Identifying Implicit Vulnerabilities through Personas as Goal Models

Autor:	Faily, Shamal, Iacob, Claudia, Ali, Raian, Ki-Aries, Duncan
Rok vydání:	2020
Předmět:	Computer Science - Software Engineering Computer Science - Cryptography and Security Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	When used in requirements processes and tools, personas have the potential to identify vulnerabilities resulting from misalignment between user expectations and system goals. Typically, however, this potential is unfulfilled as personas and system goals are captured with different mindsets, by different teams, and for different purposes. If personas are visualised as goal models, it may be easier for stakeholders to see implications of their goals being satisfied or denied, and designers to incorporate the creation and analysis of such models into the broader RE tool-chain. This paper outlines a tool-supported approach for finding implicit vulnerabilities from user and system goals by reframing personas as social goal models. We illustrate this approach with a case study where previously hidden vulnerabilities based on human behaviour were identified. Comment: SECPRE 2020 workshop pre-print
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.04773 Zobrazit plný text záznamu View this record from Arxiv