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Security and Privacy Preservation of Evidence in Cloud Accountability Audits
Furtwangen Univ, Cloud Res Lab, Furtwangen, Germany..
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap.ORCID-id: 0000-0001-6459-8409
Furtwangen Univ, Cloud Res Lab, Furtwangen, Germany..
2016 (Engelska)Ingår i: CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2015, 2016, s. 95-114Konferensbidrag, Publicerat paper (Refereegranskat)
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Text
Abstract [en]

Cloud accountability audits are promising to strengthen trust in cloud computing by providing reassurance about the processing data in the cloud according to data handling and privacy policies. To effectively automate cloud accountability audits, various distributed evidence sources need to be considered during evaluation. The types of information range from authentication and data access logging to location information, information on security controls and incident detection. Securing that information quickly becomes a challenge in the system design, when the evidence that is needed for the audit is deemed sensitive or confidential information. This means that securing the evidence at-rest as well as in-transit is of utmost importance. In this paper, we present a system that is based on distributed software agents which enables secure evidence collection with the purpose of automated evaluation during cloud accountability audits. We thereby present the integration of Insynd as a suitable cryptographic mechanism for securing evidence. We present our reasoning for choosing Insynd by showing a comparison of Insynd properties with requirements imposed by accountability evidence collection as well as an analysis how security threats are being mitigated by Insynd. We put special emphasis on security and privacy protection in our system analysis.

Ort, förlag, år, upplaga, sidor
2016. s. 95-114
Serie
Communications in Computer and Information Science, ISSN 1865-0929 ; 581
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-41203DOI: 10.1007/978-3-319-29582-4_6ISI: 000371383500006ISBN: 978-3-319-29582-4; 978-3-319-29581-7 (tryckt)OAI: oai:DiVA.org:kau-41203DiVA, id: diva2:916335
Konferens
5th International Conference on Cloud Computing and Services Science (CLOSER), MAY 20-22, 2015, Lisbon, PORTUGAL
Tillgänglig från: 2016-04-01 Skapad: 2016-04-01 Senast uppdaterad: 2018-01-10Bibliografiskt granskad

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