Titlebook: Digital Forensics and Cyber Crime; Second International Ibrahim Baggili Conference proceedings 2011 ICST Institute for Computer Science, So

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書目名稱Digital Forensics and Cyber Crime影響因子(影響力)




書目名稱Digital Forensics and Cyber Crime影響因子(影響力)學科排名




書目名稱Digital Forensics and Cyber Crime網(wǎng)絡公開度




書目名稱Digital Forensics and Cyber Crime網(wǎng)絡公開度學科排名




書目名稱Digital Forensics and Cyber Crime被引頻次




書目名稱Digital Forensics and Cyber Crime被引頻次學科排名




書目名稱Digital Forensics and Cyber Crime年度引用




書目名稱Digital Forensics and Cyber Crime年度引用學科排名




書目名稱Digital Forensics and Cyber Crime讀者反饋




書目名稱Digital Forensics and Cyber Crime讀者反饋學科排名

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Software Piracy Forensics: The Need for Further Developing AFC,raction-Filtering-Comparison), an accepted approach in US courts for evaluating copyright infringement claims involving computer software. Through this paper, the authors would like to approach AFC in a threefold manner: One, to discuss the nature and efficacy of AFC; two, to recount some existing o

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Reliable Acquisition of RAM Dumps from Intel-Based Apple Mac Computers over FireWire,f Apple Mac computers equipped with a FireWire connection. However, the existing techniques for doing so require substantial knowledge of the target computer configuration and cannot be used reliably on a previously unknown computer in a crime scene. This paper proposes a novel method for acquiring

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Defining a Standard for Reporting Digital Evidence Items in Computer Forensic Tools, paper proposes a standard for digital evidence to be used in reports that are generated using computer forensic software tools. The authors focused on developing a standard digital evidence items by surveying various digital forensic tools while keeping in mind the legal integrity of digital eviden

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Semantic Modelling of Digital Forensic Evidence,n of findings between different parties. Popular forensic suites aid in the reporting process by storing provenance and positional data but do not automatically encode why the evidence is considered important. In this paper we introduce an evidence management methodology to encode the semantic infor