{"title":"A New Watermarking Approach for Ensuring Patient Data Authentication over a Low-quality Communication Environment","authors":"Subrata Kumar Das, Mohammad Zahidur Rahman","doi":"10.1109/ICCIT54785.2021.9689806","DOIUrl":null,"url":null,"abstract":"Healthcare data management has improved in the last decade with increasing data volume due to the advancement of information technologies. While the digital patient data are accessed through a bad network from a remote place, data could be altered. Any modification of transferring data over the networks may create security issues like data integrity and authentication. The solution to these security problems is significant because they may cause sensitive data loss can hamper medical diagnoses. Watermarking is an effective method to provide such data security, which has attracted the researcher’s attention with a cheaper computational cost. Different watermarking techniques had applied to secure medical data, especially for images, in the healthcare system. Watermarking text data is a task that ensures authenticity and integrity on text patient data. It has become difficult for the lack of proper techniques. This paper proposes a new watermarking approach for real-time text patient data to provide their authentication and integrity. Both robust and fragile watermarks are used to detect reliable source information and any data alternation. Experiment results show that our proposed algorithm can identify the source information correctly and provide expected accuracy against possible attacks. The proposed technique could help to serve authentic data to the recipient from the geographically trustworthy distant source without any data manipulation.","PeriodicalId":166450,"journal":{"name":"2021 24th International Conference on Computer and Information Technology (ICCIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 24th International Conference on Computer and Information Technology (ICCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIT54785.2021.9689806","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
Healthcare data management has improved in the last decade with increasing data volume due to the advancement of information technologies. While the digital patient data are accessed through a bad network from a remote place, data could be altered. Any modification of transferring data over the networks may create security issues like data integrity and authentication. The solution to these security problems is significant because they may cause sensitive data loss can hamper medical diagnoses. Watermarking is an effective method to provide such data security, which has attracted the researcher’s attention with a cheaper computational cost. Different watermarking techniques had applied to secure medical data, especially for images, in the healthcare system. Watermarking text data is a task that ensures authenticity and integrity on text patient data. It has become difficult for the lack of proper techniques. This paper proposes a new watermarking approach for real-time text patient data to provide their authentication and integrity. Both robust and fragile watermarks are used to detect reliable source information and any data alternation. Experiment results show that our proposed algorithm can identify the source information correctly and provide expected accuracy against possible attacks. The proposed technique could help to serve authentic data to the recipient from the geographically trustworthy distant source without any data manipulation.