FLECO: A tool to boost the adoption of holistic cybersecurity management

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Software Impacts Pub Date : 2024-01-15 DOI:10.1016/j.simpa.2024.100614

Manuel Domínguez-Dorado , Francisco J. Rodríguez-Pérez , Jesús Galeano-Brajones , Jesús Calle-Cancho , David Cortés-Polo

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Abstract

The implementation of a holistic cybersecurity approach involves engaging multiple functional areas within the organization, each assigned specific actions to achieve strategic cybersecurity objectives. These actions – there can be numerous permutations of them – have associated costs, expertise requirements. Selecting the right combinations requires careful analysis and consideration, leading to time-consuming deliberations and potential conflicts. Identifying inadequate combinations that fail to meet strategic goals also requires significant effort. To streamline this process, we developed FLECO (Fast, Lightweight, and Efficient Cybersecurity Optimization), an adaptable multi-objective genetic algorithm that enables near-instantaneous identification of feasible cross-functional combinations. It serves as a foundation for the cybersecurity workforce to reach a consensus.

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FLECO：促进采用整体网络安全管理的工具

实施整体网络安全方法涉及组织内多个职能领域的参与，每个职能领域都被分配了具体行动，以实现网络安全战略目标。这些行动--可能有无数种组合--都有相关的成本和专业知识要求。选择正确的组合需要仔细分析和考虑，导致耗时的审议和潜在的冲突。找出无法实现战略目标的不当组合也需要花费大量精力。为了简化这一过程，我们开发了 FLECO（快速、轻量级、高效网络安全优化），这是一种适应性强的多目标遗传算法，能够近乎即时地识别可行的跨职能组合。它是网络安全人员达成共识的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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