Titlebook: Digital Forensics and Cyber Crime; Fifth International Pavel Gladyshev,Andrew Marrington,Ibrahim Baggili Conference proceedings 2014 Insti

PED

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

眨眼

Neonatal

Regulating Social Network Services for Lawful Interceptionre they can openly voice their opinions, gain followers and instigate and organize disruptive activities..The nature of the communication within social networks, the ease of establishing fake identities therein, the fact that the client-server communication can be encrypted, and the huge amount of d

嫌恶

Measuring Accuracy of Automated Parsing and Categorization Tools and Processes in Digital Investigat analysis by an expert. It is shown that such measurement can allow investigators to determine changes in accuracy of their processes over time, and determine if such a change is caused by their tools or knowledge.

MEN

Towards a Process Model for Hash Functions in Digital Forensicspproaches for bytewise and semantic approximate matching (for semantic we focus on images functions). Second, we compare implementations and summarize the strengths and weaknesses of all approaches. Third, we show how to integrate these functions based on a sample use case into one existing process

endure

https://doi.org/10.1007/978-3-030-70343-1 therefore leads to more robust feature extraction results. Experimental results demonstrate that our method is robust not only to noise contamination, blurring, and JPEG compression, but also to region scaling, rotation and flipping, respectively.

endure

António Fragoso,Edmée Ollagniervalues in the National Software Reference Library, an additional 54.7 % were eliminated that matched two of our nine criteria, few of whose hash values were in two commercial hash sets. False negatives were estimated at 0.1 % and false positives at 19.0 %. We confirmed the generality of our methods

暴发户

Diatribe

仲裁者