CRJan 31, 2019

Quantifiable & Comparable Evaluations of Cyber Defensive Capabilities: A Survey & Novel, Unified Approach

arXiv:1902.00053v3
Originality Incremental advance
AI Analysis

This work addresses the need for a standardized evaluation method in cybersecurity, bridging gaps between intrusion detection, cyber exercises, and economic analysis communities, though it is incremental in integrating existing metrics.

The paper tackles the problem of quantifiably assessing cyber defensive capabilities by providing a survey of existing evaluation methods and proposing a novel, unified framework that incorporates accuracy, time, and monetary costs. The framework is demonstrated with two real-world examples, offering a flexible and interpretable approach applicable across three distinct research communities.

Metrics and frameworks to quantifiably assess security measures have arisen from needs of three distinct research communities - statistical measures from the intrusion detection and prevention literature, evaluation of cyber exercises, e.g.,red-team and capture-the-flag competitions, and economic analyses addressing cost-versus-security tradeoffs. In this paper we provide two primary contributions to the security evaluation literature - a representative survey, and a novel framework for evaluating security that is flexible, applicable to all three use cases, and readily interpretable. In our survey of the literature we identify the distinct themes from each community's evaluation procedures side by side and flesh out the drawbacks and benefits of each. The evaluation framework we propose includes comprehensively modeling the resource, labor, and attack costs in dollars incurred based on expected resource usage, accuracy metrics, and time. This framework provides a unified approach in that it incorporates the accuracy and performance metrics, which dominate intrusion detection evaluation, the time to detection and impact to data and resources of an attack, favored by educational competitions' metrics, and the monetary cost of many essential security components used in financial analysis. Moreover, it is flexible enough to accommodate each use case, easily interpretable and comparable, and comprehensive in terms of costs considered.Finally, we provide two examples of the framework applied to real-world use cases. Overall, we provide a survey and a grounded, flexible framework with multiple concrete examples for evaluating security which can address the needs of three currently distinct communities.

Foundations

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