Carnegie Mellon University
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Deriving Candidate Technical Controls and Indicators of Insider Attack from Socio-Technical Models and Data

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posted on 2023-05-11, 21:37 authored by Michael HanleyMichael Hanley

The insider threat continues to be one of the prime issues facing  government entities and organizations across critical infrastructure sectors. Extensive catalogues of case material from actual insider events have been used by CERT, part of Carnegie Mellon University's Software Engineering Institute, to create socio-technical models of insider crime to help educate organizations on the risk of insider crime. Building upon this work, this paper seeks to demonstrate how a useful method for extracting technical information from previous insider crimes and mapping it to previous modeling work can create informed candidate technical controls and indicators. This paper also shows current examples of case material and candidate indicators that have een successfully converted into well-received insider threat training modules. 


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This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.



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Copyright 2011 Carnegie Mellon University

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