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Secure data Sharing and retrieval Using Attribute-Based Encryption in Cloud-Based OSNs

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Chinese Journal of Electronics 2014年第3期23卷 557-563页

作者： HUANG Qinlong MA Zhaofeng YANG Yixian FU Jingyi NIU Xinxin Information Security Center Beijing University of Posts and Telecommunications National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications

The Online social networks(OSNs) offer attractive means for social interactions and data sharing,but also raise a number of security and privacy issues. Since the OSNs service provider is always semi-trusted, current solutions propose to encrypt data before sharing. However,data encryption causes a lot of inconveniences and large overheads for data dissemination and data retrieval. In this paper, we propose a secure data sharing and retrieval scheme in cloud-based OSNs. Based on ciphertext-policy attribute-based encryption, our scheme achieves multiparty access control, which allows data owners to outsource encrypted data to the OSNs service provider for sharing,and enables data disseminators to disseminate the data owners’ data by customizing new access policy. Our scheme also provides searchable encryption scheme to support fast searches in massive amount of encrypted data from both data owners and data disseminators. Further, our scheme preserves the privacy of data owners and data retrievers during the data sharing and retrieval processes. In addition, the computation overhead of data retrievers is reduced by delegating most of the decryption operations to the OSNs service provider. The security and performance analysis results indicate that our scheme is secure and privacy-preserving.

关键词： Attribute-based encryption data sharing data retrieval Searchable encryption Online social networks

Privacy Preserved data retrieval Over Encrypted data

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Privacy Preserved Data Retrieval Over Encrypted Data

作者：阿西广西大学

学位级别：硕士

Cloud Computing is growing up technology in current era,we can say it is being used widely in our daily life and it has become essential part of the *** computing provides us to online access of computational and network resources by using *** services offer us to low cost and provide large amount of storage for data to attract end users on *** of the most popular and worldwide service is called data *** is convenient and low cast way for public and private organizations as well to outsource their date,they enjoy the advantages of remote storage and management,file sharing,back-up servers,email platform *** daily life,files storage is one of the common uses of *** the same time concern is that to store important and sensitive data on un-trusted cloud *** this concern we always use encryption scheme to encrypt sensitive information to outsource.A casual way to download the data,decrypting and searching our demanded data locally is not the efficient and meaningless when we store our important information on *** servers must enable searching scheme to retrieve encrypted data without unauthentic users because we cannot depend on severs own security,users don’t want to take risk on their sensitive *** this dissertation,we will discuss about retrieval encryption schemes from encrypted data by *** retrieval from cloud by using ranked search,keyword search and hierarchical index search,However,traditional searchable encryption techniques use Boolean search to search data via keywords,but this technique does not satisfy the effective data utilization for multi users data need and also to retrieved big data files from *** has been proposed index techniques where we can allocate the sequence on the cloud and encrypt it when it is outsourced but they have not ability to keep in order preserving-position when users fetch the ciphertext from the *** problem is solved by using ranked keyword se

关键词： cloud computing ranked keyword search data retrieval hierarchical index search privacy preserved

A Transfer Function Design for Medical Volume data Using a Knowledge database Based on Deep Image and Primitive Intensity Profile Features retrieval

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Journal of Computer Science & Technology 2024年第2期39卷 320-335页

作者： Younhyun Jung Jim Kong 盛斌 Jinman Kim School of Computing Gachon UniversitySeongnam 13120Korea School of Computer Science The University of SydneySydney 2006Australia Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Direct volume rendering(DVR)is a technique that emphasizes structures of interest(SOIs)within a volume visually,while simultaneously depicting adjacent regional information,e.g.,the spatial location of a structure concerning its *** DVR,transfer function(TF)plays a key role by enabling accurate identification of SOIs interactively as well as ensuring appropriate visibility of *** generation typically involves non-intuitive trial-and-error optimization of rendering parameters,which is time-consuming and *** at mitigating this manual process have led to approaches that make use of a knowledge database consisting of pre-designed TFs by domain *** these approaches,a user navigates the knowledge database to find the most suitable pre-designed TF for their input volume to visualize the *** these approaches potentially reduce the workload to generate the TFs,they,however,require manual TF navigation of the knowledge database,as well as the likely fine tuning of the selected TF to suit the *** this work,we propose a TF design approach,CBR-TF,where we introduce a new content-based retrieval(CBR)method to automatically navigate the knowledge *** of pre-designed TFs,our knowledge database contains volumes with SOI *** an input volume,our CBR-TF approach retrieves relevant volumes(with SOI labels)from the knowledge database;the retrieved labels are then used to generate and optimize TFs of the *** approach largely reduces manual TF navigation and fine *** our CBR-TF approach,we introduce a novel volumetric image feature which includes both a local primitive intensity profile along the SOIs and regional spatial semantics available from the co-planar images to the *** the regional spatial semantics,we adopt a convolutional neural network to obtain high-level image feature *** the intensity profile,we extend the dynamic time warping technique to address subtle alignment

关键词： data retrieval direct volume rendering ray analysis transfer function

An improved coverage-oriented retrieval algorithm for large-area remote sensing data

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International Journal of Digital Earth 2022年第1期15卷 606-625页

作者： Xuejing Yan Shibin Liu Wei Liu Qin Dai Aerospace Information Research Institute Chinese Academy of SciencesBeijingPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China

With the rapid development of satellite technology,the amount of remote sensing data and demand for remote sensing data analysis over large areas are greatly ***,it is necessary to quickly filter out an optimal dataset from massive dataset to support various remote sensing ***,with the improvements in temporal and spatial resolution,remote sensing data have become fragmented,which brings challenges to data *** present,most data service platforms rely on the query engines to retrieve *** results still have a large amount of data with a high degree of overlap,which must be manually selected for further *** process is very labour-intensive and *** paper proposes an improved coverage-oriented retrieval algorithm that aims to retrieve an optimal image combination with the minimum number of images closest to the imaging time of interest while maximized covering the target *** retrieval efficiency of this algorithm was analysed by applying different implementation practices:Arcpy,PyQGIS,and *** experimental results confirm the effectiveness of the algorithm and suggest that the GeoPandas-based approach is most advantageous when processing large-area data.

关键词： Remote sensing data large-area data retrieval optimal image combination

SIRENE: A Spatial data Infrastructure to Enhance Communities' Resilience to Disaster-Related Emergency

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International Journal of Disaster Risk Science 2018年第1期9卷 129-142页

作者： Simone Sterlacchini Gloria Bordogna Giacomo Cappellini Debora Voltolina Institute for the Dynamics of Environmental Processes –National Research Council of Italy (CNR-IDPA) Institute for Electromagnetic Sensing of the Environment –National Research Council of Italy (CNR-IREA)

Planning in advance to prepare for and respond to a natural hazard-induced disaster-related emergency is a key action that allows decision makers to mitigate unexpected impacts and potential damage. To further this aim, a collaborative, modular, and information and communications technology-based Spatial data Infrastructure(SDI)called SIRENE—Sistema Informativo per la Preparazione e la Risposta alle Emergenze(Information System for Emergency Preparedness and Response) is designed and implemented to access and share, over the Internet, relevant multisource and distributed geospatial data to support decision makers in reducing disaster risks. SIRENE flexibly searches and retrieves strategic information from local and/or remote repositories to cope with different emergency phases. The system collects, queries, and analyzes geographic information provided voluntarily by observers directly in the field(volunteered geographic information(VGI) reports) to identify potentially critical environmental conditions. SIRENE can visualize and cross-validate institutional and research-based data against VGI reports,as well as provide disaster managers with a decision support system able to suggest the mode and timing of intervention, before and in the aftermath of different types of emergencies, on the basis of the available information and in agreement with the laws in force at the national andregional levels. Testing installations of SIRENE have been deployed in 18 hilly or mountain municipalities(12 located in the Italian Central Alps of northern Italy, and six in the Umbria region of central Italy), which have been affected by natural hazard-induced disasters over the past years(landslides, debris flows, floods, and wildfire) and experienced significant social and economic losses.

关键词： data retrieval Decision support system Disaster management Italy Spatial data infrastructure Susceptibility/hazard and risk maps Volunteered geographic information

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The Complete K-Level Tree and Its Application to data Warehouse Filtering

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High Technology Letters 2003年第4期9卷 13-16页

作者：马琳 Wang Kuanquan Li Haifeng Zucker J D School of Computer Science and Technology Harbin Institute of Technology Harbin 150001P.R.China Computer Science Laboratory University Paris 6 8 Rue du Capitaine Scott 75015 Paris France

This paper presents a simple complete K level tree (CKT) architecture for text database organization and rapid data filtering. A database is constructed as a CKT forest and each CKT contains data of the same length. The maximum depth and the minimum depth of an individual CKT are equal and identical to data’s length. Insertion and deletion operations are defined; storage method and filtering algorithm are also designed for good compensation between efficiency and complexity. Applications to computer aided teaching of Chinese and protein selection show that an about 30% reduction of storage consumption and an over 60% reduction of computation may be easily obtained.

关键词： complete K level tree data warehouse organization data filtering data retrieval

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Analysis of the Application of“Jing(精)”in Ben Cao Gang Mu(《本草纲自〉Compendium of Materia Medica)

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Chinese Medicine and Culture 2020年第2期3卷 99-104页

作者： Yiwen Yang Xiaobei Jiang Baican Yang School of Pharmacy Shanghai University of Traditional Chinese MedicineShanghaiChina

Taking the Ben Cao Gang Mu(《本草纲目》Compendium of Materia Medica)(Jinling edition金陵本)as the research object and“Jing”as the search term,this article summarizes the quantity of medicinals containing“Jing”in Ben Cao Gang Mu,analyzes the connotation and application of“Jing”in traditional Chinese medicine,and finds that the application of“Jing”in medicine does not deviate from the original meaning of“Jing,”but endows it with the concepts of medicine and pharmacy,and expands the application scope of“Jing.”This study is helpful to understand and use spermicide more reasonably.

关键词： Ben Cao GangMu(《本草纲目》Compendium of Materia Medica) Jing(精) data retrieval Jinling edition literature research traditional Chinese medicine

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