An Evidence-Based Bayesian Trust Assessment Framework for Critical Infrastructure Decision Making

Wang, Y., Hauser, C.

IFIP Working Group 11.10 Conference on Critical Infrastructure Protection V, IFIP Advances in Information and Communication Technology Volume 367, 2011, pp 125-135.

Visit Publisher Online Entry:

The availability and reliability of large critical infrastructures depend on decisions made by hundreds or thousands of interdependent entities and, by extension, on the information that the entities exchange with each other. In the electric power grid, the widespread deployment of devices that measure and report readings many times per second offers new opportunities for automated control, which is accompanied by the need to automatically assess the trustworthiness of the received information. This paper proposes a Bayesian estimation model for calculating the trustworthiness of entities in the electric power grid and making trust-relevant decisions. The model quantifies uncertainties and also helps minimize the risk in decision making.

Publication Status:
Publication Type:
Publication Date:
Copyright Notice:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

  1. The following copyright notice applies to all of the above items that appear in IEEE publications: "Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE."

  2. The following copyright notice applies to all of the above items that appear in ACM publications: "© ACM, effective the year of publication shown in the bibliographic information. This file is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the journal or proceedings indicated in the bibliographic data for each item."

  3. The following copyright notice applies to all of the above items that appear in IFAC publications: "Document is being reproduced under permission of the Copyright Holder. Use or reproduction of the Document is for informational or personal use only."