Titlebook: International Joint Conference 16th International Conference on Computational Intelligence in Securi; Proceedings Pablo García Bringas,Hild

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脫離

巨大沒有

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fructose

Prediction of Water Usage for Advanced Metering Infrastructure Network with Intelligent Water Metersater meters. In the first step of the algorithm time series are passed to outlier detection in order to remove possible disturbing values. The prediction process is carried out with the use of four types of machine learning and deep learning algorithms. The proposed solution based on real world univ

IRS

Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Samplinge URLs is challenging, as attackers constantly evolve their tactics. Few-shot learning has emerged as a promising approach for learning from limited data, making it ideal for the task of phishing URL detection. In this paper, we propose a prototypical network (DPN) disentangled by triplet sampling t

性別

Finding and?Removing Infected ,-Trees in?IoT Networksveryday processes can be automated. This is possible because of the large number of devices that are available. However, one of the main challenges is securing all these devices due to the proliferation of malware aimed at manipulating data or even creating botnets attacking other sensor networks. I

空洞

Critical Analysis of?Global Models for?Malware Propagation on?Wireless Sensor Networkse global and unrealistic models that do not properly consider the characteristics of malware specimens and networks. In this paper a small critical analysis of this fact is carried out using the MDBCA model as an example. This study is illustrated with an improved model proposal.

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Ganglion-Cyst