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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書目名稱Advances in Digital Forensics XIV影響因子(影響力)




書目名稱Advances in Digital Forensics XIV影響因子(影響力)學科排名




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書目名稱Advances in Digital Forensics XIV網(wǎng)絡公開度學科排名




書目名稱Advances in Digital Forensics XIV被引頻次




書目名稱Advances in Digital Forensics XIV被引頻次學科排名




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書目名稱Advances in Digital Forensics XIV年度引用學科排名




書目名稱Advances in Digital Forensics XIV讀者反饋




書目名稱Advances in Digital Forensics XIV讀者反饋學科排名

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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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