Titlebook: Computational Intelligence in Security for Information Systems 2010; Proceedings of the 3 Álvaro Herrero,Emilio Corchado,Ángel Alonso Confe

拥挤前

needle

Semi-supervised Fingerprinting of Protocol Messagesnown and labeled data in order to assist a clustering process. We propose two different fingerprinting approaches. The first one is using behavioral features that are induced from a protocol state machine. The second one is relying on the underlying parse trees of messages. Both approaches are passi

BOOST

Monitoring of Spatial-Aggregated IP-Flow Recordslecting a subset of flow related information that summarizes communication endpoints, volume, status and time parameters. Commonly known as NetFlow records, the recent development of a standardized protocol and data format, as well as the support from all major vendors, did make the processing, coll

staging

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A Threat Model Approach to Threats and Vulnerabilities in On-line Social Networkseral security issues. Despite privacy concerns begin to emerge, there are still other dangerous vulnerabilities that affect security and threaten organisations and users assets. In this paper, we present the first Threat Modelling approach in Online Social Networks that intends to identify the threa

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https://doi.org/10.1007/978-3-642-16626-6Multi-agent system; Ontologie; Transport; agents; computational intelligence; data mining; database; enviro

FLIRT

WAX

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Face Processing for Security: A Short Reviewtion is the first step for the face recognition systems, posing its own challenges. Face recognition is essentially a classification problem, which can be a large multiclass problem. The emphasis in this paper is the of review the different computational approaches instead of the concrete applications.

tooth-decay

Wissenschaftstheoretischer Exkurs,lue in large datasets. Clustering is a principal data discovery technique in data mining that segregates a dataset into subsets or clusters so that data values in the same cluster have some common characteristics or attributes. A number of clustering techniques have been proposed in the past by many