TY - GEN
T1 - Provably secure dual-mode publicly verifiable computation protocol in marine wireless sensor networks
AU - Zhang, Kai
AU - Wei, Lifei
AU - Li, Xiangxue
AU - Qian, Haifeng
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - In the marine wireless sensor networks, marine sensors collect multidimensional data such as temperature, salinity, dissolved oxygen and chlorophyll concentration in the ocean using a single hardware unit for further statistical analysis. Once these data are collected, they will be sent to the satellites or vessels for scientific information processing purposes, e.g. computing the mean, the variance and making regression analysis. Verifiable computation (VC) always allows the computationally weak parties to execute computing function operations over outsourced data sets or perform data sets towards outsourced functions to the cloud and still provides an efficient way to verify the returned result, which is an important issue in marine wireless sensor networks. However, the oceangoing voyage vessels always have low computational abilities, in such a way that they may outsource some computations (that need expensive computation costs by themselves) to the data center on the land (e.g. cloud). The computational results cannot be used directly since the cloud may return an incorrect outcome for some profits. Hence, we design a secure publicly VC protocol called DM−PVC, which supports both public delegation and public verifiability properties and tackles outsourced functions and outsourced data sets in a combined way. We additionally prove the proposed DM−PVC secure in the random oracle model and evaluate its performance in the end.
AB - In the marine wireless sensor networks, marine sensors collect multidimensional data such as temperature, salinity, dissolved oxygen and chlorophyll concentration in the ocean using a single hardware unit for further statistical analysis. Once these data are collected, they will be sent to the satellites or vessels for scientific information processing purposes, e.g. computing the mean, the variance and making regression analysis. Verifiable computation (VC) always allows the computationally weak parties to execute computing function operations over outsourced data sets or perform data sets towards outsourced functions to the cloud and still provides an efficient way to verify the returned result, which is an important issue in marine wireless sensor networks. However, the oceangoing voyage vessels always have low computational abilities, in such a way that they may outsource some computations (that need expensive computation costs by themselves) to the data center on the land (e.g. cloud). The computational results cannot be used directly since the cloud may return an incorrect outcome for some profits. Hence, we design a secure publicly VC protocol called DM−PVC, which supports both public delegation and public verifiability properties and tackles outsourced functions and outsourced data sets in a combined way. We additionally prove the proposed DM−PVC secure in the random oracle model and evaluate its performance in the end.
KW - Dual-Mode
KW - Marine wireless sensor networks
KW - Outsourcing computation
KW - Provably secure
KW - Verifiable computation
UR - https://www.scopus.com/pages/publications/85026408458
U2 - 10.1007/978-3-319-60033-8_19
DO - 10.1007/978-3-319-60033-8_19
M3 - 会议稿件
AN - SCOPUS:85026408458
SN - 9783319600321
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 210
EP - 219
BT - Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Proceedings
A2 - Zhang, Yan
A2 - Khreishah, Abdallah
A2 - Yan, Mingyuan
A2 - Ma, Liran
PB - Springer Verlag
T2 - 12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017
Y2 - 19 June 2017 through 21 June 2017
ER -