Security and Privacy Preserving in Big Data

Madhavi Tota, S. Karmore
{"title":"Security and Privacy Preserving in Big Data","authors":"Madhavi Tota, S. Karmore","doi":"10.1109/ASSIC55218.2022.10088413","DOIUrl":null,"url":null,"abstract":"The area of large collection of Information is developing at an upsetting rate. The extreme usage of Person-to-person communication Locales, combination of Information from Sensors for assessment and assumption for future events, improvement in Consumer loyalty on Web based Shopping entrances by observing their previous way of behaving and giving them data, things and offers of their advantage momentarily, and so on had prompted this ascent in the field of Big Data. Security of Information and Protection of Client is of particular interest and high significance for people, industry and the scholarly world. Everybody guarantee that their Sensitive data should be avoided unapproved access and their resources should be remained careful from security breaks. Protection and Security are likewise similarly significant for Huge Information and here, ensuring the Protection and Security is common and complex, as how much information is colossal. One potential choice to actually and proficiently handle, process and dissected the Large Information is to use AI techniques. Simulated intelligence strategies are clear; applying them on Large Information requires objective of various issues and is a troublesome endeavor, as the size of Information is as well enormous. The proposed work is connected with further develop protection and security issues and hazard at various phases of Big Data.","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASSIC55218.2022.10088413","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

The area of large collection of Information is developing at an upsetting rate. The extreme usage of Person-to-person communication Locales, combination of Information from Sensors for assessment and assumption for future events, improvement in Consumer loyalty on Web based Shopping entrances by observing their previous way of behaving and giving them data, things and offers of their advantage momentarily, and so on had prompted this ascent in the field of Big Data. Security of Information and Protection of Client is of particular interest and high significance for people, industry and the scholarly world. Everybody guarantee that their Sensitive data should be avoided unapproved access and their resources should be remained careful from security breaks. Protection and Security are likewise similarly significant for Huge Information and here, ensuring the Protection and Security is common and complex, as how much information is colossal. One potential choice to actually and proficiently handle, process and dissected the Large Information is to use AI techniques. Simulated intelligence strategies are clear; applying them on Large Information requires objective of various issues and is a troublesome endeavor, as the size of Information is as well enormous. The proposed work is connected with further develop protection and security issues and hazard at various phases of Big Data.
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
大数据中的安全与隐私保护
信息大收集领域正以惊人的速度发展。极端使用人与人之间的交流场所,结合来自传感器的信息对未来事件进行评估和假设,通过观察消费者以前的行为方式并向他们提供数据,物品和暂时的优势来提高消费者对基于Web的购物入口的忠诚度,等等,促使了大数据领域的崛起。信息安全和客户保护是人们、工业界和学术界特别感兴趣和高度重要的问题。每个人都保证他们的敏感数据应该避免未经批准的访问,他们的资源应该保持谨慎,以免出现安全漏洞。保护和安全对于巨大的信息同样重要,在这里,确保保护和安全是常见和复杂的,因为有多少信息是巨大的。真正熟练地处理、处理和剖析大信息的一个潜在选择是使用人工智能技术。模拟智能策略是明确的;将它们应用于大信息需要对各种问题进行客观分析,并且由于信息的规模也非常大,因此是一项非常麻烦的工作。拟议的工作与进一步发展保护和安全问题以及大数据各个阶段的危害有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Technological Empowerment: Applications of Machine Learning in Oral Healthcare Emotion Recognition From Online Classroom Videos Using Meta Learning Design and Development Recommendations for a Smart Weather Monitoring System Modified Convolutional Neural Network for Fashion Classification Challenges of Medical Text and Image Processing
×
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