Towards Model Driven Design of Crypto Primitives and Processes - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2016

Towards Model Driven Design of Crypto Primitives and Processes


To be understandable and reusable at large scale, also by non-experts in security, Crypto primitives must be implemented in a modular way, and come with well organized and well described processes to help understanding, foster adoption, and ensure a proper embedding in the applications they must protect. In this paper, we reap the benefits of the modular hardware and software architecture of the SEcube, and lift the issue of crypto-primitives management from the traditional code level to a model driven approach. On small examples, we illustrate the essential features of the approach concerning the modelling of cryptography primitives as SIBs and their organization in domain-specific SIB palettes. We also sketch how to use multifaceted taxonomies to provide compact yet expressive classifications, amounting to a semantic description of the security domain. We address in the issue of workflows by using models that ease the expression, analysis, control, and formal verification of inter- and intra-model control and data flow, though the adoption of the XMDD approach implemented in the DIME integrated modelling environment. A brief description of a home banking application sketches how in reality many of these security mechanisms need to work together in a safe and secure orchestration.
Fichier principal
Vignette du fichier
SAM9766.pdf (273.86 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

lirmm-01444948 , version 1 (24-01-2017)


  • HAL Id : lirmm-01444948 , version 1


Alberto Carelli, Giorgio Di Natale, Pascal Trotta, Tiziana Margaria. Towards Model Driven Design of Crypto Primitives and Processes. SAM: Sensor Array and Multichannel Signal Processing, Jul 2016, Rio de Janeiro, Brazil. pp.152-158. ⟨lirmm-01444948⟩
221 View
837 Download


Gmail Facebook X LinkedIn More