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A new approach of network simulation for data generation in evaluating security products

Pierre-Marie Bajan 1, 2, 3 Hervé Debar 2, 3 Christophe Kiennert 2, 3
3 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
Abstract : Evaluating a security product requires the ability to conduct tests to assert that the product reacts as expected, both in terms of scalability and semantics. However, the production of evaluation data at a large scale with a high semantic is very costly with current methods. Load tests are semantically poor and semantic tests require a testbed environment to be deployed at a large scale. Evaluation data from real world activity need to be anonymized and a compromise must be made between the request of the evaluator and the interest of the real world organization. Moreover, to evaluate the full scope of a security product, the evaluator needs multiple test methods. In this paper, we describe a new methodology to produce evaluation data with a customizable level of realism and the possibility to be deployed at a large scale with lower resource requirements for a network support than a testbed environment. Our prototype relies on this method to generate realistic activity for up to 250 simulated users interacting with a real-world webmail server.
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https://hal.archives-ouvertes.fr/hal-01901017
Contributor : Pierre-Marie Bajan <>
Submitted on : Monday, October 22, 2018 - 3:56:59 PM
Last modification on : Friday, May 29, 2020 - 3:52:03 PM
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  • HAL Id : hal-01901017, version 1

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Pierre-Marie Bajan, Hervé Debar, Christophe Kiennert. A new approach of network simulation for data generation in evaluating security products. ICIMP 2018: 13th International Conference on Internet Monitoring and Protection, Jul 2018, Barcelone, Spain. pp.35-41. ⟨hal-01901017⟩

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