Goal Modelling for Security Problem Matching and Pattern Enforcement

Author:

Yu Yijun1,Kaiya Haruhiko2,Yoshioka Nobukazu3,Hu Zhenjiang3,Washizaki Hironori4,Xiong Yingfei5,Hosseinian-Far Amin6

Affiliation:

1. School of Computing and Communications, The Open University, Milton Keynes, UK

2. Kanagawa University, Hiratsuka, Japan

3. GRACE Center, NII, Tokyo, Japan

4. Computer Science and Engineering Department, Waseda University, Tokyo, Japan

5. Peking University, Beijing, China

6. Faculty of Business & Law, The University of Northampton, Northampton, UK

Abstract

This article describes how earlier detection of security problems and the implementation of solutions would be a cost-effective approach for developing secure software systems. Developing, gathering and sharing similar repeatable programming knowledge and solutions has led to the introduction of Patterns in the 90's. The same concept has been adopted to realise reoccurring security knowledge and hence security patterns. Detecting a security problem using the patterns in requirements models may lead to its early prevention. In this article, the authors have provided an overview of security patterns in the past two decades, followed by a summary of i*/Tropos goal modelling framework. Section 2 outlines model-driven development, meta-models and model transformation, within the context of requirements engineering. They have summarised security access control types, and formally described role-based access control (RBAC) in particular as a pattern that may occur in the stakeholder requirements models. Then the authors used the i* modelling language and some elements from its constructs - model-driven queries and transformations - to describe the pattern enforcement. This is applied to a number of requirements models within the literature, and the pattern-based transformation tool they designed has automated the detection and resolution of this security pattern in several goal-oriented stakeholder requirements. Finally, the article also reflects on a variety of existing applications and future work.

Publisher

IGI Global

Subject

General Medicine

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3. IoT Security, Privacy, Safety and Ethics;Internet of Things;2019-07-23

4. Crime Data Mining, Threat Analysis and Prediction;Advanced Sciences and Technologies for Security Applications;2018

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