The Advanced Dynamic Security Learning (DSL) Process Model is an Industry 4.0 cybersecurity incident response architecture proposed in this paper. This model addresses proactive and reflective cybersecurity governance across complex cyber-physical systems by combining Argyris and Schön's double-loop learning theory with Crossan's 4I organizational learning framework. Given that 65% of industrial companies suffer ransomware attacks annually and many of them lack cybersecurity awareness, this reveals the gravity of cyber threats. Feedforward and feedback learning loops in this paradigm help promote strategic transformation and ongoing growth. The DSL model helps Industry 4.0 organizations adapt to growing challenges posed by the projected 18.8 billion IoT devices by bridging operational obstacles and promoting systemic resilience. This research presents a scalable, methodical cybersecurity maturity approach based on a comprehensive analysis of the literature and a qualitative study.
翻译:本文提出的高级动态安全学习(DSL)过程模型是一种面向工业4.0的网络安全事故响应架构。该模型通过整合Argyris与Schön的双环学习理论和Crossan的4I组织学习框架,解决了复杂信息物理系统中主动式与反思式网络安全治理问题。鉴于每年有65%的工业企业遭受勒索软件攻击,且其中多数缺乏网络安全意识,这揭示了网络威胁的严峻性。该范式中的前馈与反馈学习环路有助于推动战略转型与持续发展。通过弥合运营障碍并增强系统韧性,DSL模型能够帮助工业4.0组织应对预计达188亿台物联网设备带来的日益严峻的挑战。本研究在综合文献分析与定性研究的基础上,提出了一种可扩展的、系统化的网络安全成熟度提升方法。