Sedic: Privacy-aware data intensive computing on hybrid clouds

Proceedings of the ACM Conference on Computer and Communications Security

Volumn , Issue , 2011, Pages 515-525

  Zhang, Kehuan ^a   Zhou, Xiaoyong ^a   Chen, Yangyi ^a   Wang, Xiao Feng ^a   Ruan, Yaoping ^b  

^a INDIANA UNIVERSITY   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Automatic program analysis; Cloud security; Computation split; Data privacy; MapReduce

Indexed keywords

AUTOMATIC PROGRAMS; CLOUD SERVICES; COMPUTING WORKLOADS; COMPUTING-TASK; DATA BLOCKS; DATA PLACEMENT; DATA-INTENSIVE COMPUTING; DISTRIBUTED FILE SYSTEMS; LEGACY CODE; MAP TASK; MAP-REDUCE; OUTSOURCE; PRIVACY CONCERNS; PRIVATE DATA; SECURITY LEVEL; SENSITIVE DATAS; USER DATA;

COMPUTER PRIVACY; COST BENEFIT ANALYSIS; DATA PRIVACY;

CLOUD COMPUTING;

EID: 80755169468     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2046707.2046767     Document Type: Conference Paper

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