Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Hsiao-Yingen_US
dc.contributor.authorShen, Shiuan-Tzuoen_US
dc.contributor.authorTzeng, Wen-Gueyen_US
dc.contributor.authorLin, Bao-Shuh P.en_US
dc.date.accessioned2019-04-02T06:04:15Z-
dc.date.available2019-04-02T06:04:15Z-
dc.date.issued2012-01-01en_US
dc.identifier.issn1550-445Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/AINA.2012.28en_US
dc.identifier.urihttp://hdl.handle.net/11536/150560-
dc.description.abstractWith the increasing popularity of cloud computing, Hadoop has become a widely used open source cloud computing framework for large scale data processing. However, few studies have been done to enhance data confidentiality of Hadoop against storage servers. In this paper, we address the data confidentiality issue by integrating hybrid encryption schemes and the Hadoop distributed file system (HDFS). We propose and implement two integrations, HDFS-RSA and HDFS-Pairing, as extensions of HDFS. Experiments are conducted to demonstrate the performance overhead of HDFS-RSA and HDFS-Pairing. Our integrations provide alternatives toward achieving data confidentiality for Hadoop.en_US
dc.language.isoen_USen_US
dc.titleToward Data Confidentiality via Integrating Hybrid Encryption Schemes and Hadoop Distributed File Systemen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/AINA.2012.28en_US
dc.identifier.journal2012 IEEE 26TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA)en_US
dc.citation.spage740en_US
dc.citation.epage747en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000309071500101en_US
dc.citation.woscount9en_US
Appears in Collections:Conferences Paper