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phishing-lens-model

Exploratory Brunswickian Lens model of phishing attackee decision-making behavior highlighting personality factors and user work environment context.

This code implements an exploratory computational model of user decision making in a potential phishing attack scenario. The model demonstrates how contextual factors, such as message subject matter match to current work concerns, and personality factors, such as conscientiousness, contribute to users’ decisions to comply with or ignore message requests.

It is assumed that readers have a working knowledge of R in order to make use of this code.

Please see NISTIR XXXX, titled “Exploratory Lens Model of Decision-Making in a Potential Phishing Attack Scenario” by Franklin P. Tamborello, II and Kristen K. Greene for additional details. DOI: XXXX. (NISTIR number and DOI pending).

Disclaimer: “The United States Department of Commerce (DOC) GitHub project code is provided on an ‘as is’ basis and the user assumes responsibility for its use. DOC has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any claims against the Department of Commerce stemming from the use of its GitHub project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.”

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