Titlebook: Computational Intelligence for Privacy and Security; David A. Elizondo,Agusti Solanas,Antoni Martinez-B Book 2012 Springer Berlin Heidelbe

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Competition in Closed-Loop Supply Chainsnetic algorithms (GA) have been shown to be able to find good solutions to the microaggregation problem for small, multivariate data sets. However, due to the very nature of the problem, GA can hardly cope with large, multivariate data sets. With the aim to apply them to large data sets, those have

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Competition in Closed-Loop Supply Chainsvacy risk to published perturbed data because the majority of the noise can be effectively removed. The results show that a naive adversary is able to remove around 90% of the noise added during perturbation using general-purpose data miners from the Weka software package, and an informed expert adv

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https://doi.org/10.1007/978-3-540-38908-8ce of code or binary under inspection contains a particular malware. Malware variants of a particular malware family show very high similarity scores (over 85%). Interestingly Trojans and hacking tools have high similarity scores with other Trojans and hacking tools..Our results also show that malwa

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协迫

Breaching Privacy Using Data Mining: Removing Noise from Perturbed Data,vacy risk to published perturbed data because the majority of the noise can be effectively removed. The results show that a naive adversary is able to remove around 90% of the noise added during perturbation using general-purpose data miners from the Weka software package, and an informed expert adv

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Computational Intelligence for Privacy and Security

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