Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements
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) |
Download or read book Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements 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. 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.