:
https://doaj.org/article/e770763c22644272be6ab72d9f4e7717
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no human intervention. IoT enables data aggregation and analysi
Externí odkaz:
https://doaj.org/article/301ee7199d0f4367aebd76351da9ca59
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Using deep learning models to deal with the classification tasks in network traffic offers a new approach to address the imbalanced Internet of Things malicious traffic classification problems. However, the employment difficulty of these mod
Externí odkaz:
https://doaj.org/article/43658439a54042a880af8f5095bf1a3f
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 9, pp. 1928-1949.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-10-2023-0582
The impact of Industry 4.0 technologies on the resilience of established cross- border supply chains
Autor:
Brookbanks, Mike, Parry, Glenn C.
Publikováno v:
Supply Chain Management: An International Journal, 2024, Vol. 29, Issue 4, pp. 731-754.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SCM-07-2023-0333
Publikováno v:
Modern Supply Chain Research and Applications, 2024, Vol. 6, Issue 2, pp. 122-145.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MSCRA-01-2023-0005