对话式人工智能取证:ChatGPT、Gemini、Copilot和Claude的案例研究

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Kyungsuk Cho, Yunji Park, Jiyun Kim, Byeongjun Kim, Doowon Jeong
{"title":"对话式人工智能取证:ChatGPT、Gemini、Copilot和Claude的案例研究","authors":"Kyungsuk Cho,&nbsp;Yunji Park,&nbsp;Jiyun Kim,&nbsp;Byeongjun Kim,&nbsp;Doowon Jeong","doi":"10.1016/j.fsidi.2024.301855","DOIUrl":null,"url":null,"abstract":"<div><div>Recent advances in conversational AI services have attracted interest from both specialized technical communities and the general public. Major IT companies such as OpenAI, Microsoft, and Google are actively developing and enhancing conversational AI technologies. The widespread public interest and usage of these services are rapidly increasing due to their interactive chat interfaces, which are easily accessible to anyone with basic digital literacy. However, with the growing utilization of these services, there is a risk that some users may exploit them for malicious purposes, such as technology leaks, phishing, and malware creation. This paper proposes a method for forensically investigating conversational AI services. It examines the characteristics of these services across various environments from the perspective of a digital forensic investigator and outlines a method for collecting forensic artifacts. Based on the analysis, we present a forensic investigation framework for conversational AI services, including case studies of representative services such as ChatGPT, Copilot, Gemini, and Claude.</div></div>","PeriodicalId":48481,"journal":{"name":"Forensic Science International-Digital Investigation","volume":"52 ","pages":"Article 301855"},"PeriodicalIF":2.0000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conversational AI forensics: A case study on ChatGPT, Gemini, Copilot, and Claude\",\"authors\":\"Kyungsuk Cho,&nbsp;Yunji Park,&nbsp;Jiyun Kim,&nbsp;Byeongjun Kim,&nbsp;Doowon Jeong\",\"doi\":\"10.1016/j.fsidi.2024.301855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Recent advances in conversational AI services have attracted interest from both specialized technical communities and the general public. Major IT companies such as OpenAI, Microsoft, and Google are actively developing and enhancing conversational AI technologies. The widespread public interest and usage of these services are rapidly increasing due to their interactive chat interfaces, which are easily accessible to anyone with basic digital literacy. However, with the growing utilization of these services, there is a risk that some users may exploit them for malicious purposes, such as technology leaks, phishing, and malware creation. This paper proposes a method for forensically investigating conversational AI services. It examines the characteristics of these services across various environments from the perspective of a digital forensic investigator and outlines a method for collecting forensic artifacts. Based on the analysis, we present a forensic investigation framework for conversational AI services, including case studies of representative services such as ChatGPT, Copilot, Gemini, and Claude.</div></div>\",\"PeriodicalId\":48481,\"journal\":{\"name\":\"Forensic Science International-Digital Investigation\",\"volume\":\"52 \",\"pages\":\"Article 301855\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Science International-Digital Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666281724001823\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International-Digital Investigation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666281724001823","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

对话式人工智能服务的最新进展吸引了专业技术社区和公众的兴趣。OpenAI、微软、b谷歌等主要信息技术(IT)企业正在积极开发和加强对话式人工智能技术。由于其交互式聊天界面,具有基本数字素养的任何人都可以轻松访问,因此广泛的公众兴趣和对这些服务的使用正在迅速增加。然而,随着这些服务的使用越来越多,存在一些用户可能利用它们进行恶意目的的风险,例如技术泄漏、网络钓鱼和恶意软件创建。本文提出了一种对会话人工智能服务进行法医调查的方法。它从数字法医调查员的角度检查了这些服务在各种环境中的特征,并概述了收集法医文物的方法。基于分析,我们提出了对话式人工智能服务的取证调查框架,包括ChatGPT、Copilot、Gemini和Claude等代表性服务的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conversational AI forensics: A case study on ChatGPT, Gemini, Copilot, and Claude
Recent advances in conversational AI services have attracted interest from both specialized technical communities and the general public. Major IT companies such as OpenAI, Microsoft, and Google are actively developing and enhancing conversational AI technologies. The widespread public interest and usage of these services are rapidly increasing due to their interactive chat interfaces, which are easily accessible to anyone with basic digital literacy. However, with the growing utilization of these services, there is a risk that some users may exploit them for malicious purposes, such as technology leaks, phishing, and malware creation. This paper proposes a method for forensically investigating conversational AI services. It examines the characteristics of these services across various environments from the perspective of a digital forensic investigator and outlines a method for collecting forensic artifacts. Based on the analysis, we present a forensic investigation framework for conversational AI services, including case studies of representative services such as ChatGPT, Copilot, Gemini, and Claude.
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
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
×
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:604180095
Book学术官方微信