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When monitoring unsolicited network traffic automated detection and characterization of abrupt changes in the traffics statistical properties is important. These abrupt changes can either be due to a single or multiple anomalous activities taking place at the same time. The start of a new anomalous activity while another anomalous activity is in operation will result in a new change nested within...
Honeypots are flexible security tools for gathering artefacts associated with a variety of Internet attack activities. While existing work on honeypot traffic analysis focuses mainly on identifying existing attacks, this paper describes a technique for detecting new attacks based on principal component analysis. The proposed technique requires no prior knowledge of attack types and has low computational...
We investigate a new phase-matching scheme for pure state photon pair generation in birefringent photonic crystal fibres. We demonstrate 80% visibility non-classical interference between unfiltered photons coming from non-degenerate pairs and created in separate sources.
Monitoring Internet traffic is critical in order to acquire a good understanding of threats and in designing efficient security systems. While honeypots are flexible security tools for gathering intelligence of Internet attacks, traffic collected by honeypots is of high dimensionality that makes it difficult to characterize. In this paper, we propose the use of principal component analysis, a multivariate...
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