In order to provide a good practice platform for the program design contestants and algorithm enthusiasts,this paper designs and implements a programming online evaluation system based on cloud platform,which is a web...In order to provide a good practice platform for the program design contestants and algorithm enthusiasts,this paper designs and implements a programming online evaluation system based on cloud platform,which is a web system that can return the test results of the program source codes submitted by users in real time.It realizes the automatic evaluation of the program design training questions.The system is implemented by the way of front-end and back-end separation and modular programming.The front-end of the web is implemented by Vue framework,the back-end is implemented by Django framework.The judgment core is written in C language for the sake of improving the efficiency of the system.Sandbox technology is used to ensure the security of the judgment system.Experimental results show that the system can meet the need of daily teaching and competition.展开更多
Nowadays,cloud computing is used more and more widely,more and more people prefer to using cloud server to store data.So,how to encrypt the data efficiently is an important problem.The search efficiency of existed sea...Nowadays,cloud computing is used more and more widely,more and more people prefer to using cloud server to store data.So,how to encrypt the data efficiently is an important problem.The search efficiency of existed search schemes decreases as the index increases.For solving this problem,we build the two-level index.Simultaneously,for improving the semantic information,the central word expansion is combined.The purpose of privacy-preserving content-aware search by using the two-level index(CKESS)is that the first matching is performed by using the extended central words,then calculate the similarity between the trapdoor and the secondary index,finally return the results in turn.Through experiments and analysis,it is proved that our proposed schemes can resist multiple threat models and the schemes are secure and efficient.展开更多
基金This work is supported in part by National Natural Science Foundation of China(61373132,61872408)the Key Laboratory of informationization technology for basic education in Hunan province(2015TP1017)+1 种基金Hunan provincial higher education reform research project(2012[528])Project of research study and innovative experiment for college students in Hunan Province(2017[873]).
文摘In order to provide a good practice platform for the program design contestants and algorithm enthusiasts,this paper designs and implements a programming online evaluation system based on cloud platform,which is a web system that can return the test results of the program source codes submitted by users in real time.It realizes the automatic evaluation of the program design training questions.The system is implemented by the way of front-end and back-end separation and modular programming.The front-end of the web is implemented by Vue framework,the back-end is implemented by Django framework.The judgment core is written in C language for the sake of improving the efficiency of the system.Sandbox technology is used to ensure the security of the judgment system.Experimental results show that the system can meet the need of daily teaching and competition.
基金This work is supported by the National Natural Science Foundation of China under grant U1836110,U1836208,U1536206,61602253,61672294by the National Key R&D Program of China under grant 2018YFB1003205+5 种基金by China Postdoctoral Science Foundation(2017M610574)by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20181407by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fundby the Major Program of the National Social Science Fund of China(17ZDA092)Qing Lan Projectby the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET)fund,China.
文摘Nowadays,cloud computing is used more and more widely,more and more people prefer to using cloud server to store data.So,how to encrypt the data efficiently is an important problem.The search efficiency of existed search schemes decreases as the index increases.For solving this problem,we build the two-level index.Simultaneously,for improving the semantic information,the central word expansion is combined.The purpose of privacy-preserving content-aware search by using the two-level index(CKESS)is that the first matching is performed by using the extended central words,then calculate the similarity between the trapdoor and the secondary index,finally return the results in turn.Through experiments and analysis,it is proved that our proposed schemes can resist multiple threat models and the schemes are secure and efficient.
