Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

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Analysis of the Impacts of Flooding-Based DDoS Attacks on SDN-Enabled Cloudfeatures of SDN architecture such as packet_in count and flow table entries are missing in non-SDN datasets and therefore, the experimental results based on these datasets can’t be accurate. The major contribution of this paper is to find out the features of DDoS in SDN-enabled cloud. A benchmark da

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Advanced Network Technologies and Intelligent ComputingThird International

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https://doi.org/10.1007/978-3-8351-9020-7n improving the competitive ratio of sparse semi-oblivious routing. Through proficiently responding to changes in traffic patterns with our path selections, we have opened up a road to more streamlined routing strategies. Our breakthrough lies in the mastery of SSA’s capabilities..Empirical evidence

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Grundlagen der Onpage-Optimierungon abilities of 1D Convolutional Neural Networks (CNNs) with the classification skills of Random Forest (RF) and Multi-layer Perceptron (MLP) classifiers. Using the CIC-DDoS2019 dataset, we perform multiclass classification of various DDoS attacks and conduct a comparative analysis of evaluation met

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,Interférences, diffraction et polarisation,col parameters and features, IoT-related characteristics, and cost requirements for deployment in Smart Agriculture. Three popular LPWAN protocols—Sigfox, LoRaWAN, and NB-IoT—provide a complete description of their technical characteristics needed for the application and have been compared regarding