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Evaluation of Intrusion Detection Systems.

Jacob W Ulvila¹, John E Gaffney²

¹Decision Science Associates, Inc., Vienna, VA 22818.

Journal of Research of the National Institute of Standards and Technology

|July 15, 2016

Summary

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This study introduces a novel method for evaluating intrusion detection systems (IDSs) by integrating ROC and cost analysis. The approach determines optimal IDS operation based on expected costs, considering mistake costs and intrusion probability.

Area of Science:

Cybersecurity
Computer Science
Information Security

Background:

Intrusion Detection Systems (IDSs) are crucial for network security.
Existing evaluation methods like ROC analysis have limitations.
A unified metric is needed to assess IDS performance under varying conditions.

Purpose of the Study:

To develop a comprehensive method for evaluating Intrusion Detection Systems (IDSs).
To integrate Receiver Operating Characteristic (ROC) analysis with cost-benefit analysis.
To establish an expected cost metric for optimal IDS operation.

Main Methods:

Integration and extension of ROC and cost analysis.
Development of an expected cost metric.
Representation of compound IDSs as equivalent single systems.

Keywords:

Bayesian statistics computer security decision analysis intrusion detection receiver operating characteristic (ROC)software evaluation

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Main Results:

The proposed method determines the optimal operating point for single and combined IDSs.
Evaluation of IDSs based on expected cost, considering mistake costs and intrusion likelihood.
A method for simplifying compound IDS evaluation.

Conclusions:

The expected cost metric provides a robust framework for IDS evaluation.
The method aids system administrators and IDS designers in optimizing security.
This approach facilitates informed decisions regarding IDS deployment and configuration.