Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Zhenhu Ning"'
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 1477-1488 (2021)
Security of sensing network is the core of the security of the Internet of Things (IoT). The available researches cannot guarantee to prevent attacks from malicious nodes. We propose a trusted measurement scheme of behaviors for IoT. First, we constr
Externí odkaz:
https://doaj.org/article/2363316b4b7d42f1ab147b4431166d65
Publikováno v:
Future Generation Computer Systems. 145:354-366
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8535ef3eb6c2c47987096884d40dc9ff
https://doi.org/10.1016/j.future.2023.03.042
https://doi.org/10.1016/j.future.2023.03.042
Autor:
Zhenhu Ning, Guangquan Xu, Naixue Xiong, Yongli Yang, Changxiang Shen, Emmanouil Panaousis, Hao Wang, Kaitai Liang
Publikováno v:
IEEE Access, Vol 7, Pp 30112-30125 (2019)
In the Internet of Things, based on the collaboration of sensing nodes, sensing data are collected and transmitted. The collaboration of sensing nodes also plays an important role in the safeguard of the Internet of Things. Owing to the limited abili
Externí odkaz:
https://doaj.org/article/055f5bad5b974be0a73473f03a82eccd
Publikováno v:
Intelligent Automation & Soft Computing. 36:981-996
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f2775f00cb859b05076109665714ab7
https://doi.org/10.32604/iasc.2023.030091
https://doi.org/10.32604/iasc.2023.030091
Publikováno v:
Computers, Materials & Continua. 74:3931-3943
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c27c9eb923843148d47e71e9728c014d
https://doi.org/10.32604/cmc.2023.029711
https://doi.org/10.32604/cmc.2023.029711
Publikováno v:
KSII Transactions on Internet & Information Systems; Oct2023, Vol. 17 Issue 10, p2658-2681, 24p
Publikováno v:
IEEE Transactions on Fuzzy Systems. 29:3665-3675
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30437f3f2ace13409495f46081f19b40
https://doi.org/10.1109/tfuzz.2021.3089230
https://doi.org/10.1109/tfuzz.2021.3089230
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:2747-2759
In compressed sensing applications, self-learning generative models have attracted increasing attention because they provide guarantees that are similar to those of standard compressed sensing without employing sparsity. However, improving the perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d219a36c9bf84841f1ac4bf7ecfec42
https://doi.org/10.1007/s13042-021-01337-1
https://doi.org/10.1007/s13042-021-01337-1
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55e4894061cf06746d174c6c91e56e8
https://doi.org/10.1002/cpe.7238
https://doi.org/10.1002/cpe.7238
Publikováno v:
2022 14th International Conference on Communication Software and Networks (ICCSN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b318cc0b65ed439db48a171620f7edbb
https://doi.org/10.1109/iccsn55126.2022.9817607
https://doi.org/10.1109/iccsn55126.2022.9817607