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Titlebook: Digital Forensics and Cyber Crime; 4th International Co Marcus Rogers,Kathryn C. Seigfried-Spellar Conference proceedings 2013 ICST Institu

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發(fā)表于 2025-3-25 06:27:00 | 只看該作者
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發(fā)表于 2025-3-25 16:02:21 | 只看該作者
Tejaswini Eregowda,Sanjeeb Mohapatragiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been proposed. This paper presents an overview and critique of the state of the art in the field. An independent comparative study is presented using an unprecedented experim
25#
發(fā)表于 2025-3-25 23:32:09 | 只看該作者
Ashwin Singh,Arbind Kumar Patel,Manish Kumare victim’s computer. Unfortunately, currently proposed dynamic malware analysis methods and sandbox solutions have a number of limitations that may lead the investigators to ambiguous conclusions. In this research, the limitations of the use of current dynamic malware analysis methods in digital for
26#
發(fā)表于 2025-3-26 03:39:16 | 只看該作者
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發(fā)表于 2025-3-26 04:53:14 | 只看該作者
https://doi.org/10.1007/978-3-031-13040-3is research explores peoples’ engagement in bypassing the Internet proxy and if it is related to cyber criminal engagement. Through an experimental design, participants were randomly assigned to three groups. Using manipulation paragraphs, in the first group (Group 1), a positive view on the Interne
28#
發(fā)表于 2025-3-26 11:06:34 | 只看該作者
29#
發(fā)表于 2025-3-26 14:52:05 | 只看該作者
Yoshiki Yamagata,Ayyoob Sharifiin this domain. This research studied, categorized and analyzed a sample of five-hundred publications (n=500) from this discipline. The results indicated that the rate of publication in this domain continues to increase over time. Additionally, results showed an overall lack of anti-forensics resear
30#
發(fā)表于 2025-3-26 18:34:04 | 只看該作者
https://doi.org/10.1007/978-3-319-75798-8ique based on wavelet transform and the least square estimator to enhance the classical LBP. First, Wavelet transform is used to decompose a given image into four kinds of frequency images from which the features of that image can be extracted. Then, the least square estimation of local difference b
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