Show simple item record

AuthorKhan, Khaled M.
AuthorShaheen, Mahboob
Available date2024-04-02T06:04:49Z
Publication Date2015
Publication NameProceedings - 2015 IEEE International Conference on Software Quality, Reliability and Security-Companion, QRS-C 2015
ResourceScopus
URIhttp://dx.doi.org/10.1109/QRS-C.2015.41
URIhttp://hdl.handle.net/10576/53789
AbstractThis paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with adding random noise and shuffling in order to ensure confidentiality and privacy. In our approach, obfuscated matrices are sent to servers without any public key encryption. While it computes on matrices, the server is unable to extract or derive actual values either from obfuscated matrices or from computed multiplication results. Whereas, clients can extract actual computed values using a very insignificant computing effort from results produced by the server.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectConfidentiality
Data obfuscation
Matrix multiplication
Privacy
Secure services
TitleData Obfuscation for Privacy and Confidentiality in Cloud Computing
TypeConference Paper
Pagination195-196
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record