Visible to the public Behavioral Based Trust Metrics and the Smart Grid

TitleBehavioral Based Trust Metrics and the Smart Grid
Publication TypeConference Paper
Year of Publication2018
AuthorsObert, J., Chavez, A., Johnson, J.
Conference Name2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
Date Publishedaug
Keywordsbehavioral based trust metrics, behavioral pattern analysis, big data security, communication routing, critical components, electrical grid, Entropy, Grid Security, Grid Trust, learning (artificial intelligence), Mathematical model, Metrics, Microsoft Windows, Monitoring, network anomaly detection, Network security, power engineering computing, power system security, pubcrawl, resilience, Resiliency, Routing, Scalability, security, security of data, service level strategies, Smart grid, smart power grids, statistical analysis, substation protection, Substations, telecommunication network routing, trust levels, trust measurements, Trusted Communications

To ensure reliable and predictable service in the electrical grid it is important to gauge the level of trust present within critical components and substations. Although trust throughout a smart grid is temporal and dynamically varies according to measured states, it is possible to accurately formulate communications and service level strategies based on such trust measurements. Utilizing an effective set of machine learning and statistical methods, it is shown that establishment of trust levels between substations using behavioral pattern analysis is possible. It is also shown that the establishment of such trust can facilitate simple secure communications routing between substations.

Citation Keyobert_behavioral_2018