Problem
Research questions and friction points this paper is trying to address.
Operational Technology
reproducible security datasets
automation
multi-source data capture
documentation
ISIA-AF: Orchestrating Reproducible Attacks and Multi-Source Data Collection for OT Systems
🤖 AI Summary
该论文提出ISIA-AF框架，通过自动化执行攻击和多源数据收集解决OT系统中缺乏可重复使用安全数据集的问题。
📝 Abstract
Operational Technology (OT) environments require realistic, reproducible security datasets, yet existing approaches often lack automation, multi-source data capture, and sufficient documentation for reuse. This paper presents ISIA-AF, a modular attack framework for orchestrating reproducible attack execution and automated dataset generation on industrial systems. The framework coordinates distributed attack clients, records network traffic and operational data, ultimately leading to a multi-source dataset. We derive functional and non-functional requirements from prior work and stakeholder discussions, and realise the framework following a design science research approach. A case study on the ISIA testbed, comprising a real industrial system and a simulated process, demonstrates how the framework supports centralised control, low communication overhead, and flexible deployment across network segments. The result is a practical basis for generating extensible, multi-source OT security datasets for intrusion detection research.
Innovation
Methods, ideas, or system contributions that make the work stand out.
modular attack framework
reproducible attack execution
automated dataset generation
multi-source data capture
centralized control
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