Thesis
Intrusion detection of IEC61850 based protection schemes in software defined network
Washington State University
Master of Science (MS), Washington State University
05/2016
Handle:
https://hdl.handle.net/2376/102479
Abstract
The rise in the use of IEC-61850 SCADA systems in the smart grids has made it easier to generate, transmit and distribute energy. It has led to an easily manageable centralized framework with the ability to adapt to consistently changing technology. However, the extensive interconnectivity involved in the cyber-physical system along with the fact that it happens to be the most crucial utility for survival has made it prone to a magnificent amount of cyber as well as physical attacks. This work aims at the monitoring of a software defined network that carries out the communication of the protection schemes in an IEC 61850 based smart grid. The concept of temporal logic and flow rules has been implemented to achieve this goal. A security algorithm has been defined that runs on an SDN controller and parses the traffic it reads to identify if there are any malicious packets being sent across the network. The information about the packets is generated as logs which are accessed to implement dynamic rules. The ideology behind the use of dynamic rules instead of a set of predefined ones is to minimize the amount of lag that is caused due to the processing occurring at the controller. It has been seen that there is much lesser latency if the rules are added into the flow table of the switch compared to when they are added in the controller. The whole setup ensures secure GOOSE communication from one relay to another under the event of an attack or fault with reduced amount of latency in the SDN environment.
Metrics
23 File views/ downloads
53 Record Views
Details
- Title
- Intrusion detection of IEC61850 based protection schemes in software defined network
- Creators
- Kudrat Jot Kaur
- Contributors
- Adam Hahn (Chair)CHEN-CHING LIU (Committee Member)DAVID EDWARD BAKKEN (Committee Member) - Washington State University, Electrical Engineering and Computer Science, School of
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Number of pages
- 70
- Identifiers
- 99900525036901842
- Language
- English
- Resource Type
- Thesis