Titlebook: Cyber Warfare, Security and Space Research; First International Sandeep Joshi,Amit Kumar Bairwa,Cem Avsar Conference proceedings 2022 The

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,Privacy Preserving of?Two Local Data Sites Using Global Random Forest Classification,l random forest classifier. The process has two phases from local random forest to global random forest. The aim was to build a final global random forest by aggregating local random forests of local or individual parties based on voting between parties. In this work there are two proposed algorithm

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,Privacy Preserving and?Secured Clustering of?Distributed Data Using Self Organizing Map, model. Adopting neural network learning for privacy preserving of data has became very much promising approach. In this paper we adopt self organizing map (SOM) neural network trained in order to preserve the privacy of data of two different parties, in combined environment to perform combined clus

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,Practical Phase Shift Model for?RIS-Assisted D2D Communication Systems,tem, and this is often being ignored in many existing works. We proposed a phase shift optimization using local search technique upon the aforementioned practical model. Simulation results show that the RIS-assisted D2D networks proof to be effective by maximizing the sum rate of the system.