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False Positive Responses Optimization for Intrusion Detection System

False Positive Responses Optimization for Intrusion Detection System
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摘要 In Intrusion Detection Systems (IDS), the operation costs represent one of the big challenges for researchers. They are apart from the IDS cost acquisition and they comprise the costs of maintenance, administration, response, running and errors reactions costs. In the present paper, we focus on the missed reactions which include False Positive (FP) and False Negative (FN) reactions. For that a new optimization cost model is proposed for IDS. This optimization proposes a minimal interval where the IDSs work optimally. In simulation, we found this interval as a trade-off between the damage costs and the FP. In Intrusion Detection Systems (IDS), the operation costs represent one of the big challenges for researchers. They are apart from the IDS cost acquisition and they comprise the costs of maintenance, administration, response, running and errors reactions costs. In the present paper, we focus on the missed reactions which include False Positive (FP) and False Negative (FN) reactions. For that a new optimization cost model is proposed for IDS. This optimization proposes a minimal interval where the IDSs work optimally. In simulation, we found this interval as a trade-off between the damage costs and the FP.
机构地区 SIME Laboratory
出处 《Journal of Information Security》 2014年第2期19-36,共18页 信息安全(英文)
关键词 Cost Model INTRUSION Detection System False Positive False NEGATIVE Damage COSTS and OPTIMIZATION Cost Model Intrusion Detection System False Positive False Negative Damage Costs and Optimization
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