图像数据源取证研究综述

Xu Meng, Kun Meng, Wenbao Qiao
{"title":"图像数据源取证研究综述","authors":"Xu Meng, Kun Meng, Wenbao Qiao","doi":"10.1145/3430199.3430241","DOIUrl":null,"url":null,"abstract":"The development of technologies such as smart terminals and mobile Internet has made image data one of the most important forms of data in the Internet and personal storage media, and has grown at an alarming rate. As the most effective expression of information, image data can record various information when image content appears, and it can play an unparalleled role in restoring the truth of things. Therefore, the aim of efficiently and accurately identify the source of image is to determine the device that generated the data. It is an effective means of clustering data from the same device, and become a key step in helping to understand the full content. It is one of the core technologies for conducting electronic data forensic evidence. On the basis of summarizing and analyzing the image generation process, this paper analyzes the data shape and acquisition steps of the potential image generation device information, and then obtains the method of image data source identification. It also summarizes the existing related technologies and methods, comparative analysis of their applicability and potential development direction.","PeriodicalId":371055,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Survey of Research on Image Data Sources Forensics\",\"authors\":\"Xu Meng, Kun Meng, Wenbao Qiao\",\"doi\":\"10.1145/3430199.3430241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of technologies such as smart terminals and mobile Internet has made image data one of the most important forms of data in the Internet and personal storage media, and has grown at an alarming rate. As the most effective expression of information, image data can record various information when image content appears, and it can play an unparalleled role in restoring the truth of things. Therefore, the aim of efficiently and accurately identify the source of image is to determine the device that generated the data. It is an effective means of clustering data from the same device, and become a key step in helping to understand the full content. It is one of the core technologies for conducting electronic data forensic evidence. On the basis of summarizing and analyzing the image generation process, this paper analyzes the data shape and acquisition steps of the potential image generation device information, and then obtains the method of image data source identification. It also summarizes the existing related technologies and methods, comparative analysis of their applicability and potential development direction.\",\"PeriodicalId\":371055,\"journal\":{\"name\":\"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3430199.3430241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3430199.3430241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着智能终端和移动互联网等技术的发展,图像数据已成为互联网和个人存储媒体中最重要的数据形式之一,并以惊人的速度增长。图像数据作为信息最有效的表达方式,在图像内容出现的时候,能够记录下各种信息,在还原事物真相方面能够起到无与伦比的作用。因此,高效准确地识别图像来源的目的是确定产生数据的设备。它是对来自同一设备的数据进行聚类的有效手段,是帮助理解完整内容的关键步骤。它是进行电子数据取证的核心技术之一。在总结和分析图像生成过程的基础上,分析了潜在图像生成设备信息的数据形态和采集步骤,进而得出图像数据源识别的方法。总结了现有的相关技术和方法,对比分析了它们的适用性和潜在的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Research on Image Data Sources Forensics
The development of technologies such as smart terminals and mobile Internet has made image data one of the most important forms of data in the Internet and personal storage media, and has grown at an alarming rate. As the most effective expression of information, image data can record various information when image content appears, and it can play an unparalleled role in restoring the truth of things. Therefore, the aim of efficiently and accurately identify the source of image is to determine the device that generated the data. It is an effective means of clustering data from the same device, and become a key step in helping to understand the full content. It is one of the core technologies for conducting electronic data forensic evidence. On the basis of summarizing and analyzing the image generation process, this paper analyzes the data shape and acquisition steps of the potential image generation device information, and then obtains the method of image data source identification. It also summarizes the existing related technologies and methods, comparative analysis of their applicability and potential development direction.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信