Traverso, Giulia ; Garcia Cordero, Carlos ; Nojoumian, Mehrdad ; Azarderakhsh, Reza ; Demirel, Denise ; Habib, Sheikh Mahbub ; Buchmann, Johannes (2017)
Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems.
15th Annual Conference on Privacy, Security and Trust (PST). Calgary, Canada (28.08.2017-30.08.2017)
doi: 10.1109/pst.2017.00040
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In distributed storage systems, documents are shared among multiple Cloud providers and stored within their respective storage servers. In social secret sharing-based distributed storage systems, shares of the documents are allocated according to the trustworthiness of the storage servers. This paper proposes a trust mechanism using machine learning techniques to compute evidence-based trust values. Our mechanism mitigates the effect of colluding storage servers. More precisely, it becomes possible to detect unreliable evidence and establish countermeasures in order to discourage the collusion of storage servers. Furthermore, this trust mechanism is applied to the social secret sharing protocol AS3, showing that this new evidence-based trust mechanism enhances the protection of the stored documents.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Traverso, Giulia ; Garcia Cordero, Carlos ; Nojoumian, Mehrdad ; Azarderakhsh, Reza ; Demirel, Denise ; Habib, Sheikh Mahbub ; Buchmann, Johannes |
| Art des Eintrags: | Bibliographie |
| Titel: | Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems |
| Sprache: | Englisch |
| Publikationsjahr: | August 2017 |
| Veranstaltungstitel: | 15th Annual Conference on Privacy, Security and Trust (PST) |
| Veranstaltungsort: | Calgary, Canada |
| Veranstaltungsdatum: | 28.08.2017-30.08.2017 |
| DOI: | 10.1109/pst.2017.00040 |
| URL / URN: | https://doi.org/10.1109%2Fpst.2017.00040 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In distributed storage systems, documents are shared among multiple Cloud providers and stored within their respective storage servers. In social secret sharing-based distributed storage systems, shares of the documents are allocated according to the trustworthiness of the storage servers. This paper proposes a trust mechanism using machine learning techniques to compute evidence-based trust values. Our mechanism mitigates the effect of colluding storage servers. More precisely, it becomes possible to detect unreliable evidence and establish countermeasures in order to discourage the collusion of storage servers. Furthermore, this trust mechanism is applied to the social secret sharing protocol AS3, showing that this new evidence-based trust mechanism enhances the protection of the stored documents. |
| Freie Schlagworte: | Solutions; S6; SPIN: Smart Protection in Infrastructures and Networks |
| ID-Nummer: | TUD-CS-2017-0237 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Theoretische Informatik - Kryptographie und Computeralgebra 20 Fachbereich Informatik > Telekooperation DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen |
| Hinterlegungsdatum: | 05 Sep 2017 10:35 |
| Letzte Änderung: | 24 Jun 2020 08:19 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum