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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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書(shū)目名稱Digital Forensics and Cyber Crime
副標(biāo)題13th EAI Internation
編輯Sanjay Goel,Pavel Gladyshev,Daryl Johnson
視頻videohttp://file.papertrans.cn/280/279328/279328.mp4
叢書(shū)名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書(shū)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
關(guān)鍵詞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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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 L?ser,Frank G?sselent 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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