Firewalls have been widely used to protect not only small and local networks but also large enterprise networks. The configuration of firewalls is mainly done by network administrators, thus, it suffers from human errors. This paper aims to solve the network administrators' problem by introducing a formal approach that helps to configure centralized and distributed firewalls and automatically generate conflict-free firewall rules. We propose a novel framework, called ArgoFiCo, which is based on argumentation reasoning. Our framework automatically populates the firewalls of a network, given the network topology and the high-level requirements that represent how the network should behave. ArgoFiCo provides two strategies for firewall rules distribution.
Towards a Framework for Automatic Firewalls Configuration via Argumentation Reasoning / Karafili, E.; Valenza, F.; Chen, Y.; Lupu, E. C.. - (2020), pp. 1-4. (Intervento presentato al convegno 2020 IEEE/IFIP Network Operations and Management Symposium, NOMS 2020 tenutosi a hun nel 2020) [10.1109/NOMS47738.2020.9110399].
Towards a Framework for Automatic Firewalls Configuration via Argumentation Reasoning
Valenza F.;
2020
Abstract
Firewalls have been widely used to protect not only small and local networks but also large enterprise networks. The configuration of firewalls is mainly done by network administrators, thus, it suffers from human errors. This paper aims to solve the network administrators' problem by introducing a formal approach that helps to configure centralized and distributed firewalls and automatically generate conflict-free firewall rules. We propose a novel framework, called ArgoFiCo, which is based on argumentation reasoning. Our framework automatically populates the firewalls of a network, given the network topology and the high-level requirements that represent how the network should behave. ArgoFiCo provides two strategies for firewall rules distribution.File | Dimensione | Formato | |
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Argumentation2020.pdf
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2020NOMS_ArgoFiCo_author.pdf
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https://hdl.handle.net/11583/2837544