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- W2110369110 abstract "Autonomic computing has become an important paradigm for dealing with large scale network management. However, changes operated by administrators and self-governed entities may generate vulnerable configurations increasing the exposure to security attacks. In this paper, we propose a novel approach for supporting collaborative treatments in order to remediate known security vulnerabilities in autonomic networks and systems. We put forward a mathematical formulation of vulnerability treatments as well as an XCCDF-based language for specifying them in a machine-readable manner. We describe a collaborative framework for performing these treatments taking advantage of optimized algorithms, and evaluate its performance in order to show the feasibility of our solution." @default.
- W2110369110 created "2016-06-24" @default.
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- W2110369110 date "2012-10-22" @default.
- W2110369110 modified "2023-10-16" @default.
- W2110369110 title "Collaborative Remediation of Configuration Vulnerabilities in Autonomic Networks and Systems" @default.
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