Facebook Messenger应用程序上数字法医调查工具的比较分析

Sunardi, Herman, Syifa Riski Ardiningtias
{"title":"Facebook Messenger应用程序上数字法医调查工具的比较分析","authors":"Sunardi, Herman, Syifa Riski Ardiningtias","doi":"10.13052/jcsm2245-1439.1151","DOIUrl":null,"url":null,"abstract":"Technological developments make it easier for people to communicate and share information. Facebook Messenger is an instant messenger that contains multi-platform for sending text, image, sound, and video messages. Besides being used for positive purposes, this technology can also be used to carry out harmful activities. This study conducts a forensic investigation on a crime simulation in pornographic content distribution using Facebook Messenger as a communication medium on Android smartphones. Perpetrators communicate and send pornographic content in the shape of conversations, audio, and video, then delete them to eliminate traces. Every crime can leave evidence therefore after erasing the track, it can be revealed through digital forensic investigations on the smartphone devices that are used as objects to find digital evidence. The collection of evidence in this study is used four forensic tools with the research stages the National Institute of Justice (NIJ) framework. The study result can be used as evidence by investigators on handling criminal cases with the results obtained in the shape of application versions, accounts, emails, conversation, time of occurrence, pictures, audio, and video. MOBILedit Forensic Express has an accuracy of 84.85%, Wondershare Dr. Fone 36.36%, Magnet Axiom 75.76%, and Belkasoft Evidence Center 69.70%.","PeriodicalId":37820,"journal":{"name":"Journal of Cyber Security and Mobility","volume":"56 1","pages":"655-672"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Comparative Analysis of Digital Forensic Investigation Tools on Facebook Messenger Applications\",\"authors\":\"Sunardi, Herman, Syifa Riski Ardiningtias\",\"doi\":\"10.13052/jcsm2245-1439.1151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Technological developments make it easier for people to communicate and share information. Facebook Messenger is an instant messenger that contains multi-platform for sending text, image, sound, and video messages. Besides being used for positive purposes, this technology can also be used to carry out harmful activities. This study conducts a forensic investigation on a crime simulation in pornographic content distribution using Facebook Messenger as a communication medium on Android smartphones. Perpetrators communicate and send pornographic content in the shape of conversations, audio, and video, then delete them to eliminate traces. Every crime can leave evidence therefore after erasing the track, it can be revealed through digital forensic investigations on the smartphone devices that are used as objects to find digital evidence. The collection of evidence in this study is used four forensic tools with the research stages the National Institute of Justice (NIJ) framework. The study result can be used as evidence by investigators on handling criminal cases with the results obtained in the shape of application versions, accounts, emails, conversation, time of occurrence, pictures, audio, and video. MOBILedit Forensic Express has an accuracy of 84.85%, Wondershare Dr. Fone 36.36%, Magnet Axiom 75.76%, and Belkasoft Evidence Center 69.70%.\",\"PeriodicalId\":37820,\"journal\":{\"name\":\"Journal of Cyber Security and Mobility\",\"volume\":\"56 1\",\"pages\":\"655-672\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cyber Security and Mobility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13052/jcsm2245-1439.1151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cyber Security and Mobility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13052/jcsm2245-1439.1151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 2

摘要

科技的发展使人们更容易交流和分享信息。Facebook Messenger是一个包含多平台的即时通讯工具,可以发送文本、图像、声音和视频信息。除了被用于积极的目的,这项技术也可以被用来进行有害的活动。本研究对在Android智能手机上使用Facebook Messenger作为通信媒介进行色情内容分发的犯罪模拟进行了法医调查。犯罪者以对话、音频和视频的形式交流和发送色情内容,然后删除它们以消除痕迹。每一起犯罪都会留下证据,因此,在清除痕迹后,可以通过作为寻找数字证据对象的智能手机进行数字法医调查。本研究中的证据收集使用了四种法医工具,研究阶段为国家司法研究所(NIJ)框架。研究结果可以作为侦查人员办理刑事案件的证据,以应用程序版本、账号、邮件、对话、发生时间、图片、音频、视频等形式获得。MOBILedit Forensic Express的准确率为84.85%,Wondershare Dr. Fone的准确率为36.36%,Magnet Axiom的准确率为75.76%,Belkasoft Evidence Center的准确率为69.70%。
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 Comparative Analysis of Digital Forensic Investigation Tools on Facebook Messenger Applications
Technological developments make it easier for people to communicate and share information. Facebook Messenger is an instant messenger that contains multi-platform for sending text, image, sound, and video messages. Besides being used for positive purposes, this technology can also be used to carry out harmful activities. This study conducts a forensic investigation on a crime simulation in pornographic content distribution using Facebook Messenger as a communication medium on Android smartphones. Perpetrators communicate and send pornographic content in the shape of conversations, audio, and video, then delete them to eliminate traces. Every crime can leave evidence therefore after erasing the track, it can be revealed through digital forensic investigations on the smartphone devices that are used as objects to find digital evidence. The collection of evidence in this study is used four forensic tools with the research stages the National Institute of Justice (NIJ) framework. The study result can be used as evidence by investigators on handling criminal cases with the results obtained in the shape of application versions, accounts, emails, conversation, time of occurrence, pictures, audio, and video. MOBILedit Forensic Express has an accuracy of 84.85%, Wondershare Dr. Fone 36.36%, Magnet Axiom 75.76%, and Belkasoft Evidence Center 69.70%.
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
Journal of Cyber Security and Mobility
Journal of Cyber Security and Mobility Computer Science-Computer Networks and Communications
CiteScore
2.30
自引率
0.00%
发文量
10
期刊介绍: Journal of Cyber Security and Mobility is an international, open-access, peer reviewed journal publishing original research, review/survey, and tutorial papers on all cyber security fields including information, computer & network security, cryptography, digital forensics etc. but also interdisciplinary articles that cover privacy, ethical, legal, economical aspects of cyber security or emerging solutions drawn from other branches of science, for example, nature-inspired. The journal aims at becoming an international source of innovation and an essential reading for IT security professionals around the world by providing an in-depth and holistic view on all security spectrum and solutions ranging from practical to theoretical. Its goal is to bring together researchers and practitioners dealing with the diverse fields of cybersecurity and to cover topics that are equally valuable for professionals as well as for those new in the field from all sectors industry, commerce and academia. This journal covers diverse security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications and those involving mobility aspects will also be published.
期刊最新文献
Network Malware Detection Using Deep Learning Network Analysis An Efficient Intrusion Detection and Prevention System for DDOS Attack in WSN Using SS-LSACNN and TCSLR Update Algorithm of Secure Computer Database Based on Deep Belief Network Malware Cyber Threat Intelligence System for Internet of Things (IoT) Using Machine Learning Deep Learning Based Hybrid Analysis of Malware Detection and Classification: A Recent Review
×
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