B. Tare, S. Waghmare, Irfan A. Siddavatam, F. Kazi, Navdeep M. Singh
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引用次数: 4
摘要
SCADA (Supervisory Control and Data Acquisition System)通信是智能电网变电站自动化的重要组成部分,它对变电站各部件的性能和参数进行监控。迄今为止,保持SCADA网络的功能一直是人们关注的焦点,但现在,由于SCADA网络与公共网络的持续连接,使其安全成为最大的挑战。本文利用彩色Petri网(CPN)模型对分布式网络协议第三版(DNP3)进行安全性分析。DNP3广泛应用于SCADA系统,用于石油、天然气和电网基础设施的分布式控制。CPN技术通过实际的分组形成及其在网络中的传输,为了解DNP3中的通信链路提供了完整的环境。为了进行安全性分析,使用初始CPN模型进行了实验,并生成了合法和恶意流量的状态空间报告。然后使用生成的状态空间报告来训练线性判别分析(LDA)模型,该模型可以区分恶意流和合法流。
Security analysis of DNP3 using CPN model with state space report representation using LDA
Supervisory Control and Data Acquisition System (SCADA) communication forms major portion of substation automation in smart grid, as it monitors performances of substation components and their parameters. Till date keeping SCADA networks functional was prime focus, but now making it secure is biggest challenge because of their continuous connection to public networks. This paper presents security analysis of Distributed Network Protocol Version 3 (DNP3) using Coloured Petri Nets (CPN) model. DNP3 is extensively used in SCADA systems for distributed control of oil, gas and power grid infrastructure. CPN technique gives complete environment to understand communication link in DNP3 with actual packet formation and their transmission through the network. To perform security analysis, experiments are carried out with initial CPN model and a state space reports are generated for legitimate and malicious traffic flow. Then the generated state space report is used to train the Linear Discriminant Analysis (LDA) model which will discriminate the malicious flow from legitimate flow.