{"title":"一种基于信息分片的高效安全存储方案","authors":"Han Qiu, G. Memmi, H. Noura","doi":"10.1109/CSCloud.2017.44","DOIUrl":null,"url":null,"abstract":"In this paper, an efficient secure storage scheme is presented which aims to provide security to end-user's data while mostly storing it to public clouds. This proposed scheme is based on the invertible Discrete Wavelet Transform (DWT) to fragment data into two or three fragments with different levels of importance and protected accordingly. As a matter of fact, the most important fragment takes the smallest amount of storage space and can be stored in a user trusted area while the less important fragments take most of the storage space and are uploaded to public clouds. In order to reduce the required execution time, General Purpose Graphic Processing Unit (GPGPU) is employed for accelerating computation. Additionally, a benchmark was realized to compare between the proposed scheme and AES algorithm applied to the entire data.","PeriodicalId":436299,"journal":{"name":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"An Efficient Secure Storage Scheme Based on Information Fragmentation\",\"authors\":\"Han Qiu, G. Memmi, H. Noura\",\"doi\":\"10.1109/CSCloud.2017.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an efficient secure storage scheme is presented which aims to provide security to end-user's data while mostly storing it to public clouds. This proposed scheme is based on the invertible Discrete Wavelet Transform (DWT) to fragment data into two or three fragments with different levels of importance and protected accordingly. As a matter of fact, the most important fragment takes the smallest amount of storage space and can be stored in a user trusted area while the less important fragments take most of the storage space and are uploaded to public clouds. In order to reduce the required execution time, General Purpose Graphic Processing Unit (GPGPU) is employed for accelerating computation. Additionally, a benchmark was realized to compare between the proposed scheme and AES algorithm applied to the entire data.\",\"PeriodicalId\":436299,\"journal\":{\"name\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCloud.2017.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2017.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Secure Storage Scheme Based on Information Fragmentation
In this paper, an efficient secure storage scheme is presented which aims to provide security to end-user's data while mostly storing it to public clouds. This proposed scheme is based on the invertible Discrete Wavelet Transform (DWT) to fragment data into two or three fragments with different levels of importance and protected accordingly. As a matter of fact, the most important fragment takes the smallest amount of storage space and can be stored in a user trusted area while the less important fragments take most of the storage space and are uploaded to public clouds. In order to reduce the required execution time, General Purpose Graphic Processing Unit (GPGPU) is employed for accelerating computation. Additionally, a benchmark was realized to compare between the proposed scheme and AES algorithm applied to the entire data.