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Article
Computer Science, Artificial Intelligence
Mianjie Li et al.
Summary: Deep Neural Networks (DNNs) have shown rapid development in data privacy protection applications, but they require high-speed and high-memory computers for computation. Cloud computing is increasingly used for training and executing DNNs. The proposed PNC-RFD in this paper utilizes deep learning in the cloud computing for data privacy protection and demonstrates its superiority through performance analysis.
Article
Computer Science, Information Systems
Rui Sun et al.
Summary: This article proposes two resilient pseudorange error prediction and correction strategies to improve the GNSS positioning accuracy in complex urban environments. The models, based on random forest, consider factors such as carrier-to-noise density, satellite elevation angle, and local positional information. Experimental results show that the proposed models can significantly enhance the positioning accuracy compared to traditional methods without pseudorange error corrections.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Xuyang Ding et al.
Summary: In this paper, a novel mechanism is proposed to securely and efficiently complete task assignment in large-scale crowdsensing using semi-honest entities. Homomorphic encryption is used to encrypt users' location information, and collaboration between edge servers is utilized to allocate tasks and upload encrypted sensing data. Furthermore, a secure payment mechanism is introduced to address fraud problems with semi-honest edge servers.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Environmental Sciences
Alireza Sharifi et al.
Summary: This article introduces a method for detecting field borders in remote sensing images using a multi-task segmentation model. The method utilizes the ResUNet-a convolutional neural network to achieve fast and accurate border detection, and performs field segmentation using post-processing of model outputs. Experimental results demonstrate that the method can effectively identify field borders and produce precise field border and segmentation results.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2022)
Article
Automation & Control Systems
Le Wang et al.
Summary: This paper addresses the optimal sensor transmission scheduling problem in remote state estimation systems to protect state privacy in an energy-efficient manner. The problem is formulated as maximizing the eavesdropper's estimation error while guaranteeing a certain level of remote estimation performance under a given energy budget. The optimal sensor schedule groups encrypted transmissions and silent states closely, while the optimal energy allocation tends to prioritize transmitting encrypted text. The results are extended to an infinite periodic time horizon, and numerical results demonstrate the performance of the proposed methods.
Article
Computer Science, Information Systems
Abubakar Sadiq Sani et al.
Summary: Recent studies have shown that attackers exploit valid credentials and craft authentication request messages to evade authentication and access data illegitimately in smart communities. They can also spread malware and launch DDoS attacks by sending numerous authentication and data access requests. This paper proposes SPrivAD, a secure and privacy-preserving solution that enables mutual authentication and data access in smart communities. The approach utilizes a protocol called Inter-Attribute-based Zero Knowledge Proof of Knowledge (IA-ZKPK) and computational attributes derived from cryptographic operations to perform Mutually Dependent Multi-Factor Authentication and Data Access (MDMFA). The results demonstrate that SPrivAD is efficient, secure, and privacy-preserving.
COMPUTERS & SECURITY
(2022)
Article
Geography, Physical
Omosalewa Odebiri et al.
Summary: Soil organic carbon (SOC) is a critical indicator for ecosystem health and carbon management. This study used remote sensing and deep learning to model SOC stocks in different land uses in South Africa. The results showed the spatial distribution of SOC and its contributing factors. Grasslands had the highest SOC stocks, while urban vegetation had the lowest. Commercial and natural forests had higher carbon sequestration capacity. These findings are important for land-use planning and climate change mitigation in South Africa.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Seungtaek Jeong et al.
Summary: In this study, an innovative hybrid approach using machine learning and deep neural network regression techniques was developed to estimate the leaf area index (LAI) of paddy rice based on climate data. The random forest regressor was found to be the most effective LAI estimator, outperforming the deep neural network regressor. The study demonstrates that integrating machine learning and deep neural network regressors into crop models can accurately simulate LAI.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Mariem Brahem et al.
Summary: Privacy preservation in mobile crowdsensing systems is a major challenge, with current approaches not adequately taking into account users' tolerance for data usage.
PERVASIVE AND MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Xiaoyan Hu et al.
Summary: This study proposes GSChain system for efficient privacy-preserving sensing data sharing on consortium blockchain. Multiple data sharers can retrieve the sensorkey efficiently through an asymmetric group key agreement protocol, thereby improving the efficiency of data sharing and reducing the online demand for sink nodes.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Cybernetics
Jiayue Ma et al.
Summary: This paper investigates a safe consensus problem for cooperative-competitive multi-agent systems using a differential privacy approach. A novel DP bipartite consensus algorithm is proposed, which guarantees that the DP strategy only works on competitive pairs of agents. Differential privacy analysis shows that the performance of privacy protection is positively correlated with the number of neighbors, establishing a practical method for agents to select their own privacy levels.
Article
Economics
Jeffrey D. Michler et al.
Summary: This study explores the extent to which spatial anonymization methods introduce measurement error when integrating survey data with remote sensing weather data. The findings suggest that the current spatial anonymization techniques have limited to no impact on estimates of the relationship between weather and agricultural productivity. However, the choice of remote sensing weather product does affect the magnitude of measurement error.
JOURNAL OF DEVELOPMENT ECONOMICS
(2022)
Article
Telecommunications
Yiting Huang et al.
Summary: The development and maturity of cloud computing technology have led to an increasing number of companies and individuals choosing to store their data in the cloud. However, issues such as cloud server downtime and data loss pose serious problems for applications that need to run continuously. Ensuring data privacy while ensuring data integrity is a pressing issue. Existing data integrity auditing schemes have security problems. To address these issues, a blockchain-based continuous data integrity checking protocol is proposed.
DIGITAL COMMUNICATIONS AND NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Sepideh Jalayer et al.
Summary: This study detected the temporal and spatial changes in land use and land cover patterns in the Chalus watershed over the last two decades using multitemporal Landsat images and predicted future changes for the year 2040. The findings revealed a significant increase in agricultural land and barren area, and a sharp decline in grassland and forest cover. The model predicted a continued decrease in forest cover and an expansion of barren area, agricultural land, and built-up area by 2040. Understanding the spatiotemporal dynamics of land use and land cover change is crucial in minimizing destructive consequences.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Iulian Sandu Popa et al.
Summary: This research introduces a privacy-aware mobile distributed system called PAMPAS for efficient data aggregation, using secure probes to protect user location privacy while processing distributed queries. Experimental results demonstrate that the system works efficiently on resource-constrained secure probes, able to collect data, aggregate them, and share statistics in real-time.
Article
Environmental Sciences
Alireza Sharifi
Summary: Floods are one of the most devastating natural disasters in the world, causing severe damage to people's lives and infrastructure. Real-time monitoring systems and earth observation data play a crucial role in reducing flood risks and disaster response. Using machine learning algorithms with object-based classification methods can effectively monitor floods and minimize damages.
WATER AND ENVIRONMENT JOURNAL
(2021)
Article
Geochemistry & Geophysics
Guoqing Zhou et al.
Summary: This article presents an optimization method for selecting optimal building facade texture images from oblique images captured by multiple cameras onboard UAV. By using multiobjective functions and considering geometric correction, color equalization, and texture repair, the proposed method significantly reduces memory usage while maintaining high image quality.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Qi Xie et al.
Summary: Smart city can optimize urban services and improve citizen's life quality, while wireless sensor networks play a key role in solving smart city issues; however, security and privacy remain major challenges for WSN; a secure and privacy-preserving authentication protocol is proposed to address the flaws in current schemes.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2021)
Article
Geochemistry & Geophysics
Herng-Hua Chang et al.
Summary: Automatic registration of remote sensing images is a critical task that relies on establishing correspondences between sensed and reference images. While SIFT-based methods have shown superiority, challenges include eliminating mismatches and ensuring homogeneity of matches. Proposed in this article is a new registration algorithm based on a revised SIFT scheme, with an outlier removal mechanism and homogeneity enforcement to address these challenges.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Computer Science, Information Systems
Min Zhou et al.
Summary: Smart agriculture IoT utilizes IoT technology for automatic agricultural management, but agricultural IoT devices have limited resources. To protect data privacy, fog nodes are placed at the edge to process agriculture data, but there are risks of privacy leakage. The research achieved privacy-preserving range-max queries in fog-based smart agriculture IoT through encryption and comparison techniques.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2021)
Article
Environmental Sciences
Fei Zhao et al.
Summary: By analyzing toponym data, population data, and night-time light data, we visualized the development index of Yi, Wa, Zhuang, Naxi, Hani, and Dai ethnic groups in the study area, and found that the Yi nationality had the highest development index. We also studied the distribution of ethnic minorities in the study area and found that the Yi ethnic group was distributed almost throughout the study area, while other ethnic minorities had distinct geographical distribution characteristics.
Article
Computer Science, Information Systems
Yongfeng Wang et al.
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
(2020)
Article
Computer Science, Information Systems
Xiaohua Ge et al.
INFORMATION SCIENCES
(2020)
Article
Engineering, Electrical & Electronic
Yang Liu et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Abla Smahi et al.
PERVASIVE AND MOBILE COMPUTING
(2020)
Article
Computer Science, Information Systems
Mayra A. Zurbaran et al.
Article
Computer Science, Information Systems
Moneer Fakroon et al.
INTERNET OF THINGS
(2020)
