灰尘 发表于 2025-3-21 17:18:07
书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0229415<br><br> <br><br>书目名称Collaborative Computing: Networking, Applications and Worksharing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0229415<br><br> <br><br>Respond 发表于 2025-3-21 20:54:22
Homonegativity within Medicine,r SCADA. We urgently need an effective SCADA risk assessment algorithm to quantify the value at risk. However, traditional algorithms have the shortcomings of excessive parsing variables and inefficient sampling. Existing improved algorithms are far from the optimal distribution of the sampling dens敲竹杠 发表于 2025-3-22 02:57:15
http://reply.papertrans.cn/23/2295/229415/229415_3.pngcritique 发表于 2025-3-22 07:24:38
https://doi.org/10.1007/b136519 of distributed learning framework, enables data providers to train models locally to protect privacy. It solves the problem of privacy leakage of data by enabling multiple parties, each with their training dataset, to share the model instead of exchanging private data with the server side. However,BILL 发表于 2025-3-22 09:24:29
https://doi.org/10.1007/b136519d, the communication privacy is difficult to be hidden. Existing anonymous systems sacrifice anonymity for efficient communication, or vice versa. In this paper, we present ., an efficient messaging system which leverages a two-layer framework to provide tracking-resistance. The first layer is the .骂人有污点 发表于 2025-3-22 16:06:54
http://reply.papertrans.cn/23/2295/229415/229415_6.png骂人有污点 发表于 2025-3-22 20:41:20
http://reply.papertrans.cn/23/2295/229415/229415_7.png铺子 发表于 2025-3-22 22:36:19
https://doi.org/10.1007/b136519ting resources on demand. However, security of edge computing service is still a major concern. This paper proposes an edge computing resource allocation mechanism based on dynamic trust. First, security problems due to lack of reliability in the resource allocation process are solved based on the tdiathermy 发表于 2025-3-23 04:56:30
http://reply.papertrans.cn/23/2295/229415/229415_9.pngosteocytes 发表于 2025-3-23 05:53:25
https://doi.org/10.1007/b136519affic. On the contrary, ML-based classifiers introduce adversarial example attacks, which can fool the classifiers into giving wrong outputs with elaborately designed examples. Some adversarial attacks have been proposed to evaluate and improve the robustness of ML-based traffic classifiers. Unfortu