Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements
Download or Read eBook Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements PDF written by Seifermann, Stephan and published by KIT Scientific Publishing. This book was released on 2022-12-09 with total page 412 pages. Available in PDF, EPUB and Kindle.
Author | : Seifermann, Stephan |
Publisher | : KIT Scientific Publishing |
Total Pages | : 412 |
Release | : 2022-12-09 |
ISBN-10 | : 9783731512462 |
ISBN-13 | : 3731512467 |
Rating | : 4/5 (62 Downloads) |
Book Synopsis Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements by : Seifermann, Stephan
Book excerpt: Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. Systems specify data flows and confidentiality requirements specify limitations of data flows. Software architects use detected violations of these limitations to improve the system. We demonstrate how to integrate our approach into existing development processes.