Abstract | ||
---|---|---|
Automated policy-based network security management tools represent a new research frontier to be fully explored, so as to reduce the number of human errors due to a manual and suboptimal configuration of security services. Moreover, the agility that an automated tool would require can be provided by the most recent networking technologies, Network Functions Virtualization and Software-Defined Networking, which move the network management from the hardware level to the software. However, even though a Security Automation approach is nowadays feasible and would bring several benefits in facing cybersecurity attacks, pending problems are that currently only a limited number of automatic management tools have been developed and that they do not have a direct integration with cloud orchestrators, consequently requiring human interaction. Given these considerations, in this paper we propose a novel framework, whose goal is to automatically and optimally allocate and conFigure security functions in a virtualized network service in a formal and verified way, directly integrated in cloud orchestrators. We validated this contribution through an implementation that is able to cooperate with two well-known orchestrators, that are Open Baton and Kubernetes. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/CCCS.2019.8888130 | 2019 4th International Conference on Computing, Communications and Security (ICCCS) |
Keywords | Field | DocType |
network security optimization,network security orchestration,cloud security,network functions virtualization | Network service,Computer science,Network security,Automation,Software,Cloud computing security,Network management,Orchestration (computing),Distributed computing,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-0876-6 | 0 | 0.34 |
References | Authors | |
20 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniele Bringhenti | 1 | 3 | 2.08 |
Guido Marchetto | 2 | 86 | 20.64 |
Riccardo Sisto | 3 | 556 | 56.79 |
Fulvio Valenza | 4 | 54 | 11.17 |
Jalolliddin Yusupov | 5 | 3 | 2.07 |