Seifermann, Stephan <br/><br/>
Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements 

 -  KIT Scientific Publishing  2022 
 - 1 electronic resource (412 p.) 
 - The Karlsruhe Series on Software Design and Quality  v.36 .
 - The Karlsruhe Series on Software Design and Quality  v.36 .
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Программное обеспечение<br/>Криптография, безопасность
<br/><br/><label>Subjects--Index Terms: </label>Vertraulichkeit; Zugriffskontrolle; Informationsflusskontrolle; Datenflüsse; Softwarearchitektur; confidentiality; access control; information flow control; data flows; software architecture 
<br/><br/><label>Universal Decimal Class. No.: </label>004.45