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Uma Ontologia para Mitigar XML Injection

Thiago M. RosaAltair O. SantinAndreia Malucelli

The underlying technologies used by web services bring well-known vulnerabilities from other domains to this new environment. Anomaly-based intrusion detection approaches produce high false positive rates, while signature-based intrusion detection approaches do not detect attack variations. This paper presents a novel hybrid attack detection engine that brings together the main advantages of these classical detection approaches. An ontology is applied as a strategy-based knowledge-base to assist mitigatingXML injection attacks, while maintaining low false positive detection rates.

http://www.lbd.dcc.ufmg.br/colecoes/sbseg/2011/0012.pdf

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