A Pattern-Based General Security Framework : An eBusiness Case Study

Azzedine Benameur 1 Serge Fenet 2 Ayda Saidane 3 Sinha Smriti Kumar 4
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Security and domain specific regulations are critical for any organization. Unfortunately, achieving these prerequisites in a socio-technical environment is a difficult task. For example, let us consider the aspect of computer security:~neither software developers nor regulatory authorities are security experts. Therefore, it is important that security experts' knowledge is captured and made available to software developers. Security patterns are a suitable prescription to capture experts' solutions to commonly recurring security problems. In this paper, we present the application of a general framework, based on security patterns, used to develop secure applications. It covers the entire process of solution development:~defining organizational security requirements using Secure Tropos, formalizing the pattern using SI*, implementing the pattern, integrating it into the final application, and monitoring the runtime. All these phases are discussed and illustrated with an eBusiness case study: the loan origination process.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01437680
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Tuesday, January 17, 2017 - 1:55:20 PM
Last modification on : Thursday, November 21, 2019 - 1:43:28 AM

Identifiers

Citation

Azzedine Benameur, Serge Fenet, Ayda Saidane, Sinha Smriti Kumar. A Pattern-Based General Security Framework : An eBusiness Case Study. Proc. 11th IEEE Int. Conf. on High Performance Computing and Communications HPCC'09, Jun 2009, Seoul, South Korea. pp.339-346, ⟨10.1109/HPCC.2009.93⟩. ⟨hal-01437680⟩

Share

Metrics

Record views

152