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Communication Dans Un Congrès Année : 2023

A Robust Approach for the Detection and Prevention of Conflicts in I2NSF Security Policies

Résumé

In order to maintain a sufficient protection level of their infrastructure, automating security management is at the core of current operators issues. The Interface to Network Security Function (I2NSF) is a framework that takes part of the Intent-Based Networking (IBN) paradigm. It consists of automating the translation of high-level policies into low-level configurations of Network Security Functions (NSF) and appears as a promising way to overcome the complexity of this challenging task. However, if the I2NSF framework provides a comprehensive architectural and data model for such an automation, it provides neither detection nor prevention mechanisms against conflicting security requirements. In this paper, we assess to what extent state-of-the-art mechanisms can shift the initial I2NSF proposal toward a robust framework. As such, we extend (1) the reference architecture to integrate some checking components and (2) the consumer-facing data model to enforce separation constraints and partial ordering relationships. By considering a large set of rules and conflicting situations, we evaluate the performance of our solution within an early implementation of I2NSF achieved in an IETF Hackathon.
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Dates et versions

hal-04223371 , version 1 (29-09-2023)

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Citer

Do Duc Anh Nguyen, Fabien Autrel, Ahmed Bouabdallah, Guillaume Doyen. A Robust Approach for the Detection and Prevention of Conflicts in I2NSF Security Policies. NOMS 2023: IEEE/IFIP Network Operations and Management Symposium, May 2023, Miami, United States. pp.1-7, ⟨10.1109/NOMS56928.2023.10154304⟩. ⟨hal-04223371⟩
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