skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Studying Adaptive Learning through Game-Theoretic Modeling.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1425314
Report Number(s):
SAND2017-2259C
651328
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Neural Inspired Computational Elements (NICE) 2017 Workshop held February 6-8, 2017 in San Jose, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Vineyard, Craig Michael. Studying Adaptive Learning through Game-Theoretic Modeling.. United States: N. p., 2017. Web.
Vineyard, Craig Michael. Studying Adaptive Learning through Game-Theoretic Modeling.. United States.
Vineyard, Craig Michael. Wed . "Studying Adaptive Learning through Game-Theoretic Modeling.". United States. doi:. https://www.osti.gov/servlets/purl/1425314.
@article{osti_1425314,
title = {Studying Adaptive Learning through Game-Theoretic Modeling.},
author = {Vineyard, Craig Michael},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • Cyber physical computing infrastructures typically consist of a number of sites are interconnected. Its operation critically depends both on cyber components and physical components. Both types of components are subject to attacks of different kinds and frequencies, which must be accounted for the initial provisioning and subsequent operation of the infrastructure via information security analysis. Information security analysis can be performed using game theory implemented in dynamic Agent Based Game Theoretic (ABGT) simulations. Such simulations can be verified with the results from game theory analysis and further used to explore larger scale, real world scenarios involving multiple attackers, defenders, andmore » information assets. We concentrated our analysis on the electric sector failure scenarios and impact analyses by the NESCOR Working Group Study, From the Section 5 electric sector representative failure scenarios; we extracted the four generic failure scenarios and grouped them into three specific threat categories (confidentiality, integrity, and availability) to the system. These specific failure scenarios serve as a demonstration of our simulation. The analysis using our ABGT simulation demonstrates how to model the electric sector functional domain using a set of rationalized game theoretic rules decomposed from the failure scenarios in terms of how those scenarios might impact the cyber physical infrastructure network with respect to CIA.« less
  • Abstract not provided.