A Compliance-Driven Framework for Privacy and Security in Highly Regulated Socio-Technical Environments

Author:

Saidane Ayda1,Al-Sharieh Saleh2

Affiliation:

1. Independent Researcher, Canada

2. University of Groningen, The Netherlands

Abstract

Regulatory compliance is a top priority for organizations in highly regulated ecosystems. As most operations are automated, the compliance efforts focus on the information systems supporting the business processes of the organizations and, to a lesser extent, on the humans using, managing, and maintaining them. Yet, the human factor is an unpredictable and challenging component of a secure system development and should be considered throughout the development process as both a legitimate user and a threat. In this chapter, the authors propose COMPARCH as a compliance-driven system engineering framework for privacy and security in socio-technical systems. It consists of (1) a risk-based requirement management process, (2) a test-driven security and privacy modeling framework, and (3) a simulation-based validation approach. The satisfaction of the regulatory requirements is evaluated through the simulation traces analysis. The authors use as a running example an E-CITY system providing municipality services to local communities.

Publisher

IGI Global

Reference46 articles.

1. Towards the Model-Driven Engineering of Secure yet Safe Embedded Systems

2. Model-Checking Driven Security Testing of Web-Based Applications

3. Bertolino, A., Inverardi, P., & Muccini, H. (2001). An Explorative Journey from Architectural Tests Definition down to Code Tests Execution. In Software Engineering,23rd International Conference on Software Engineering (ICSE’01). IEEE Computer Society Press.

4. Code Generation from AADL to a Real-Time Operating System: An Experimentation Feedback on the Use of Model Transformation.;M.Brun;Proceedings of the 13th IEEE International Conference on on Engineering of Complex Computer Systems (ICECCS ’08),2008

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