Visible to the public Biblio

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Presentation
Journal Article
Christopher Hannon, Illinois Institute of Technology, Jiaqi Yan, Illinois Institute of Technology, Dong Jin, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory, Jianhui Wang, Argonne National Laboratory.  2018.  Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation. CM Transactions on Modeling and Computer Simulation (TOMACS) – Special Issue on PADS. 28(4)

Software-defined networking (SDN) enables efficient networkmanagement. As the technology matures, utilities are looking to integrate those benefits to their operations technology (OT) networks. To help the community to better understand and evaluate the effects of such integration, we develop DSSnet, a testing platform that combines a power distribution system simulator and an SDN-based network emulator for smart grid planning and evaluation. DSSnet relies on a container-based virtual time system to achieve efficient synchronization between the simulation and emulation systems. To enhance the system scalability and usability, we extend DSSnet to support a distributed controller environment. To enhance system fidelity, we extend the virtual time system to support kernel-based switches. We also evaluate the system performance of DSSnet and demonstrate the usability of DSSnet with a resilient demand response application case study.

Dong Jin, Illinois Institute of Technology, Zhiyi Li, Illinois Institute of Technology, Christopher Hannon, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory, Jianhui Wang, Argonne National Laboratory, Mohammad Shahidehpour, Illinois Institute of Technology, Cheol Won Lee, National Research Institute, South Korea.  2017.  Toward a Cyber Resilient and Secure Microgrid Using Software-Defined Networking. IEEE Transactions on Smart Grid. 8(5)

To build a resilient and secure microgrid in the face of growing cyber-attacks and cyber-mistakes, we present a software-defined networking (SDN)-based communication network architecture for microgrid operations. We leverage the global visibility, direct networking controllability, and programmability offered by SDN to investigate multiple security applications, including self-healing communication network management, real-time and uncertainty-aware communication network verification, and specification-based intrusion detection. We also expand a novel cyber-physical testing and evaluation platform that combines a power distribution system simulator (for microgrid energy services) and an SDN emulator with a distributed control environment (for microgrid communications). Experimental results demonstrate that the SDN-based communication architecture and applications can significantly enhance the resilience and security of microgrid operations against the realization of various cyber threats.

Conference Paper
Yangfend Qu, Illinois Institute of Technology, Xin Liu, Illinois Institute of Technology, Dong Jin, Illinois Institute of Technology, Yuan Hong, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory.  2018.  Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control. 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization.

Many of the emerging wide-area monitoring protection and control (WAMPAC) applications in modern electrical grids rely heavily on the availability and integrity of widespread phasor measurement unit (PMU) data. Therefore, it is critical to protect PMU networks against growing cyber-attacks and system faults. In this paper, we present a self-healing PMU network design that considers both power system observability and communication network characteristics. Our design utilizes centralized network control, such as the emerging software-defined networking (SDN) technology, to design resilient network self-healing algorithms against cyber-attacks. Upon detection of a cyber-attack, the PMU network can reconfigure itself to isolate compromised devices and re-route measurement
data with the goal of preserving the power system observability. We have developed a proof-of-concept system in a container-based network testbed using integer linear programming to solve a graphbased PMU system model.We also evaluate the system performance regarding the self-healing plan generation and installation using the IEEE 30-bus system.
 

Christopher Hannon, Illinois Institute of Technology, Dong Jin, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory, Jianhui Wang, Argonne National Laboratory.  2017.  Ultimate Forwarding Resilience in OpenFlow Networks. ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization (SDN-NFV Security 2017).

Software defined networking is a rapidly expanding networking paradigm that aims to separate the control logic from the forwarding devices. Through centralized control, network operators are able to deploy and manage more efficient forwarding strategies. Traditionally, when the network undergoes a change through maintenance, failure, or cyber attack, the centralized controller processes these events and deploys new forwarding rules reactively. This work provides a strategy that does not require a controller in order to maintain connectivity while only using features within the existing OpenFlow protocol version 1.3 or greater. In this paper we illustrate why forwarding resiliency is desired in OpenFlow networks and provide an algorithm that computes the flow entries required to achieve maximal forwarding resiliency in presence of both multiple link and controller failures on any arbitrary network.