Building a Cybersecurity Risk Metamodel for Improved Method and Tool Integration

Christophe Ponsard
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Abstract

Nowadays, companies are highly exposed to cyber security threats. In many industrial domains, protective measures are being deployed and actively supported by standards. However the global process remains largely dependent on document driven approach or partial modelling which impacts both the efficiency and effectiveness of the cybersecurity process from the risk analysis step. In this paper, we report on our experience in applying a model-driven approach on the initial risk analysis step in connection with a later security testing. Our work rely on a common metamodel which is used to map, synchronise and ensure information traceability across different tools. We validate our approach using different scenarios relying domain modelling, system modelling, risk assessment and security testing tools.
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建立网络安全风险元模型以改进方法和工具集成
如今,企业极易受到网络安全威胁。在许多行业领域,保护措施正在部署,并得到标准的积极支持。然而,全球流程在很大程度上仍然依赖于文档驱动方法或部分建模,这影响了从风险分析步骤开始的网络安全流程的效率和效果。在本文中,我们报告了在与后期安全测试相关的初始风险分析步骤中应用模型驱动方法的经验。我们的工作依赖于一个通用的元模型,该模型用于映射、同步和确保不同工具之间的信息可追溯性。我们利用不同的场景验证了我们的方法,这些场景依赖于领域建模、系统建模、风险评估和安全测试工具。
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