Towards a Secure and Resilient Industrial Control System with Software-Defined Networking
Title | Towards a Secure and Resilient Industrial Control System with Software-Defined Networking |
Publication Type | Presentation |
Year of Publication | 2016 |
Authors | Dong Jin, Illinois Institute of Tecnology |
Keywords | A Hypothesis Testing Framework for Network Security, critical infrastructure, industrial control systems, Network security, NSA SoS Lablets Materials, science of security, software-defined networking, UIUC |
Abstract | Modern industrial control systems (ICSes) are increasingly adopting Internet technology to boost control efficiency, which unfortunately opens up a new frontier for cyber-security. People have typically applied existing Internet security techniques, such as firewalls, or anti-virus or anti-spyware software. However, those security solutions can only provide fine-grained protection at single devices. To address this, we design a novel software-defined networking (SDN) architecture that offers the global visibility of a control network infrastructure, and we investigate innovative SDN-based applications with the focus of ICS security, such as network verification and self-healing phasor measurement unit (PMU) networks. We are also conducting rigorous evaluation using the IIT campus microgrid as well as a high-fidelity testbed combining network emulation and power system simulation. |
Notes | Illinois Lablet Information Trust Institute, Joint Trust and Security/Science of Security Seminar, by Dong (Kevin) Jin, March 15, 2016. |
URL | http://publish.illinois.edu/science-of-security-lablet/2016/02/23/trust-and-securityscience-of-secur... |
Citation Key | node-29786 |
Attachment | Size |
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- Critical Infrastructure
- Science of Security
- A Hypothesis Testing Framework for Network Security
- critical infrastructure
- Industrial Control Systems
- network security
- NSA SoS Lablets Materials
- Science of Security
- software-defined networking
- UIUC
- UIUC
- Network Security
- NSA SoS Lablets Materials
- A Hypothesis Testing Framework for Network Security