SoK: exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation

Xiaoyu Du, C. Hargreaves, John W. Sheppard, Felix Anda, A. Sayakkara, Nhien-An Le-Khac, M. Scanlon
{"title":"SoK: exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation","authors":"Xiaoyu Du, C. Hargreaves, John W. Sheppard, Felix Anda, A. Sayakkara, Nhien-An Le-Khac, M. Scanlon","doi":"10.1145/3407023.3407068","DOIUrl":null,"url":null,"abstract":"Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of cases requiring their expertise compounded by the volume of data to be processed. Artificial intelligence is often seen as the solution to many big data problems. This paper summarises existing artificial intelligence based tools and approaches in digital forensics. Automated evidence processing leveraging artificial intelligence based techniques shows great promise in expediting the digital forensic analysis process while increasing case processing capacities. For each application of artificial intelligence highlighted, a number of current challenges and future potential impact is discussed.","PeriodicalId":121225,"journal":{"name":"Proceedings of the 15th International Conference on Availability, Reliability and Security","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3407023.3407068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of cases requiring their expertise compounded by the volume of data to be processed. Artificial intelligence is often seen as the solution to many big data problems. This paper summarises existing artificial intelligence based tools and approaches in digital forensics. Automated evidence processing leveraging artificial intelligence based techniques shows great promise in expediting the digital forensic analysis process while increasing case processing capacities. For each application of artificial intelligence highlighted, a number of current challenges and future potential impact is discussed.
SoK:探索人工智能在数字法医调查中的最新技术和未来潜力
多年的数字取证积压在全球各地的执法机构中已经司空见惯。数字法医调查人员因需要他们专业知识的案件数量和需要处理的数据量而超负荷。人工智能通常被视为许多大数据问题的解决方案。本文总结了数字取证中现有的基于人工智能的工具和方法。利用基于人工智能技术的自动证据处理在加快数字法医分析过程同时提高案件处理能力方面显示出巨大的希望。对于人工智能的每一个应用强调,一些当前的挑战和未来的潜在影响进行了讨论。
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 求助全文
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:604180095
Book学术官方微信