Unstructured data for cybersecurity and internal control

Authors

Jesus Canelón, California State University, San Bernardino
Esperanza Huerta, San Jose State UniversityFollow
Normal Leal, Instituto Tecnologico Autonoma de Mexico
Terry Ryan, Claremont Graduate University

Publication Date

1-1-2020

Document Type

Conference Proceeding

Publication Title

Proceedings of the 53rd Hawaii International Conference on System Sciences

First Page

5411

Last Page

5420

Abstract

This paper proposes a research framework for studying the connections-realized and potential-between unstructured data (UD) and cybersecurity and internal controls. In the framework, cybersecurity and internal control goals determine the tasks to be conducted. The task influences the types of UD to be accessed and the types of analysis to be done, which in turn influences the outcomes that can be achieved. Patterns in UD are relevant for cybersecurity and internal control, but UD poses unique challenges for its analysis and management. This paper discusses some of these challenges including veracity, structuralizing, bias, and explainability.

Comments

This is the Version of Record and can also be read online here.

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Department

Accounting and Finance

Recommended Citation

Jesus Canelón, Esperanza Huerta, Normal Leal, and Terry Ryan. "Unstructured data for cybersecurity and internal control" Proceedings of the 53rd Hawaii International Conference on System Sciences (2020): 5411-5420.