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216. Fine-Grained Data Sharing With Enhanced Privacy Protection and Dynamic Users Group Service for the IoV

Author

Bao, Yangyang, Qiu, Weidong, Cheng, Xiaochun, and Sun, Jianfei

Abstract

The Internet of Vehicles (IoV) is expected to play a revolutionary role in improving users’ driving experience and urban traffic governance. By widely absorbing emerging technologies including cloud computing, the future IoV evolution is leading towards providing more flexible and diversified data services. However, the publicly accessible IoV environment arouses the user’s concerns about the leakage of data and personal privacy. Despite some cryptographic solutions have been proposed, they still raise challenges on privacy, efficiency and usability. To cope with these challenges, this paper first presents an efficient scheme PH-ABE-DS, which attains the full policy hiding by implementing the access control with the inner product. Besides, we design an efficient indirect revocation mechanism, to enable the cloud and users to update the ciphertext and user secret key with slight storage and computational overheads. On this basis, we then present the EA-PH-ABE-DS scheme, by resorting to edge computing, it further reduces the overheads of resource-constrained devices. We design a deployment model for EA-PH-ABE-DS in IoV to discuss its usability. Rigorous security proof and security properties analysis show that our proposal is secure and reliable. Finally, through detailed comparisons on theoretical and experimental, both our two schemes show their superiority over the latest related works in terms of functionality and performance. The simulation evaluates and demonstrates the practicality of our solutions in practical IoT scenarios.

Published
2023
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240. Rotation with green manure increased rice yield and soil carbon in paddies from Yangtze River valley, China:BENEFITS FOR PADDY RICE-GREEN MANURE ROTATION

Author

Yue, Qian, Sun, Jianfei, Hillier, Jon, SHENG, Jing, GUO, Zhi, ZHU, Puping, Cheng, Kun, Pan, Genxing, Li, Yunpeng, and Wang, Xin

Subjects
Yangtze River, green manure, random forest model, paddy rice, soil C sequestration, soil quality
Abstract

The addition of organic matter via green manure rotations in paddy rice has previously been proposed as a smart agricultural practice to maintain soil productivity and support environmental sustainability. However, to date, only a few studies have assessed quantitatively the impact of green manure application on the interactions between agronomic management practices, soil fertility, and crop production. In this study, 800 pairs of data from 108 studies, conducted in the Yangtze River agricultural region of China were assessed, and a meta-analysis was carried out to evaluate and quantify the effect of green manure application on rice yield and soil properties. Firstly, compared to a winter fallow system, amendment with green manure significantly increased paddy rice yield and soil organic carbon (SOC) by 8.1% and 8.4%, respectively. Secondly, analysis using a Random Forest model revealed that paddy rice type, green manure application rate and duration, mineral and organic N fertilizer rate, and initial SOC and pH were identified as the main drivers for paddy rice yield and SOC change. Finally, Marginal Benefit Analysis (MBA) revealed that green manure application rates for production in early rice of double cropping rice (ER) and single rice (SR) were approximately of 20 and 26 t ha-1 respectively. and further, for carbon sequestration, that the optimal rate was ~25 t ha-1. It should, however, be noted that green manure application to soils with already high SOC level might result in the soil becoming a net C source. The study supported the scientific and quantitative indicators for achieving the best benefits of paddy rice yield and SOC increase after green manure application.

Published
2022

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