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Title: Discovering "unknown known" security requirements
Authors: Rashid, Awais
Naqvi, Syed Asad Ali
Ramdhany, Rajiv
Edwards, Matthew
Chitchyan, Ruzanna
Babar, M. Ali
First Published: May-2016
Presented at: ICSE '16 38th International Conference on Software Engineering, Austin, TX, USA — May 14 - 22, 2016
Start Date: 14-May-2016
End Date: 22-May-2016
Publisher: Association for Computing Machinery (ACM)
Citation: Proceedings of the 38th International Conference on Software Engineering, Austin, TX, USA, May 2016, pp. 866-876
Abstract: Security is one of the biggest challenges facing organisations in the modern hyper-connected world. A number of theoretical security models are available that provide best practice security guidelines and are widely utilised as a basis to identify and operationalise security requirements. Such models often capture high-level security concepts (e.g., whitelisting, secure configurations, wireless access control, data recovery, etc.), strategies for operationalising such concepts through specific security controls, and relationships between the various concepts and controls. The threat landscape, however, evolves leading to new tacit knowledge that is embedded in or across a variety of security incidents. These unknown knowns alter, or at least demand reconsideration of the theoretical security models underpinning security requirements. In this paper, we present an approach to discover such unknown knowns through multi-incident analysis. The approach is based on a novel combination of grounded theory and incident fault trees. We demonstrate the effectiveness of the approach through its application to identify revisions to a theoretical security model widely used in industry.
DOI Link: 10.1145/2884781.2884785
ISBN: 978-1-4503-3900-1
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2016, ACM. Deposited with reference to the publisher’s open access archiving policy.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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