| Title | Research on Node Anomaly Detection Method in Smart Grid by Beta Distribution Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wenlong, Wang, Jianquan, Liang |
| Conference Name | 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) |
| Keywords | Advanced Metering Infrastructure(AMI), Beta distribution, composability, Conferences, feature extraction, Fluctuations, Human Behavior, human factors, Mahalanobis distance, Network security, Optics, pubcrawl, resilience, Resiliency, Smart Grid Sensors, Smart grids, Trust management, Wireless sensor networks |
| Abstract | As the extensive use of the wireless sensor networks in Advanced Metering Infrastructure (AMI) of Smart Grid, the network security of AMI becomes more important. Thus, an optimization of trust management mechanism of Beta distribution theory is put forward in this article. First of all, a self-adaption method of trust features sampling is proposed, that adjusts acquisition frequency according to fluctuation of trust attribute collected, which makes the consumption of network resource minimum under the precondition of ensuring accuracy of trust value; Then, the collected trust attribute is judged based on the Mahalanobis distance; Finally, calculate the nodes' trust value by the optimization of the Beta distribution theory. As the simulation shows, the trust management scheme proposed is suited to WSNs in AMI, and able to reflect the trust value of nodes in a variety of circumstances change better. |
| DOI | 10.1109/TOCS53301.2021.9688614 |
| Citation Key | wenlong_research_2021 |
Research on Node Anomaly Detection Method in Smart Grid by Beta Distribution Theory