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Abstract
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| The architecture for an Automated Intrusion Response System (AIRS) has been proposed in the RECLAMO project. This system infers the most appropriate response for a given attack, taking into account the attack type, context information, and the trust of reports from IDSs. Also, it is necessary to evaluate the result of previous responses, in order to get feedback for following inferences. This paper defines an algorithm to determine the level of success of the inferred response. The objective is the design of a system with adaptive and self-learning capabilities. Neural Networks are able to provide machine learning in order to get responses classification. | |
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International
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No |
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Congress
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Primeras Jornadas Nacionales de Investigación en Ciberseguridad (JNIC) |
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960 |
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Place
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León (España) |
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Reviewers
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Si |
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ISBN/ISSN
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978-84-9773-742-5 |
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Start Date
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14/09/2015 |
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End Date
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17/09/2015 |
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From page
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39 |
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To page
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45 |
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ACTAS DE LAS PRIMERAS JORNADAS NACIONALES DE INVESTIGACIóN EN CIBERSEGURIDAD |