TY - GEN
T1 - Personal genome privacy protection with feature-based hierarchical dual-stage encryption
AU - Zou, Xukai
AU - Liu, Peng
AU - Chen, Jake Y.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Personal Genomic information is becoming increasingly important to both scientific research and clinical practice. However, security breach, misuse, or unintended disclosure of this information may result in severe privacy breaches. Traditional privacy preservation of personal genome information is implemented in an "all-or-none" manner, i.e., an entire genome being controlled as either fully accessible or fully inaccessible. In this paper, we propose a new fine-grained privacy protection method for flexible multi-level genome information protection and access. The method can make use of any user-defined hierarchical knowledge structure to define privacy levels and control cryptography-based hierarchical access. It also implements dual-stage encryptions to allow efficient definition, addition, and update of feature-based privacy protections. The experiments show that it can be effectively implemented to deal with real personal genome data sets in the future.
AB - Personal Genomic information is becoming increasingly important to both scientific research and clinical practice. However, security breach, misuse, or unintended disclosure of this information may result in severe privacy breaches. Traditional privacy preservation of personal genome information is implemented in an "all-or-none" manner, i.e., an entire genome being controlled as either fully accessible or fully inaccessible. In this paper, we propose a new fine-grained privacy protection method for flexible multi-level genome information protection and access. The method can make use of any user-defined hierarchical knowledge structure to define privacy levels and control cryptography-based hierarchical access. It also implements dual-stage encryptions to allow efficient definition, addition, and update of feature-based privacy protections. The experiments show that it can be effectively implemented to deal with real personal genome data sets in the future.
UR - http://www.scopus.com/inward/record.url?scp=84863670583&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863670583&partnerID=8YFLogxK
U2 - 10.1109/gensips.2011.6169474
DO - 10.1109/gensips.2011.6169474
M3 - Conference contribution
AN - SCOPUS:84863670583
SN - 9781467304900
T3 - Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
SP - 178
EP - 181
BT - Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
PB - IEEE Computer Society
T2 - 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Y2 - 4 December 2011 through 6 December 2011
ER -