人工智能和大数据:关键领域的协同效应和网络安全挑战

Susan Helser;Mark Hwang
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引用次数: 0

摘要

本研究深入探讨了网络安全、人工智能(AI)和大数据(CAB)在制造业和公共服务领域的六大领域的交集。报告强调了这些技术在重塑行业和提高效率方面的变革潜力,同时也强调了它们带来的挑战,特别是在数据保护和隐私方面。为了将这些挑战置于上下文中,我们开发了一个由三个维度(安全目标、安全控制和数据状态)组成的安全模型,并将其应用于六个部门。由此产生的模型在实践中向更有效的风险评估迈出了重要的一步。它们还应激励研究工作,以更有效和负责任地进一步推进CAB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI and Big Data: Synergies and Cybersecurity Challenges in Key Sectors
This research provides an in-depth exploration of the intersection of cybersecurity, artificial intelligence (AI), and big data (CAB) across six sectors in manufacturing and public service. It highlights the transformative potential of these technologies in reshaping industries and enhancing efficiency while also underscoring the challenges they present, particularly in data protection and privacy. To put these challenges in context, a security model consisting of three dimensions (security goal, security control, and data state) is developed and applied to six sectors. The resultant models represent a major step toward more effective risk assessment in practice. They should also inspire research efforts to further advance CAB more effectively and responsibly.
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