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Title: A Framework for Understanding Operator Decision Making in Simulated Nuclear Power Plant Cyber Attacks.

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:
1426623
Report Number(s):
SAND2017-2674C
Journal ID: ISSN 2194-5357; 651656
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Journal Volume: 589; Conference: Proposed for presentation at the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017) held June 17-21, 2017 in Los Angeles, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Adams, Susan S., Hendrickson, Stacey Marie, and Turner, Phillip L.. A Framework for Understanding Operator Decision Making in Simulated Nuclear Power Plant Cyber Attacks.. United States: N. p., 2017. Web. doi:10.1007/978-3-319-60645-3_27.
Adams, Susan S., Hendrickson, Stacey Marie, & Turner, Phillip L.. A Framework for Understanding Operator Decision Making in Simulated Nuclear Power Plant Cyber Attacks.. United States. doi:10.1007/978-3-319-60645-3_27.
Adams, Susan S., Hendrickson, Stacey Marie, and Turner, Phillip L.. Wed . "A Framework for Understanding Operator Decision Making in Simulated Nuclear Power Plant Cyber Attacks.". United States. doi:10.1007/978-3-319-60645-3_27. https://www.osti.gov/servlets/purl/1426623.
@article{osti_1426623,
title = {A Framework for Understanding Operator Decision Making in Simulated Nuclear Power Plant Cyber Attacks.},
author = {Adams, Susan S. and Hendrickson, Stacey Marie and Turner, Phillip L.},
abstractNote = {Abstract not provided.},
doi = {10.1007/978-3-319-60645-3_27},
journal = {},
number = ,
volume = 589,
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.

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  • The Stuxnet attack at the Natanz facility is an example of a targeted and successful cyber attack on a nuclear facility. Snowden's release of National Security Agency documents demonstrated the consequences of the insider threat. More recently, the United States tried to attack North Korea but failed, South Korea was attempting to attack North Korea, and both applied Stuxnet-like approaches. These sophisticated targeted attacks differ from web-site hacking events that are reported almost daily in the news mainly because targeted attacks require detailed design and operation information of the systems attacked and/or are often carried out by insiders. For instance,more » in order to minimize disruption of facilities around the world, Stuxnet remained idle until it recognized the specific configuration of the Natanz facility, demonstrating that the attackers possessed extremely detailed information about the facility. Such targeted cyber attacks could become a national-level military weapon and be used in coercion of hostile countries.« less
  • An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to themore » control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events.« less
  • In the field of nuclear power plant (NPP) safety modeling, the perception of the role of socio-cognitive engineering (SCE) is continuously increasing. Today, the focus is especially on the identification of human and organization decisional errors caused by operators and managers under high-risk conditions, as evident by analyzing reports on nuclear incidents occurred in the past. At present, the engineering and social safety requirements need to enlarge their domain of interest in such a way to include all possible losses generating events that could be the consequences of an abnormal state of a NPP. Socio-cognitive modeling of Integrated Nuclear Safetymore » Management (INSM) using the TOGA meta-theory has been discussed during the ICCAP 2011 Conference. In this paper, more detailed aspects of the cognitive decision-making and its possible human errors and organizational vulnerability are presented. The formal TOGA-based network model for cognitive decision-making enables to indicate and analyze nodes and arcs in which plant operators and managers errors may appear. The TOGA's multi-level IPK (Information, Preferences, Knowledge) model of abstract intelligent agents (AIAs) is applied. In the NPP context, super-safety approach is also discussed, by taking under consideration unexpected events and managing them from a systemic perspective. As the nature of human errors depends on the specific properties of the decision-maker and the decisional context of operation, a classification of decision-making using IPK is suggested. Several types of initial situations of decision-making useful for the diagnosis of NPP operators and managers errors are considered. The developed models can be used as a basis for applications to NPP educational or engineering simulators to be used for training the NPP executive staff. (authors)« less