一种利用同态加密的敏感丢失数据采集系统安全方法

Rifki Suwandi, A. I. Wuryandari
{"title":"一种利用同态加密的敏感丢失数据采集系统安全方法","authors":"Rifki Suwandi, A. I. Wuryandari","doi":"10.1109/ISITDI55734.2022.9944464","DOIUrl":null,"url":null,"abstract":"The student's fault is not the only cause of dropping out of school. Often, cases of dropping out of school are only associated with too general problems. However, sensitive issues that can be detrimental to certain parties in this regard, such as the institution's reputation, are usually not made public. To overcome this, an in-depth analysis of these cases is needed for proper handling. Many risks are associated with creating a single repository for this sensitive information. Therefore, some encryption is required to ensure data is not leaked. However, encryption at rest and in transit is insufficient as data leakage is a considerable risk during processing. In addition, there is also a risk of abuse of authority by insiders so that no single entity is allowed to have access to all data. Homomorphic encryption presents a viable solution to this challenge. Data may be aggregated under the security provided by Homomorphic Encryption. This method makes the data available for computation without being decrypted first and without paying the risk of having a single repository.","PeriodicalId":312644,"journal":{"name":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Safe Approach to Sensitive Dropout Data Collection Systems by Utilizing Homomorphic Encryption\",\"authors\":\"Rifki Suwandi, A. I. Wuryandari\",\"doi\":\"10.1109/ISITDI55734.2022.9944464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The student's fault is not the only cause of dropping out of school. Often, cases of dropping out of school are only associated with too general problems. However, sensitive issues that can be detrimental to certain parties in this regard, such as the institution's reputation, are usually not made public. To overcome this, an in-depth analysis of these cases is needed for proper handling. Many risks are associated with creating a single repository for this sensitive information. Therefore, some encryption is required to ensure data is not leaked. However, encryption at rest and in transit is insufficient as data leakage is a considerable risk during processing. In addition, there is also a risk of abuse of authority by insiders so that no single entity is allowed to have access to all data. Homomorphic encryption presents a viable solution to this challenge. Data may be aggregated under the security provided by Homomorphic Encryption. This method makes the data available for computation without being decrypted first and without paying the risk of having a single repository.\",\"PeriodicalId\":312644,\"journal\":{\"name\":\"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITDI55734.2022.9944464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Information Technology and Digital Innovation (ISITDI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITDI55734.2022.9944464","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

学生的过错并不是辍学的唯一原因。通常,辍学的案例只与过于普遍的问题有关。然而,在这方面可能对某些方面有害的敏感问题,例如机构的声誉,通常不会公开。为了克服这一点,需要对这些案例进行深入的分析,以便妥善处理。为这些敏感信息创建单个存储库会带来许多风险。因此,需要进行一些加密以确保数据不泄露。但是,静态和传输中的加密是不够的,因为数据在处理过程中存在相当大的泄漏风险。此外,还存在内部人员滥用权力的风险,因此不允许任何一个实体访问所有数据。同态加密为这一挑战提供了一个可行的解决方案。数据可以在同态加密提供的安全性下聚合。这种方法使数据可用于计算,而不需要先解密,也不需要承担使用单一存储库的风险。
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
A Safe Approach to Sensitive Dropout Data Collection Systems by Utilizing Homomorphic Encryption
The student's fault is not the only cause of dropping out of school. Often, cases of dropping out of school are only associated with too general problems. However, sensitive issues that can be detrimental to certain parties in this regard, such as the institution's reputation, are usually not made public. To overcome this, an in-depth analysis of these cases is needed for proper handling. Many risks are associated with creating a single repository for this sensitive information. Therefore, some encryption is required to ensure data is not leaked. However, encryption at rest and in transit is insufficient as data leakage is a considerable risk during processing. In addition, there is also a risk of abuse of authority by insiders so that no single entity is allowed to have access to all data. Homomorphic encryption presents a viable solution to this challenge. Data may be aggregated under the security provided by Homomorphic Encryption. This method makes the data available for computation without being decrypted first and without paying the risk of having a single repository.
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
0
期刊最新文献
An RFID-Based Battery-Less Vibration Monitoring System for Electrical Appliances Gender and Intent Classification From Finger Swiping Behaviours on Gesture Keyboards Using LSTM Comparison of Naïve Bayes, C4.5 and K-Nearest Neighbor for Covid-19 Data Classification Gamification Methods of Game-Based Learning Applications in Medical Competence: A Systematic Literature Review The Implementation of Business Intelligence on Visualisation of Transaction Data Analysis using Dashboard System Case Study: XYZ Convenience Store
×
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