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Titlebook: Digital Forensics and Cyber Crime; 13th EAI Internation Sanjay Goel,Pavel Gladyshev,Daryl Johnson Conference proceedings 2023 ICST Institut

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发表于 2025-3-21 16:42:15 | 显示全部楼层 |阅读模式
书目名称Digital Forensics and Cyber Crime
副标题13th EAI Internation
编辑Sanjay Goel,Pavel Gladyshev,Daryl Johnson
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Digital Forensics and Cyber Crime; 13th EAI Internation Sanjay Goel,Pavel Gladyshev,Daryl Johnson Conference proceedings 2023 ICST Institut
描述This book constitutes the refereed proceedings of the 13th EAI International Conference on Practical Aspects of Digital Forensics and Cyber Crime, ICDF2C 2022, held in Boston, MA, during November 16-18, 2022..The 28 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows: Image Forensics; Forensics Analysis; spread spectrum analysis; traffic analysis and monitoring; malware analysis; security risk management; privacy and security..
出版日期Conference proceedings 2023
关键词Computer Science; Informatics; artificial intelligence; computer crime; computer networks; computer secur
版次1
doihttps://doi.org/10.1007/978-3-031-36574-4
isbn_softcover978-3-031-36573-7
isbn_ebook978-3-031-36574-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
The information of publication is updating

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书目名称Digital Forensics and Cyber Crime网络公开度学科排名




书目名称Digital Forensics and Cyber Crime被引频次




书目名称Digital Forensics and Cyber Crime被引频次学科排名




书目名称Digital Forensics and Cyber Crime年度引用




书目名称Digital Forensics and Cyber Crime年度引用学科排名




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书目名称Digital Forensics and Cyber Crime读者反馈学科排名




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1867-8211 m 80 submissions. They were organized in topical sections as follows: Image Forensics; Forensics Analysis; spread spectrum analysis; traffic analysis and monitoring; malware analysis; security risk management; privacy and security..978-3-031-36573-7978-3-031-36574-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
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Petra Schneider,Ralf Löser,Frank Gösselent of accurate digital forensic techniques which require not only the confirmation of the data integrity but also the verification of its origin source. To this end, machine and/or deep learning techniques are widely being employed within forensics tools. Nevertheless, while these techniques became
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Konrad Otto-Zimmermann,Alice BalboNNs) have successfully helped boost business efficiency and reduce costs. To protect the intellectual property (IP) of DNN classifiers, a blind-watermarking-based technique that opens “backdoors” through image steganography has been proposed. However, it is yet to explore whether this approach can e
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https://doi.org/10.1007/978-981-15-2529-2ces. With the surging usage of online telecommunication software, online meeting exploitation and disruptions cases also increased. However, there is limited research performed on online telecommunication software from the forensics perspective, and most are focused on Skype. Also, even though the i
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