Modeling and Detection of Evolving Threats Using Random Finite Set Statistics

Zachariah Sutton; Peter Willett; Yaakov Bar-Shalom

ICASSP 2018accepted0 citations

Modeling and Detection of Evolving Threats Using Random Finite Set Statistics

Zachariah Sutton, Peter Willett, Yaakov Bar-Shalom

Abstract

Many threats in the form of human actions (terrorist attacks, military actions, etc.) can be modeled by someone with relevant expert knowledge. A model would be a hypothesis or guess as to how a threat would develop and what kind of observable evidence it would produce along the way. We present a method of stochastically modeling these types of processes using Hidden Markov Models (HMMs). We then present a detection scheme using a Bernoulli Filter - an increasingly popular application of random finite set statistics

BibTeX

@inproceedings{icassp2018_modelinganddetec,
  title = {Modeling and Detection of Evolving Threats Using Random Finite Set Statistics},
  author = {Zachariah Sutton and Peter Willett and Yaakov Bar-Shalom},
  booktitle = {ICASSP 2018},
  year = {2018}
}