Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Chuanhuang LI"'
Publikováno v:
Dianxin kexue, Vol 40, Pp 22-37 (2024)
With the rapid integration and development of industrial control and information networks, time-sensitive networks based on ethernet have received widespread attention.In these networks, time-triggered communication scheduling is adopted to ensure th
Externí odkaz:
https://doaj.org/article/2ce49aa5a74247288e57cfd8c5c56319
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2023, Iss 1, Pp 1-18 (2023)
Abstract We consider a fundamental file dissemination problem in a two-hop relay-based heterogeneous network consisting of a macro base station, a half-duplex relay station, and multiple users. To minimize the dissemination delay, rateless code is em
Externí odkaz:
https://doaj.org/article/9ef05331763b4334bcad053a1d9baf24
Publikováno v:
Dianxin kexue, Vol 38, Pp 101-112 (2022)
Faced with the problem that static and lagging traditional defense technologies cannot effectively deal with new network attacks, according to the theory of mimetic security defense, a defense architecture of mimic service function chain (MSFC) based
Externí odkaz:
https://doaj.org/article/f91c3752f63a48e5a7da5e4b624c5724
Publikováno v:
Dianxin kexue, Vol 38, Pp 143-157 (2022)
There are some problems in the traditional network performance prediction technology, such as incomplete network state acquisition and poor accuracy of network performance evaluation.Combined with the characteristics of graph neural network learning
Externí odkaz:
https://doaj.org/article/b518ea3dd8f14e189d9b981d1821ae23
Autor:
Chuanhuang LI, Yangting CHEN, Jingjing TANG, Jiali LOU, Renhua XIE, Chuntao FANG, Weiming WANG, Chao CHEN
Publikováno v:
Tongxin xuebao, Vol 43, Pp 131-142 (2022)
Aiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the
Externí odkaz:
https://doaj.org/article/fdd93ac82d5f4a5d960fcd6a54147041
Publikováno v:
IEEE Access, Vol 8, Pp 199187-199196 (2020)
Lens antenna arrays have become attractive for mmWave MIMO systems due to their energy-focusing and path-division properties. However, when the signals cannot be well differentiated at different array elements due to their similar incident angles, we
Externí odkaz:
https://doaj.org/article/82d43a668ea347378cb628fae66326f8
Publikováno v:
Tongxin xuebao, Vol 39, Pp 176-187 (2018)
Software defined network (SDN) is a new kind of network technology,and the security problems are the hot topics in SDN field,such as SDN control channel security,forged service deployment and external distributed denial of service (DDoS) attacks.Aimi
Externí odkaz:
https://doaj.org/article/2bde5a4672f34afea9e0f6021841c624
Publikováno v:
Dianxin kexue, Vol 33, Pp 27-36 (2017)
In OpenFlow-based SDN(software defined network),applications can be deployed through dispatching the flow polices to the switches by the application orchestrator or controller.Policy conflict between multiple applications will affect the actual forwa
Externí odkaz:
https://doaj.org/article/72966143fa34406d97fbc135920b7094
Publikováno v:
Dianxin kexue, Vol 33, Pp 53-65 (2017)
Distributed denial of service (DDoS) is a special form of denial of service (DoS) attack based on denial of service(DoS).It is a distributed,collaborative large-scale network attack.A DDoS detection method based on deep learning was presented.The met
Externí odkaz:
https://doaj.org/article/95f23c8c6fe243fb96d484bb93cd0fda
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-12
In recent years, as a new subject in the computer field, artificial intelligence has developed rapidly, especially in reinforcement learning (RL) and deep reinforcement learning. Combined with the characteristics of Software Defined Network (SDN) for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec059a02e925aca3000ba2fe93d3cc9b
https://doi.org/10.1155/2022/5124960
https://doi.org/10.1155/2022/5124960