{"title":"An Authenticated Encrypted Compressive Sensing based Imaging Mechanism","authors":"Tao Wu, C. Ruland","doi":"10.1109/NTMS.2018.8328676","DOIUrl":null,"url":null,"abstract":"Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N ≫ M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should be also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should be provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.","PeriodicalId":140704,"journal":{"name":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2018.8328676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N ≫ M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should be also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should be provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.