Digital forensics: a fast algorithm for a digital sensor identification

IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information and Telecommunication Pub Date : 2022-04-05 DOI:10.1080/24751839.2022.2058252
J. Bernacki, R. Scherer
{"title":"Digital forensics: a fast algorithm for a digital sensor identification","authors":"J. Bernacki, R. Scherer","doi":"10.1080/24751839.2022.2058252","DOIUrl":null,"url":null,"abstract":"ABSTRACT We consider the identification of imaging devices by analysing images they produce. The problem is studied in the literature, yet the existing solutions are rather computationally demanding. We propose a high-speed algorithm for the identification of imaging devices. The aim is to provide additional security by identification of legitimate imaging devices or an identification for forensics. The experimental evaluation confirms efficient identification of devices models and brands by the proposed algorithm, compared with the state-of-the-art method. Moreover, our algorithm is approximately two orders of magnitude faster, which is very important in resource-constrained IoT ecosystems or very large databases.","PeriodicalId":32180,"journal":{"name":"Journal of Information and Telecommunication","volume":"6 1","pages":"399 - 419"},"PeriodicalIF":2.7000,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information and Telecommunication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24751839.2022.2058252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT We consider the identification of imaging devices by analysing images they produce. The problem is studied in the literature, yet the existing solutions are rather computationally demanding. We propose a high-speed algorithm for the identification of imaging devices. The aim is to provide additional security by identification of legitimate imaging devices or an identification for forensics. The experimental evaluation confirms efficient identification of devices models and brands by the proposed algorithm, compared with the state-of-the-art method. Moreover, our algorithm is approximately two orders of magnitude faster, which is very important in resource-constrained IoT ecosystems or very large databases.
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
数字取证:一种用于数字传感器识别的快速算法
摘要:我们通过分析成像设备产生的图像来识别它们。文献中对这个问题进行了研究,但现有的解决方案在计算上相当苛刻。我们提出了一种用于识别成像设备的高速算法。其目的是通过识别合法的成像设备或进行取证来提供额外的安全性。与最先进的方法相比,实验评估证实了所提出的算法对设备型号和品牌的有效识别。此外,我们的算法大约快两个数量级,这在资源受限的物联网生态系统或大型数据库中非常重要。
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
CiteScore
7.50
自引率
0.00%
发文量
18
审稿时长
27 weeks
期刊最新文献
Utilizing deep learning in chipless RFID tag detection: an investigation on high-precision mm-wave spatial tag estimation from 2D virtual imaging On the performance of outage probability in cognitive NOMA random networks with hardware impairments Relay-assisted communication over a fluctuating two-ray fading channel Modified Caesar Cipher and Card Deck Shuffle Rearrangement Algorithm for Image Encryption Application of data envelopment analysis to IT project evaluation, with special emphasis on the choice of inputs and outputs in the context of the organization in question
×
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