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An Architecture-Centric Approach to Detecting Security Patterns in Software

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Engineering Secure Software and Systems (ESSoS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6542))

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Abstract

Today, software security is an issue with increasing importance. Developers, software designers, end users, and enterprises have their own needs w.r.t. software security. Therefore, when designing software, security should be built in from the beginning, for example, by using security patterns. Utilizing security patterns already improves the security of software in early software development stages. In this paper, we show how to detect security patterns in code with the help of a reverse engineering tool-suite Bauhaus. Specifically, we describe an approach to detect the Single Access Point security pattern in two case studies using the hierarchical reflexion method implemented in Bauhaus.

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Author information

Authors and Affiliations

  1. Technologie-Zentrum Informatik, Bremen, Germany

    Michaela Bunke & Karsten Sohr

Authors
  1. Michaela Bunke
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  2. Karsten Sohr
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Editor information

Editors and Affiliations

  1. Google Inc., 1288 Pear Ave, 94043, Mountain View, CA, USA

    Úlfar Erlingsson

  2. Computer Science Department, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands

    Roel Wieringa

  3. Faculty of Mathematics and Computer Science, Eindhoven University of Technology, Den Dolech 2, 5612 AZ, Eindhoven, The Netherlands

    Nicola Zannone

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© 2011 Springer-Verlag Berlin Heidelberg

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Bunke, M., Sohr, K. (2011). An Architecture-Centric Approach to Detecting Security Patterns in Software. In: Erlingsson, Ú., Wieringa, R., Zannone, N. (eds) Engineering Secure Software and Systems. ESSoS 2011. Lecture Notes in Computer Science, vol 6542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19125-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-19125-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19124-4

  • Online ISBN: 978-3-642-19125-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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