TY - GEN
T1 - A security aware stream data processing scheme on the cloud and its eficient execution methods
AU - Tomiyama, Katsuhiro
AU - Kawashima, Hideyuki
AU - Kitagawa, Hiroyuki
PY - 2012
Y1 - 2012
N2 - In order to process a few thousands of streams in real-time, public clouds seem to be an excellent choice since it supports massively amount of computing resources. A public cloud may be managed by a third party and outside the firewall of the organization, which may make it questionable whether data are managed conffidentially. This paper proposes a scheme that evaluates queries over encrypted data streams. Our scheme is based on CryptDB and its modification. We describe performance issues incurred by our scheme, and propose an approach to reduce the encryption costs and amounts of transmitted data size, and an approach to reduce memory usage by analyzing a plan tree in an SPE. The result of experiments showed that applying AP-1 reduces 90 % memory size, while applying AP-2 reduces 11 % memory size.
AB - In order to process a few thousands of streams in real-time, public clouds seem to be an excellent choice since it supports massively amount of computing resources. A public cloud may be managed by a third party and outside the firewall of the organization, which may make it questionable whether data are managed conffidentially. This paper proposes a scheme that evaluates queries over encrypted data streams. Our scheme is based on CryptDB and its modification. We describe performance issues incurred by our scheme, and propose an approach to reduce the encryption costs and amounts of transmitted data size, and an approach to reduce memory usage by analyzing a plan tree in an SPE. The result of experiments showed that applying AP-1 reduces 90 % memory size, while applying AP-2 reduces 11 % memory size.
KW - Data Stream Processing
KW - Encryption
KW - Relational Operators
UR - http://www.scopus.com/inward/record.url?scp=84870499775&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870499775&partnerID=8YFLogxK
U2 - 10.1145/2390021.2390033
DO - 10.1145/2390021.2390033
M3 - Conference contribution
AN - SCOPUS:84870499775
SN - 9781450317085
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 59
EP - 66
BT - CloudDB'12 - Proceedings of the 3rd ACM International Workshop on Cloud Data Management, Co-located with CIKM 2012
T2 - 3rd ACM International Workshop on Cloud Data Management, CloudDB 2012 - Co-located with CIKM 2012
Y2 - 29 October 2012 through 29 October 2012
ER -