Um sistema autonômico multiagente baseado em ontologias para segurança em ambientes computacionais

Abstract

Computational security has become a worry among corporations. Indeed, the use of specifics tools, procedures and policies that cover requirements to keep computational and IT infrastructure protected of malicious agents has been proved necessary. In order to address the problem of protecting computational resources, in this work we propose an autonomic model called AutoCore, constituted by a Muilt-Agent system, an Intelligent Interface (CoreEditor) and a formal ontologies (CoreSec). This proposal has been implemented, tested and validated in real scenarios to assist the safety activities and to minimize the administrator complexity.