Distributed Intrusion Detection System in a Multi-Layer Network Architecture of Smart Grids

Yichi Zhang, Lingfeng Wang, Weiqing Sun, Robert C. Green II, Mansoor Alam
2011 IEEE Transactions on Smart Grid  
This thesis proposes a Distributed Intrusion Detection System for Smart Grids by developing and deploying intelligent modules in multiple layers of the smart grid in order to handle cyber security threats. Multiple Analyzing Modules are embedded at different levels of the smart grid -the Home Area Network, Neighborhood Area Network, and Wide Area Network. These intelligent modules employ Support Vector Machines and Artificial Immune System to detect and classify malicious data and possible
more » ... attacks. Analyzing Modules at different levels are trained using data that are relevant to their levels and will also be able to communicate with each other in order to improve the detection performance. Simulation results demonstrate that this is a promising methodology for improving system security through the identification of malicious network traffic, and the detection efficiency is improved by applying the optimal communication routing. For my parents and friends v Acknowledgements I would like to express my deepest appreciation to my advisor Dr. Lingfeng Wang and co-advisor Dr. Weiqing Sun. They have provided me with quality instructions, continuous guidance, and unconditional support throughout my study at the University of Toledo. They gave me the freedom to explore new ideas and always offered me constructive advices at the right times. Also, I wish to thank Robert C. Green II, and all the other Lab members for their support and feedback on various parts of this thesis. I am grateful for having been among you during my Master's study here in Toledo. Finally, I would like to thank my family and all my friends. Thank you for giving me the support and love to complete this work. vi
doi:10.1109/tsg.2011.2159818 fatcat:ufxfqjib6ncjblkv22xixnztvu