Biswajit Panja, Josh Oros, J. Britton, Priyanka Meharia, Sourav Pati
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引用次数: 2
摘要
本文提出了一种用于SCADA网络的智能网关系统,以避免DOS攻击。所建议的方法提供了关于SIG系统架构的详细信息,该架构建立了主SIG和外围SIG、流量、主要警报和次要警报之间的连接。仿真实验是分析和评估SCADA (Supervisory Control and Data Acquisition)系统安全性不可缺少的阶段。虽然已经进行了许多实验,但局限性仍然没有缩小。本文提出的SCADA智能网关概念经过实验验证,显示了其保护SCADA系统免受攻击的能力。智能学习机制通过机器人生产和模拟环境建立了识别恶意流量的能力。
Intelligent gateway for SCADA system security: A multi-layer attack prevention approach
This paper proposes an intelligent gateway system for SCADA networks to avoid DOS attacks. The proposed approach provides details about an SIG system architecture which establishes the connection between Master SIGs and Perimeter SIGs, the traffic flow, major alerts, and minor alerts. Simulation experiments are an indispensable phase to analyze and assess the security of SCADA (Supervisory Control and Data Acquisition) systems. Although numerous experiments have taken place, limitations are still not been shrunk. The SCADA Intelligence Gateway concept proposed in this paper is experimentally proved and showed its ability to secure the SCADA system from attacks. The intelligence learning mechanism established the ability to identify malicious traffic through bot production and simulation environments.