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

贫血

书目名称Digital Forensics and Cyber Crime影响因子(影响力)




书目名称Digital Forensics and Cyber Crime影响因子(影响力)学科排名




书目名称Digital Forensics and Cyber Crime网络公开度




书目名称Digital Forensics and Cyber Crime网络公开度学科排名




书目名称Digital Forensics and Cyber Crime被引频次




书目名称Digital Forensics and Cyber Crime被引频次学科排名




书目名称Digital Forensics and Cyber Crime年度引用




书目名称Digital Forensics and Cyber Crime年度引用学科排名




书目名称Digital Forensics and Cyber Crime读者反馈




书目名称Digital Forensics and Cyber Crime读者反馈学科排名

Triglyceride

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

Spangle

Proclaim

单挑

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

cruise

cruise

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

公社

patriot

Mammal

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