宽大 发表于 2025-3-25 03:59:01
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of OPS. We describe some empirical evaluations of iPerfOPS and discuss some of the practical implementation details required to achieve high performance. iPerfOPS shows that it is possible, within one tool, to classify the background network protocols such that high throughput and fairness are achiLAVE 发表于 2025-3-25 12:51:06
d to online stores in e-commerce, 2) a scalable and efficient method that uses Neural Networks (NN) for resource prediction in order to adapt to the large number of customers and the growing demand in this era of Big Data. The IBN architecture provides automation, flexibility and unlike Software Defcapillaries 发表于 2025-3-25 15:57:47
Wolfgang Härdlea class balanced training set from the BiosecurID dataset, using a best vs 1 reference signature selection scheme, the proposed hybrid model outperforms previous methods, achieving Equal Error Rates of 5.17 and 2.64 for skilled and random signature cases, respectively.迅速飞过 发表于 2025-3-25 20:59:08
Wolfgang Härdlefficiently process sequential SIP traffic data in real time, identifying attack patterns effectively. The GRU’s ability to capture temporal dependencies enhances accuracy in classifying and detecting attack behaviors. The results demonstrate that the framework can effectively detect and mitigate INVexhilaration 发表于 2025-3-26 02:06:32
http://reply.papertrans.cn/87/8692/869163/869163_26.pngformula 发表于 2025-3-26 06:42:32
http://reply.papertrans.cn/87/8692/869163/869163_27.pngabreast 发表于 2025-3-26 12:27:08
flows (an aggregation flow is a flow set that includes all flows flowing from the same source edge switch to the same destination edge switch) instead of a single flow. In order to test performance of RILNET, we propose a flow-level simulation and a packet-level simulation, and the both results sho财政 发表于 2025-3-26 13:31:32
http://reply.papertrans.cn/87/8692/869163/869163_29.png宇宙你 发表于 2025-3-26 18:41:13
Wolfgang Härdle-UCB and D-UCB are integrated into Contiki-NG, yet can also be used out-of-tree in a simulation environment. We show our SW-UCB (resp. D-UCB) implementation to attain PDRs of 98.6% (resp. 99.2%) under appropriate parameter settings in the context of intra-body communication. Also, we demonstrate D-U