Socio-Technical Ecosystem Considerations: An Emergent Research Agenda for AI in Cybersecurity

Mariarosaria Taddeo;Paul Jones;Roba Abbas;Kathleen Vogel;Katina Michael
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引用次数: 1

Abstract

Cybersecurity continues to be a key element of national security. Given that critical infrastructure is powered by digital systems, any disruption to the flow of vital services has the potential effect of causing harm to citizens, organizations, and government entities. The availability of service offerings may be subject to attacks by AI on various aspects of cyber-physical-social systems. And no system is foolproof. Inasmuch as AI can be a threat to cybersecurity, it can also be used to combat attempts at systems penetration through deep learning and other capabilities. However, focusing our attention on AI alone does not allow for a sufficiently accurate understanding of the complex ecosystem that contributes to the conflicting scenarios that are possible in the context of AI in cybersecurity. This Special Issue provides insights into the broader socio-technical ecosystem considerations that are required for the achievement of system robustness, allowing for a more intricate and balanced understanding of the role of AI in cybersecurity, at various levels relevant to individuals, organizations, and communities/ society. Fundamentally, the socio-technical approach calls for an emphasis on people, processes, and technology, and not solely on the shiny gadgetry that we call products. There are four main themes that form the emergent research agenda: 1) the cybersecurity ecosystem that demands an interdisciplinary approach; 2) the state of the art technology development processes and landscape that provide and facilitate cybersecurity mechanisms and competitive advantage through AI; 3) the interconnected and multifaceted nature of the social, technical, and environmental subsystems in the cybersecurity ecosystem; and 4) the emphasis on human requirements and values, inclusive of end-user capacity and awareness, organizational capability and skills development, and societal considerations inclusive of the public interest.
社会技术生态系统考虑:人工智能在网络安全中的新兴研究议程
网络安全仍然是国家安全的一个关键因素。鉴于关键基础设施由数字系统提供动力,对重要服务流的任何干扰都有可能对公民、组织和政府实体造成伤害。服务的可用性可能会受到人工智能对网络物理社交系统各个方面的攻击。没有一个系统是万无一失的。由于人工智能可能对网络安全构成威胁,它也可以用于通过深度学习和其他能力打击系统渗透的企图。然而,仅将我们的注意力集中在人工智能上,并不能充分准确地理解复杂的生态系统,因为在网络安全中,人工智能可能会导致冲突场景。本特刊深入了解了实现系统稳健性所需的更广泛的社会技术生态系统考虑因素,从而能够更复杂、更平衡地理解人工智能在网络安全中的作用,在与个人、组织和社区/社会相关的各个层面。从根本上讲,社会技术方法要求强调人、过程和技术,而不仅仅是我们称之为产品的闪亮小工具。形成新兴研究议程的主要主题有四个:1)需要跨学科方法的网络安全生态系统;2) 通过人工智能提供和促进网络安全机制和竞争优势的最先进技术开发过程和环境;3) 网络安全生态系统中社会、技术和环境子系统的相互关联和多方面性质;以及4)强调人的需求和价值观,包括最终用户的能力和意识、组织能力和技能发展,以及包括公共利益的社会考虑。
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