TY - JOUR
T1 - HUCDO
T2 - A Hybrid User-centric Data Outsourcing Scheme
AU - Huang, Ke
AU - Zhang, Xiaosong
AU - Wang, Xiaofen
AU - Mu, Yi
AU - Rezaeibagha, Fatemeh
AU - Xu, Guangquan
AU - Wang, Hao
AU - Zheng, Xi
AU - Yang, Guomin
AU - Xia, Qi
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/5
Y1 - 2020/5
N2 - Outsourcing helps relocate data from the cyber-physical system (CPS) for efficient storage at low cost. Current server-based outsourcing mainly focuses on the benefits of servers. This cannot attract users well, as their security, efficiency, and economy are not guaranteed. To solve with this issue, a hybrid outsourcing model that exploits both cloud server and edge devices to store data is needed. Meanwhile, the requirements of security and efficiency are different under specific scenarios. There is a lack of a comprehensive solution that considers all of the above issues. In this work, we overcome the above issues by proposing the first hybrid user-centric data outsourcing (HUCDO) scheme. It allows users to outsource data securely, efficiently, and economically via different CPSs. Brielly, our contributions consist of theories, implementations, and evaluations. Our theories include the first homomorphic collision-resistant chameleon hash (HCCH) and homomorphic designated-receiver signcryption (HDRS). As implementations, we instantiate how to use our proposals to outsource small- or large-scale data through distinct CPS, respectively. Additionally, a blockchain with proof-of-discrete-logarithm (B-PoDL) is instantiated to help improve our performance. Last, as demonstrated by our evaluations, our proposals are secure, efficient, and economic for users to implement while outsourcing their data via CPSs.
AB - Outsourcing helps relocate data from the cyber-physical system (CPS) for efficient storage at low cost. Current server-based outsourcing mainly focuses on the benefits of servers. This cannot attract users well, as their security, efficiency, and economy are not guaranteed. To solve with this issue, a hybrid outsourcing model that exploits both cloud server and edge devices to store data is needed. Meanwhile, the requirements of security and efficiency are different under specific scenarios. There is a lack of a comprehensive solution that considers all of the above issues. In this work, we overcome the above issues by proposing the first hybrid user-centric data outsourcing (HUCDO) scheme. It allows users to outsource data securely, efficiently, and economically via different CPSs. Brielly, our contributions consist of theories, implementations, and evaluations. Our theories include the first homomorphic collision-resistant chameleon hash (HCCH) and homomorphic designated-receiver signcryption (HDRS). As implementations, we instantiate how to use our proposals to outsource small- or large-scale data through distinct CPS, respectively. Additionally, a blockchain with proof-of-discrete-logarithm (B-PoDL) is instantiated to help improve our performance. Last, as demonstrated by our evaluations, our proposals are secure, efficient, and economic for users to implement while outsourcing their data via CPSs.
KW - Chameleon hash
KW - blockchain
KW - hybrid data outsourcing
KW - signcryption
UR - http://www.scopus.com/inward/record.url?scp=85085469914&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085469914&partnerID=8YFLogxK
U2 - 10.1145/3379464
DO - 10.1145/3379464
M3 - Article
AN - SCOPUS:85085469914
SN - 2378-962X
VL - 4
JO - ACM Transactions on Cyber-Physical Systems
JF - ACM Transactions on Cyber-Physical Systems
IS - 3
M1 - 3379464
ER -