{"title":"A Novel Third Party Integrity Checker (TPIC) based Data Auditing for Security of the Dynamic Streaming Client Data in a Cloud Infrastructure","authors":"K. P. Rao, R. P. Puneeth, Shashank Shetty","doi":"10.1109/ICEECCOT43722.2018.9001384","DOIUrl":null,"url":null,"abstract":"With the widespread popularity of the outsourcing of streaming client data in the cloud infrastructure, lot of individuals or companies tend to store the mission critical data into the data centre's stored in the various remote locations to reduce the data storage and management cost. Nevertheless, new security challenges often arise causing threat to the data stored in the cloud. One among the security challenge is the checking the correctness or data integrity of the stored data. This paper focuses on the Third Party Integrity Checker (TPIC) based data auditing for security of the dynamic streaming client data in a cloud infrastructure. During the integrity process the TPIC will be only containing the digital signature generated by the Hash function of the stored encrypted data and will not be aware of the actual data of the file. Hence, allowing to trust the third party checker by not storing the actual data in it. The Client data would be changing significantly over the time, this model allows the integrity checking of the periodically changing dynamic data.","PeriodicalId":254272,"journal":{"name":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEECCOT43722.2018.9001384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the widespread popularity of the outsourcing of streaming client data in the cloud infrastructure, lot of individuals or companies tend to store the mission critical data into the data centre's stored in the various remote locations to reduce the data storage and management cost. Nevertheless, new security challenges often arise causing threat to the data stored in the cloud. One among the security challenge is the checking the correctness or data integrity of the stored data. This paper focuses on the Third Party Integrity Checker (TPIC) based data auditing for security of the dynamic streaming client data in a cloud infrastructure. During the integrity process the TPIC will be only containing the digital signature generated by the Hash function of the stored encrypted data and will not be aware of the actual data of the file. Hence, allowing to trust the third party checker by not storing the actual data in it. The Client data would be changing significantly over the time, this model allows the integrity checking of the periodically changing dynamic data.
随着云基础设施中流客户端数据外包的广泛普及,许多个人或公司倾向于将关键任务数据存储到数据中心中,存储在各个远程位置,以降低数据存储和管理成本。然而,新的安全挑战经常出现,对存储在云中的数据造成威胁。安全挑战之一是检查存储数据的正确性或数据完整性。本文主要研究基于第三方完整性检查器(Third Party Integrity Checker, TPIC)的数据审计,以保证云基础架构中动态流客户端数据的安全性。在完整性过程中,TPIC将只包含由存储的加密数据的Hash函数生成的数字签名,而不知道文件的实际数据。因此,允许通过不存储实际数据来信任第三方检查器。随着时间的推移,客户端数据会发生重大变化,该模型允许对周期性变化的动态数据进行完整性检查。