Nadi, Sarah ; Krüger, Stefan (2016)
Variability Modeling of Cryptographic Components (Clafer Experience Report).
Tenth International Workshop on Variability Modelling of Software-intensive Systems. Salvador, Brazil (27.01.2016-29.01.2016)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Software systems need to use cryptography to protect any sensitive data they collect. However, there are various classes of cryptographic components (e.g., ciphers, digests, etc.), each suitable for a specific purpose. Additionally, each class of such components comes with various algorithms and configurations. Finding the right combination of algorithms and correct settings to use is often difficult. We believe that using variability modeling to model these algorithms, their relationships, and restrictions can help non-experts navigate this complex domain. In this paper, we report on our experience modeling cryptographic components in Clafer, a modeling language that combines feature modeling and metamodeling. We discuss design decisions we took as well as the challenges we ran into. Our work helps expand variability modeling into new domains and sheds lights on modeling requirements that appear in practice.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Nadi, Sarah ; Krüger, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | Variability Modeling of Cryptographic Components (Clafer Experience Report) |
| Sprache: | Englisch |
| Publikationsjahr: | Januar 2016 |
| Reihe: | Proceedings of the Tenth International Workshop on Variability Modelling of Software-intensive Systems |
| Veranstaltungstitel: | Tenth International Workshop on Variability Modelling of Software-intensive Systems |
| Veranstaltungsort: | Salvador, Brazil |
| Veranstaltungsdatum: | 27.01.2016-29.01.2016 |
| Kurzbeschreibung (Abstract): | Software systems need to use cryptography to protect any sensitive data they collect. However, there are various classes of cryptographic components (e.g., ciphers, digests, etc.), each suitable for a specific purpose. Additionally, each class of such components comes with various algorithms and configurations. Finding the right combination of algorithms and correct settings to use is often difficult. We believe that using variability modeling to model these algorithms, their relationships, and restrictions can help non-experts navigate this complex domain. In this paper, we report on our experience modeling cryptographic components in Clafer, a modeling language that combines feature modeling and metamodeling. We discuss design decisions we took as well as the challenges we ran into. Our work helps expand variability modeling into new domains and sheds lights on modeling requirements that appear in practice. |
| Freie Schlagworte: | Engineering; E1 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) LOEWE LOEWE > LOEWE-Zentren Zentrale Einrichtungen LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt 20 Fachbereich Informatik > EC SPRIDE 20 Fachbereich Informatik > EC SPRIDE > Secure Software Engineering DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen |
| Hinterlegungsdatum: | 07 Jan 2016 14:50 |
| Letzte Änderung: | 16 Apr 2019 11:46 |
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