TY - GEN
T1 - A novel privacy preserving search technique for stego data in untrusted cloud
AU - Rahman, Mohammad Saidur
AU - Khalil, Ibrahim
AU - Yi, Xun
AU - Gu, Tao
N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2019
Y1 - 2019
N2 - We propose the first privacy preserving search technique for stego health data in untrusted cloud in this paper. The Cloud computing is a popular technology to the healthcare providers for outsourcing health data due to flexibility and cost effectiveness. However, outsourcing health data to the cloud introduces serious privacy issues to the patient. For example, dishonest personnel of the cloud provider may disclose patient sensitive information to business organizations for some financial benefits. Using steganography, patient sensitive information is hidden within health data for privacy preservation. As a result, stego health data is generated. To the best of our knowledge, no method exists for searching a particular stego data without disclosing any information to the cloud. We propose a framework for privacy preserving search over stego health data. We systematically describe each component of the proposed framework. We conduct several experiments to evaluate the performance of the framework.
AB - We propose the first privacy preserving search technique for stego health data in untrusted cloud in this paper. The Cloud computing is a popular technology to the healthcare providers for outsourcing health data due to flexibility and cost effectiveness. However, outsourcing health data to the cloud introduces serious privacy issues to the patient. For example, dishonest personnel of the cloud provider may disclose patient sensitive information to business organizations for some financial benefits. Using steganography, patient sensitive information is hidden within health data for privacy preservation. As a result, stego health data is generated. To the best of our knowledge, no method exists for searching a particular stego data without disclosing any information to the cloud. We propose a framework for privacy preserving search over stego health data. We systematically describe each component of the proposed framework. We conduct several experiments to evaluate the performance of the framework.
KW - Security and Privacy Challenges in Healthcare
KW - Information Technology in Healthcare
KW - privacy in healthcare
KW - search over stego data
KW - privacy preserving search
KW - untrusted cloud
KW - steganography
UR - http://www.scopus.com/inward/record.url?scp=85099176473&partnerID=8YFLogxK
U2 - 10.24251/HICSS.2019.513
DO - 10.24251/HICSS.2019.513
M3 - Conference proceeding contribution
SN - 9780998133126
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 4246
EP - 4255
BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
A2 - Bui, Tung X.
PB - University of Hawaii at Manoa
CY - Maui, Hawaii
T2 - 52nd Annual Hawaii International Conference on System Sciences, HICCS 2019
Y2 - 8 January 2019 through 11 January 2019
ER -