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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Communication dans un congrès
ICIMP 2018, The Thirteenth International Conference on Internet Monitoring and Protection, Jul 2018, Barcelone, Spain. ICIMP 2018, The Thirteenth International Conference on Internet Monitoring and Protection, 2018
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Dernière modification le : dimanche 4 novembre 2018 - 22:13:02

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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, The Thirteenth International Conference on Internet Monitoring and Protection, Jul 2018, Barcelone, Spain. ICIMP 2018, The Thirteenth International Conference on Internet Monitoring and Protection, 2018. 〈hal-01901017〉

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