04b Atto di convegno in volume
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We investigate the problem of estimating on the fly the frequency at which items recur in large scale distributed data streams, which has become the norm in cloud-based application. This paper presents CASE, a combination of tools and probabilistic algorithms from the data streaming model. In this...
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We consider the problem of identifying global iceberg attacks in massive and physically distributed streams. A global iceberg is a distributed denial of service attack, where some elements globally recur many times across the distributed streams, but locally, they do not appear as a deny of service...
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In this paper, we consider the sliding window model and propose two different (on-line) algorithms that approximate the items frequency in the active window. More precisely, we determine a (ϵ, δ)-additive-approximation meaning that the error is greater than ϵ only with probability δ. These...