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

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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Contributor : Pierre-Marie Bajan Connect in order to contact the contributor
Submitted on : Monday, October 22, 2018 - 3:56:59 PM
Last modification on : Friday, November 6, 2020 - 6:06:01 PM
Long-term archiving on: : Wednesday, January 23, 2019 - 4:46:50 PM


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  • HAL Id : hal-01901017, version 1


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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