In the rapidly developing field of information technology today, the optimization of neural network algorithms has become a common focus of attention in both academia and industry. Especially when dealing with complex...
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Software-Defined Network(SDN)decouples the control plane of network devices from the data *** alleviating the problems presented in traditional network architectures,it also brings potential security risks,particularl...
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Software-Defined Network(SDN)decouples the control plane of network devices from the data *** alleviating the problems presented in traditional network architectures,it also brings potential security risks,particularly network Denial-of-Service(DoS)*** many research efforts have been devoted to identifying new features for DoS attack detection,detection methods are less accurate in detecting DoS attacks against client hosts due to the high stealth of such *** solve this problem,a new method of DoS attack detection based on Deep Factorization Machine(DeepFM)is proposed in ***,we select the Growth Rate of Max Matched Packets(GRMMP)in SDN as detection ***,the DeepFM algorithm is used to extract features from flow rules and classify them into dense and discrete features to detect DoS *** training,the model can be used to infer whether SDN is under DoS attacks,and a DeepFM-based detection method for DoS attacks against client host is *** results show that our method can effectively detect DoS attacks in *** with the K-Nearest Neighbor(K-NN),Artificial Neural Network(ANN)models,Support Vector Machine(SVM)and Random Forest models,our proposed method outperforms in accuracy,precision and F1 values.
Diffusive Molecular Communication (DMC) as a framework for modeling bacterial propagation within biological environments. DMC, a subset of Molecular Communication (MC), allows us to study how bacteria transmit signals...
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Efficient power management in smart grids relies on regularly obtaining the electricity usage of each user. However, the aggregation of the electricity usage data may expose user privacy. At present, most existing sol...
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This paper presents a method for pulmonary nodule detection in CT images based on an improved YOLOv8 framework. Against the backdrop of current deep learning technologies, automated detection and segmentation of medic...
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Prediction of high performance concrete (HPC) compressive strength is very important for determination of mix design optimization and structural reliability. An integrated deep learning framework, together with a Baye...
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Optimized Path planning plays a significant role in enabling autonomous operation of Unmanned Aerial Vehicles (UAVs). Finding the shortest path is one of many NP-hard problems for which metaheuristic algorithms have s...
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The accelerating spread of junk food consumption is progressively putting the younger generations at risk of obesity. The concept of health prioritization is deeply rooted in the development of nurturing and general w...
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As new computing paradigms such as mobile grids and clouds become more commonplace, mobile devices are becoming increasingly attractive to scientists and HPC users who need high-performance computing capabilities. The...
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Federated getting to know (FL) is a gadget studying generation which allows a user to train a single model across more than one dispensed system, with none of the person systems having to transfer the statistics sets,...
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