TY - JOUR
T1 - Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Smart Grid
AU - Guan, Zhitao
AU - Li, Jing
AU - Wu, Longfei
AU - Zhang, Yue
AU - Wu, Jun
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, while the substantial amount of data is stored and managed in the cloud server. Achieving data security and system efficiency in the data acquisition and transmission process are of great significance and challenging, because the power grid-related data is sensitive and in huge amount. In this paper, we present an efficient and secure data acquisition scheme based on ciphertext policy attribute-based encryption. Data acquired from the terminals will be partitioned into blocks and encrypted with its corresponding access subtree in sequence, thereby the data encryption and data transmission can be processed in parallel. Furthermore, we protect the information about the access tree with threshold secret sharing method, which can preserve the data privacy and integrity from users with the unauthorized sets of attributes. The formal analysis demonstrates that the proposed scheme can fulfill the security requirements of the Cloud-IoT in smart grid. The numerical analysis and experimental results indicate that our scheme can effectively reduce the time cost compared with other popular approaches.
AB - Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, while the substantial amount of data is stored and managed in the cloud server. Achieving data security and system efficiency in the data acquisition and transmission process are of great significance and challenging, because the power grid-related data is sensitive and in huge amount. In this paper, we present an efficient and secure data acquisition scheme based on ciphertext policy attribute-based encryption. Data acquired from the terminals will be partitioned into blocks and encrypted with its corresponding access subtree in sequence, thereby the data encryption and data transmission can be processed in parallel. Furthermore, we protect the information about the access tree with threshold secret sharing method, which can preserve the data privacy and integrity from users with the unauthorized sets of attributes. The formal analysis demonstrates that the proposed scheme can fulfill the security requirements of the Cloud-IoT in smart grid. The numerical analysis and experimental results indicate that our scheme can effectively reduce the time cost compared with other popular approaches.
KW - Ciphertext policy attribute-based encryption (CP-ABE)
KW - Cloud-supported IoT (Cloud-IoT)
KW - data acquisition
KW - parallel
KW - smart grid
UR - http://www.scopus.com/inward/record.url?scp=85039151726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039151726&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2017.2690522
DO - 10.1109/JIOT.2017.2690522
M3 - Article
AN - SCOPUS:85039151726
VL - 4
SP - 1934
EP - 1944
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 6
M1 - 7891593
ER -