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Data security Storage Model of the Internet of Things Based on Blockchain

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Computer Systems Science & Engineering 2021年第1期36卷 213-224页

作者： Pingshui Wang Willy Susilo School of Management Science and Engineering Anhui University of Finance and EconomicsBengbu233030China School of Computing and Information Technology University of WollongongWollongong2522Australia

With the development of information technology,the Internet of Things(IoT)has gradually become the third wave of the worldwide information industry revolution after the computer and the Internet.The application of the IoT has brought great convenience to people’s production and life.However,the potential information security problems in various IoT applications are gradually exposed and people pay more attention to them.The traditional centralized data storage and management model of the IoT is easy to cause transmission delay,single point of failure,privacy disclosure and other problems,and eventually leads to unpredictable behavior of the system.Blockchain technology can effectively improve the operation and Data security status of the IoT.Referring to the storage model of the Fabric blockchain project,this paper designs a Data security storage model suitable for the IoT system.The simulation results show that the model is not only effective and extensible,but also can better protect the Data security of the Internet of Things.

关键词： Internet of Things(IoT) blockchain Data security digital signatures encryption model

Protecting data Mobility in Cloud Networks Using MetaData security

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Computer Systems Science & Engineering 2022年第7期42卷 105-120页

作者： R.Punithavathi M.Kowsigan R.Shanthakumari Miodrag Zivkovic Nebojsa Bacanin Marko Sarac Department of Information Technology M.Kumarasamy College of EngineeringKarur639113India Department of Computer Science and Engineering School of ComputingSRM Institute of TechnologyKattankulathur CampusChennai603203India Department of Information Technology Kongu Engineering CollegeErode638060India Singidunum University Belgrade11000Serbia

At present,health care applications,government services,and banking applications use big data with cloud storage to process and implement data.data mobility in cloud environments uses protection protocols and algorithms to secure sensitive user data.Sometimes,data may have highly sensitive information,lead-ing users to consider using big data and cloud processing regardless of whether they are secured are not.Threats to sensitive data in cloud systems produce high risks,and existing security methods do not provide enough security to sensitive user data in cloud and big data environments.At present,several security solu-tions support cloud systems.Some of them include Hadoop Distributed File Sys-tem(HDFS)baseline Kerberos security,socket layer-based HDFS security,and hybrid security systems,which have time complexity in providing security inter-actions.Thus,mobile Data security algorithms are necessary in cloud environ-ments to avoid time risks in providing security.In our study,we propose a data mobility and security(DMoS)algorithm to provide security of data mobility in cloud environments.By analyzing metadata,data are classiﬁed as secured and open data based on their importance.Secured data are sensitive user data,whereas open data are open to the public.On the basis of data classiﬁcation,secured data are applied to the DMoS algorithm to achieve high security in HDFS.The pro-posed approach is compared with the time complexity of three existing algo-rithms,and results are evaluated.

关键词： data mobility Data security cloud computing big data DMoS algorithm

Towards Developing Privacy-Preserved Data security Approach(PP-DSA)in Cloud Computing Environment

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Computer Systems Science & Engineering 2023年第3期44卷 1881-1895页

作者： S.Stewart Kirubakaran V.P.Arunachalam S.Karthik S.K annan Department of Computer Science&Engineering SNS College of TechnologyCoimbatoreTamilnaduIndia School of Computing Science and Engineering Vellore Institute of TechnologyBhopalMadhya PradheshIndia

In the present scenario of rapid growth in cloud computing models,several companies and users started to share their data on cloud servers.However,when the model is not completely trusted,the data owners face several security-related problems,such as user privacy breaches,data disclosure,data corruption,and so on,during the process of data outsourcing.For addressing and handling the security-related issues on Cloud,several models were proposed.With that concern,this paper develops a Privacy-Preserved Data security Approach(PP-DSA)to provide the Data security and data integrity for the out-sourcing data in Cloud Environment.Privacy preservation is ensured in this work with the Efficient Authentication Technique(EAT)using the Group Signature method that is applied with Third-Party Auditor(TPA).The role of the auditor is to secure the data and guarantee shared data integrity.Additionally,the Cloud Service Provider(CSP)and data User(DU)can also be the attackers that are to be handled with the EAT.Here,the major objective of the work is to enhance cloud security and thereby,increase Quality of Service(QoS).The results are evaluated based on the model effectiveness,security,and reliability and show that the proposed model provides better results than existing works.

关键词： Third-party auditor(TPA) efficient auditing technique(EAT) cloud service provider(CSP) data user(DU) Data security privacy-preserving cloud computing cloud security

data Hiding and security for XMLdatabase: A TRBAC-Based Approach

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Wuhan University Journal of Natural Sciences 2005年第1期10卷 293-296页

作者： ZHANGWan-song SUNWei LIUDa-xin SchoolofComputerScienceandTechnology HarbinEngineeringUniversityHarbin150001HeilongjiangChna

In order to cope with varying protection granularity levels of XML(extensible Markup Language) documents, we propose a TXAC (Two-level XML. Access Control) framework,in which an extended TRBAC ( Temporal Role-Based Access Control) approach is proposed to deal withthe dynamic XML data With different system components, LXAC algorithm evaluates access requestsefficiently by appropriate access control policy in dynamic web environment. The method is aflexible and powerful security system offering amulti-level access control solution.

关键词： XML data access control Data security

Data security and Privacy in Cloud Storage

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ZTE Communications 2013年第2期11卷 18-23页

作者： Xinhua Dong Ruixuan Li Wanwan Zhou Dongjie Liao Shuoyi Zhao School of Computer Science and Technology HuaZhong University of Science and Technology

In this paper, we survey Data security and privacy problems created by cloud storage applications and propose a cloud storage security architecture. We discuss state-of-the-art techniques for ensuring the privacy and security of data stored in the cloud. We discuss policies for access control and data integrity, availability, and privacy. We also discuss several key solutions proposed in current literature and point out future research directions.

关键词： cloud storage cloud computing Data security privacy-preserving

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公共数据安全管理绩效分析框架及组态分析

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Classification of Big Data security Based on Ontology Web Language

图书馆学情报学 2023年第11期

作者：邹纯龙马海群王今

[目的/意义]二十大报告指出国家安全是民族复兴的根基，社会稳定是国家强盛的前提。作为国家安全的重点建设领域，加快公共数据安全研究、加强公共数据安全管理成为数字经济时代的重要议题。[方法/过程]在厘清公共数据概念及内涵的基础... 详细信息

[目的/意义]二十大报告指出国家安全是民族复兴的根基，社会稳定是国家强盛的前提。作为国家安全的重点建设领域，加快公共数据安全研究、加强公共数据安全管理成为数字经济时代的重要议题。[方法/过程]在厘清公共数据概念及内涵的基础上，结合TOE理论框架，建构包含技术、组织和环境3个维度的公共数据安全管理绩效分析框架。再运用定性比较分析(QCA)方法对我国24个省及直辖市公共数据安全管理情况进行条件组态分析，探究多元因素对公共数据安全管理绩效的联动效应。[结果/结论]研究表明公共数据安全管理绩效是多种因素组合作用的结果，由此归纳概化出集中式、回应式和技术导向式3种公共数据安全管理模式，有助于理解数字时代公共数据的资源价值优势和安全保障意义，为公共数据安全管理绩效水平的提升提供借鉴。

关键词：公共数据数据安全 TOE框架定性比较分析　　public data Data security TOE framework QCA

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Journal of Information security 2023年第1期14卷 76-91页

作者： Alsadig Mohammed Adam Abdallah Amir Mohamed Talib College of Computer and Information Sciences (CCIS) Riyadh Kingdom of Saudi Arabia (KSA) Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Kingdom of Saudi Arabia (KSA)

A vast amount of data (known as big data) may now be collected and stored from a variety of data sources, including event logs, the internet, smartphones, databases, sensors, cloud computing, and Internet of Things (IoT) devices. The term “big Data security” refers to all the safeguards and instruments used to protect both the data and analytics processes against intrusions, theft, and other hostile actions that could endanger or adversely influence them. Beyond being a high-value and desirable target, protecting Big data has particular difficulties. Big Data security does not fundamentally differ from conventional Data security. Big Data security issues are caused by extraneous distinctions rather than fundamental ones. This study meticulously outlines the numerous security difficulties Large data analytics now faces and encourages additional joint research for reducing both big Data security challenges utilizing Ontology Web Language (OWL). Although we focus on the security Challenges of Big data in this essay, we will also briefly cover the broader Challenges of Big data. The proposed classification of Big Data security based on ontology web language resulting from the protégé software has 32 classes and 45 subclasses.

关键词： Big data Big Data security Information security Data security Ontology Web Language Protégé

科研人员视角下科学数据安全影响因素仿真分析

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Data security Involved in Cloud Computing

图书馆学情报学 2022年第6期

作者：阮冰颖刘桂锋刘琼

[目的/意义]科学数据已经成为科学研究的重要资源，科研人员面临保护科学数据安全的新挑战。[方法/过程]第一步，从政策、资金、设备、平台、科学数据价值、科研人员专业素养的角度设计问卷；第二步，基于问卷回收数据构建SEM模型；第... 详细信息

[目的/意义]科学数据已经成为科学研究的重要资源，科研人员面临保护科学数据安全的新挑战。[方法/过程]第一步，从政策、资金、设备、平台、科学数据价值、科研人员专业素养的角度设计问卷；第二步，基于问卷回收数据构建SEM模型；第三步，构建SD模型并对6个维度变化进行动态仿真，探究科学数据安全系统中各因素之间的相互作用关系。[结果/结论]政策、资金、设备、平台、科学数据价值、科研人员专业素养对科学数据安全具有影响，其中政策、平台、科学数据价值对科学数据安全的作用较明显。[局限]考虑的科学安全影响因素尚不全面，还需要进一步优化SD模型。

关键词：科研人员科学数据数据安全数据隐私系统动力学影响因素　　Scientific research personnel Scientific data Data security data privacy System dynamics Influencing factor

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Data Security Involved in Cloud Computing