基于真实环境的MS Office计算机化考试提升了考试的友好性,但也带来基于文件复制或内容复制的考试作弊安全隐患,需要研究新方法对此类作弊进行检测。通过分析Office Open XML文档部件中的相关参数,提出复制类作弊的检测方法,并以全国计...基于真实环境的MS Office计算机化考试提升了考试的友好性,但也带来基于文件复制或内容复制的考试作弊安全隐患,需要研究新方法对此类作弊进行检测。通过分析Office Open XML文档部件中的相关参数,提出复制类作弊的检测方法,并以全国计算机等级考试的Word试题为例进行检验。研究结果表明,该方法能直接、有效地判断基于文件复制的作弊,对大部分基于内容复制的作弊也能进行有效判断,但也存在个别无法判断的情况,需要结合其他参数综合分析。展开更多
With the development of cloud computing technology, data can be outsourced to the cloud and conveniently shared among users. However, in many circumstances, users may have concerns about the reliability and integrity ...With the development of cloud computing technology, data can be outsourced to the cloud and conveniently shared among users. However, in many circumstances, users may have concerns about the reliability and integrity of their data. It is crucial to provide data sharing services that satisfy these security requirements. We introduce a reliable and secure data sharing scheme, using the threshold secret sharing technique and the ChaumPedersen zero-knowledge proof. The proposed scheme is not only effective and flexible, but also able to achieve the semantic security property. Moreover, our scheme is capable of ensuring accountability of users’ decryption keys as well as cheater identification if some users behave dishonestly. The efficiency analysis shows that the proposed scheme has a better performance in terms of computational cost, compared with the related work. It is particularly suitable for application to protect users’ medical insurance data over the cloud.展开更多
文摘基于真实环境的MS Office计算机化考试提升了考试的友好性,但也带来基于文件复制或内容复制的考试作弊安全隐患,需要研究新方法对此类作弊进行检测。通过分析Office Open XML文档部件中的相关参数,提出复制类作弊的检测方法,并以全国计算机等级考试的Word试题为例进行检验。研究结果表明,该方法能直接、有效地判断基于文件复制的作弊,对大部分基于内容复制的作弊也能进行有效判断,但也存在个别无法判断的情况,需要结合其他参数综合分析。
基金the National Key R&D Program of China (No. 2017YFB0802000)the National Natural Science Foundation of China (Nos. 61772326 and 61572303)+4 种基金the Research Fund for International Young Scientists, China (No. 61750110528)National Cryptography Development FYind for the 13th Five- Year Plan, China (No. MMJJ20170216), the Foundation of State Key Laboratory of Information Security, China (No. 2017-MS- 03)the Fundamental Research Funds for the Central Universities, China (No. GK201702004)the Scientific Research Program Funded by Shaanxi Provincial Education Department, China (No. 16JK1109), the Provincial Natural Science Foundation Research Project of Shaanxi, China (No. 2017JQ6029)the Doctoral Scientific Fund Project of Shaanxi University of Science & Technology, China (No. BJ11-12).
文摘With the development of cloud computing technology, data can be outsourced to the cloud and conveniently shared among users. However, in many circumstances, users may have concerns about the reliability and integrity of their data. It is crucial to provide data sharing services that satisfy these security requirements. We introduce a reliable and secure data sharing scheme, using the threshold secret sharing technique and the ChaumPedersen zero-knowledge proof. The proposed scheme is not only effective and flexible, but also able to achieve the semantic security property. Moreover, our scheme is capable of ensuring accountability of users’ decryption keys as well as cheater identification if some users behave dishonestly. The efficiency analysis shows that the proposed scheme has a better performance in terms of computational cost, compared with the related work. It is particularly suitable for application to protect users’ medical insurance data over the cloud.
