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.-30.8. 2017, DOI: 10.1109/pst.2017.00040,
[Conference or Workshop Item]
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Traverso, Giulia ; Garcia Cordero, Carlos ; Nojoumian, Mehrdad ; Azarderakhsh, Reza ; Demirel, Denise ; Habib, Sheikh Mahbub ; Buchmann, Johannes |
| Title: | Evidence-Based Trust Mechanism Using Clustering Algorithms for Distributed Storage Systems |
| Language: | English |
| 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. |
| Uncontrolled Keywords: | Solutions; S6; SPIN: Smart Protection in Infrastructures and Networks |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Theoretical Computer Science - Cryptography and Computer Algebra 20 Department of Computer Science > Telecooperation DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres Profile Areas Profile Areas > Cybersecurity (CYSEC) LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments |
| Event Title: | 15th Annual Conference on Privacy, Security and Trust (PST) |
| Event Location: | Calgary, Canada |
| Event Dates: | 28.-30.8. 2017 |
| Date Deposited: | 05 Sep 2017 10:35 |
| DOI: | 10.1109/pst.2017.00040 |
| URL / URN: | https://doi.org/10.1109%2Fpst.2017.00040 |
| Identification Number: | TUD-CS-2017-0237 |
| Corresponding Links: | |
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