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We propose a scalable intrusion detection solution, which can be used by cloud providers to protect the federated cloud infrastructure, as well as offered to ...
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In this paper, we describe some potential vulnerabilities of a publish-subscribe based federated cloud system. In particular, we propose an agent-based system ...
In this paper, we investigate the key research topics for supporting distributed intrusion detection in a federated cloud environment. We propose a scalable ...
Federated Cloud environments, and Cloud Service Providers will benefit significantly if there is a comprehensive intrusion detection methodology that evolves ...
In this paper, we investigate the key research topics for supporting distributed intrusion detection in a federated cloud environment. We propose a scalable ...
Sep 8, 2016 · In this paper, we investigate the key research topics for supporting distributed intrusion detection in a federated cloud environment. We ...
Researchers proposed a Federated Learning (FL) intrusion detection scheme that decentralizes the training of the IDS model implemented on the individual ...
(2016) 'Intrusion detection in federated clouds', Int. J. Computational Science and Engineering,. Vol. 13, No. 3, pp.219–232. Biographical notes: Massimo ...
Oct 19, 2023 · In this paper, using Linear Sigmoid Singleton Deep Neural Network (LS2DNN)with Pearson correlation and Brownian motion induced K-Anonymity (PBKA) ...
Aug 17, 2024 · Federated Learning is an effective solution to address the issues of data isolation and privacy leakage in machine learning.
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