Study of a detection system for false data injection attacks based on AMPSO-BP neural networks

[1]  Patrick D. McDaniel,et al.  Security and Privacy Challenges in the Smart Grid , 2009, IEEE Security & Privacy.

[2]  R. Vijayanand,et al.  Support vector machine based intrusion detection system with reduced input features for advanced metering infrastructure of smart grid , 2017, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS).

[3]  Mounir Ghogho,et al.  Intrusion detection system for the detection of blackhole attacks in a smart grid , 2016, 2016 4th International Symposium on Computational and Business Intelligence (ISCBI).

[4]  Muhammad Ashraf,et al.  An efficient intrusion detection scheme for cluster based AMI networks , 2016, 2016 International Conference on Open Source Systems & Technologies (ICOSST).

[5]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[6]  Lang Tong,et al.  Malicious Data Attacks on the Smart Grid , 2011, IEEE Transactions on Smart Grid.

[7]  Zhang Jianhua.  Cyber Security Risks and Requirements for Customer Interaction of Smart Grid , 2011 .

[8]  Ehab Al-Shaer,et al.  SmartAnalyzer: A noninvasive security threat analyzer for AMI smart grid , 2012, 2012 Proceedings IEEE INFOCOM.

[9]  Luan Wen-peng.  Advanced Metering Infrastructure , 2009 .