DOE OSTI · 3391733
Internet of Things Data Characterization Process: Pattern of Life Behavioral Data Study
Abstract
The HoneyBee™ TARDIS LDRD team completed a data scoping study that identified the initial processes and procedures to baseline the normal and expected behaviors during operability and interoperability of Internet of Things (IoT) device networks. This research is the initial step in developing a process (or methodology) to inform a much broader information framework incorporating machine learning to determine device pattern-of-life which enables the detection of abnormal IoT behaviors on an individual device, as well as in the context of a larger network.
Explore related subjects
Keep this discovery
Campbell, Lisa E. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000205992884), Haack, Jereme N. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], McKenzie, Penny L. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Patrick, Christopher B. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Whyatt, Marie V. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Wright-Mockler, Quinn J. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Johnson, Beverly E. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]. 2022-12-12. Internet of Things Data Characterization Process: Pattern of Life Behavioral Data Study. https://doi.org/10.2172/3391733
Cite the original work for its findings. Save a collection to share your selection of sources.
Discover connections
Connections use source metadata and explicit phrase matches, not verified experimental comparisons.