{"title":"Multimedia Big Data Security","authors":"Preeti Chauhan, Arjun Choudhary, Atul Gupta","doi":"10.1109/ICRIEECE44171.2018.9008517","DOIUrl":null,"url":null,"abstract":"The 21st century is all about data where the main producers are Social Networks, Smartphones, Personal Medical Reports etc. In earlier times data volume used to be in MegaBytes and GigaBytes but in the present scenario PettaBytes or ZettaBytes of data is coming with a very high speed with different varieties from the above sources. Data and Security in today’s time are complimentary in nature that needs to be addressed simultaneously and to provide security to such huge amount and variety of data, different encryption/decryption models are used. Multimedia data and its use have reached to gigantic level and as it belongs to the millions of user’s, the security of data is the primary concern. So, there should be the ways through which one can ensure the best possible practice to enhance the security of Data. This paper focuses on various techniques to secure the multimedia data which existed in various types like image, audio, chat, videos and text and also this paper provides an overview of available multiple encryption schemes to secure the different forms of multimedia data and critically analyse them.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"188 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRIEECE44171.2018.9008517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The 21st century is all about data where the main producers are Social Networks, Smartphones, Personal Medical Reports etc. In earlier times data volume used to be in MegaBytes and GigaBytes but in the present scenario PettaBytes or ZettaBytes of data is coming with a very high speed with different varieties from the above sources. Data and Security in today’s time are complimentary in nature that needs to be addressed simultaneously and to provide security to such huge amount and variety of data, different encryption/decryption models are used. Multimedia data and its use have reached to gigantic level and as it belongs to the millions of user’s, the security of data is the primary concern. So, there should be the ways through which one can ensure the best possible practice to enhance the security of Data. This paper focuses on various techniques to secure the multimedia data which existed in various types like image, audio, chat, videos and text and also this paper provides an overview of available multiple encryption schemes to secure the different forms of multimedia data and critically analyse them.
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
多媒体大数据安全
21世纪的一切都是关于数据,其中主要生产者是社交网络,智能手机,个人医疗报告等。在早期,数据量以兆字节和千兆字节为单位,但在目前的情况下,pb或ztb的数据以非常高的速度来自上述来源的不同品种。在当今时代,数据和安全本质上是互补的,需要同时解决,为了为如此大量和各种各样的数据提供安全性,使用了不同的加密/解密模型。多媒体数据及其使用已经达到了巨大的规模,由于它属于千百万用户的数据,数据的安全性是人们首要关心的问题。因此,应该有一些方法可以确保最佳实践来增强数据的安全性。本文重点介绍了图像、音频、聊天、视频和文本等各种类型的多媒体数据的加密技术,概述了用于保护不同形式多媒体数据的多种加密方案,并对其进行了批判性分析。
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
Ranked Rule Based Approach for Sentiment Analysis Design of Evaluation Board for Image Processing ASIC and VHDL Implementation of FPGA Interface Design and Development of IoT based System for Retrieval of Agrometeorological Parameters An Advance Tree Adaptive Data Classification for the Diabetes Disease Prediction Dual-Frequency GPS Derived Precipitable Water Vapor and Comparison with ERA-Interim Reanalysis Data Over Indian stations
×
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