The Secret Lives of Assumptions: Developing and Refining Assumption Personas for Secure System Design

• Main Authors: Faily, Shamal, Fléchais, Ivan
• Other Authors: Oxford University Computing Laboratory, Computing Laboratory (OUCL), University of Oxford Oxford -University of Oxford Oxford, Regina Bernhaupt; Peter Forbrig; Jan Gulliksen; Marta Lárusdóttir
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2010
• Subjects: [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; Iceland
• Online Access: https://hal.inria.fr/hal-01055193; https://hal.inria.fr/hal-01055193/document; https://hal.inria.fr/hal-01055193/file/p9_8.pdf; https://doi.org/10.1007/978-3-642-16488-0_9

International audience Personas are useful for obtaining an empirically grounded understanding of a secure system's user population, its contexts of use, and possible vulnerabilities and threats endangering it. Often, however, personas need to be partly derived from assumptions; these may be embedded in a variety of different representations. Assumption Personas have been proposed as boundary objects for articulating assumptions about a user population, but no methods or tools currently exist for developing and refining these within the context of secure and usable design. This paper presents an approach for developing and refining assumption personas before and during the design of secure systems. We present a model for structuring the contribution of assumptions to assumption personas, together with a process for developing assumption personas founded on this model. We also present some preliminary results based on an application of this approach in a recent case study.