Blowfish算法在数据库患者数据保护中的应用

Pahrul Irfan, Rifqi Hammad, Andi Sofyan Anas, Fatimatuzzahra Fatimatuzzahra, Nanang Samudra
{"title":"Blowfish算法在数据库患者数据保护中的应用","authors":"Pahrul Irfan, Rifqi Hammad, Andi Sofyan Anas, Fatimatuzzahra Fatimatuzzahra, Nanang Samudra","doi":"10.31940/matrix.v12i2.102-108","DOIUrl":null,"url":null,"abstract":"Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.","PeriodicalId":31964,"journal":{"name":"Matrix Jurnal Manajemen Teknologi dan Informatika","volume":"88 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of the Blowfish Algorithm in securing patient data in the database\",\"authors\":\"Pahrul Irfan, Rifqi Hammad, Andi Sofyan Anas, Fatimatuzzahra Fatimatuzzahra, Nanang Samudra\",\"doi\":\"10.31940/matrix.v12i2.102-108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.\",\"PeriodicalId\":31964,\"journal\":{\"name\":\"Matrix Jurnal Manajemen Teknologi dan Informatika\",\"volume\":\"88 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Matrix Jurnal Manajemen Teknologi dan Informatika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31940/matrix.v12i2.102-108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matrix Jurnal Manajemen Teknologi dan Informatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31940/matrix.v12i2.102-108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

患者数据是医院管理的数据集之一。以检查结果和其他数据为形式的患者数据是隐私和机密的重要数据。因此,患者数据需要得到保护,这样就不会有对可能损害数据所有者的事情不负责任的各方滥用数据。可以用来保护数据的几种方法之一是密码学。密码学本身有几种算法,其中之一是河豚算法。本研究采用河豚算法对数据库中的患者数据进行保护,以减少不负责任方滥用数据的可能性。本研究成功地实现了保护患者数据的河豚算法。存储在数据库中的数据是使用河豚算法加密的结果,其结果难以理解,因为有符号和文本的组合。算法的应用影响了数据在数据库中的存储时间,原来保存数据需要0.12秒,现在存储数据需要0.28秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of the Blowfish Algorithm in securing patient data in the database
Patient data is one of the datasets managed by the hospital. Patient data in the form of examination results and other data is important data that is private and confidential. Therefore, patient data needs to be secured so that there is no misuse of data by parties who are not responsible for things that can harm the data owner. One of the several methods that can be used to secure data is cryptography. Cryptography itself has several algorithms, one of which is blowfish. This study applies the blowfish algorithm to secure patient data in the database to reduce the possibility of data misuse by irresponsible parties. This study succeeded in implementing the blowfish algorithm for securing patient data. The data stored in the database is the result of encryption using the blowfish algorithm, the results of which are difficult to understand because there is a combination of symbols and text. The application of the algorithm affects the data storage time in the database, which originally took 0.12 seconds to save data and now takes 0.28 seconds to store data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊最新文献
Optimizing transaction data performance in database management systems Library apps to improve the digitization of Sekolah Penggerak Program Literature review: visible light communication system business model scheme for telecommunication business in Indonesia Determination of the best rule-based analysis results from the comparison of the Fp-Growth, Apriori, and TPQ-Apriori Algorithms for recommendation systems The empirical study of Joomla CMS map extension and location performance
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1