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Titlebook: Advances in Digital Forensics XIV; 14th IFIP WG 11.9 In Gilbert Peterson,Sujeet Shenoi Conference proceedings 2018 IFIP International Feder

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发表于 2025-3-21 17:13:42 | 显示全部楼层 |阅读模式
期刊全称Advances in Digital Forensics XIV
期刊简称14th IFIP WG 11.9 In
影响因子2023Gilbert Peterson,Sujeet Shenoi
视频video
学科分类IFIP Advances in Information and Communication Technology
图书封面Titlebook: Advances in Digital Forensics XIV; 14th IFIP WG 11.9 In Gilbert Peterson,Sujeet Shenoi Conference proceedings 2018 IFIP International Feder
影响因子.ADVANCES IN DIGITAL FORENSICS XIV.Edited by: Gilbert Peterson and Sujeet Shenoi.Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Computer networks, cloud computing, smartphones, embedded devices and the Internet of Things have expanded the role of digital forensics beyond traditional computer crime investigations.  Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence in legal proceedings.  Digital forensics also has myriad intelligence applications; furthermore, it has a vital role in information assurance -  investigations of security breaches yield valuable information that can be used to design more secure and resilient systems...Advances in Digital Forensics XIV. describes original research results and innovative applications in the discipline of digital forensics.  In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations.  The areas of coverage include: Themes and Issues; Forensic Techniques; Network Forensics; Cloud Forensics; an
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Challenges for governance at central banks, consumes no more than 5 KB of memory per file. The effectiveness of the stream fuzzy hash algorithm is evaluated using a publicly-available dataset. The results demonstrate that, unlike other fuzzy hash algorithms, the precision and recall of the stream fuzzy hash algorithm are not compromised when processing unordered and incomplete inputs.
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https://doi.org/10.1007/978-3-540-72790-3 equivalents are characterized. This provides the basis for a protocol prediction method that uses entropy distribution averaging. Experiments demonstrate that the method has a prediction accuracy of 75%. The method also preserves privacy because it only computes the information entropy and does not parse the actual tunneled content.
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The aftermath of the Russian debt crisis,nts using a novel correntropy-variation technique. An evaluation of the network forensic scheme employing the UNSW-NB15 dataset demonstrates its utility and high performance compared with three state-of-the-art approaches.
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1868-4238 examination, analysis and presentation of electronic evidence. Computer networks, cloud computing, smartphones, embedded devices and the Internet of Things have expanded the role of digital forensics beyond traditional computer crime investigations.  Practically every crime now involves some aspect
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