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Titlebook: Digital Forensics and Cyber Crime; 11th EAI Internation Sanjay Goel,Pavel Gladyshev,Suryadipta Majumdar Conference proceedings 2021 ICST In

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https://doi.org/10.1007/978-3-319-95135-5. The experiments conducted on 2,898 tampered breast cancer images randomly selected from DDSM dataset show the pixel-level . of MITD-CMFL reaches up to 95.07% under plain copy-move attack, and the method has superior performance even under typical image transformations compared to the state-of-the-
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Ramona Țigănașu,Loredana Maria Simionove. Such excessive collection leads to not only legal concerns about the data privacy but also a massive examination backlog in a lab. To alleviate the challenge, a field triage model enabling an accurate data processing and acquisition is proposed.
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Efficient Fingerprint Matching for Forensic Event Reconstruction,r log files to detect them. We develop a matching algorithm and examine the different parameters that influence its performance both in terms of event detectability and detection time. We also examine the effect of using different subsets of system calls to improve matching efficiency.
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Neural Representation Learning Based Binary Code Authorship Attribution,evaluate the NMPI, the study constructs a large dataset consisting of 268796 functions collected from Google CodeJam. The extensive experimental evaluation shows that NMPI can achieve 91% accuracy for the function-level binary code authorship attribution task.
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https://doi.org/10.1007/978-94-024-1123-2nd preservation of evidence during the investigation of the air-gap system. The solution needs to be operational with minimal interaction behind the keyboard. In this paper, it will compare and benchmark other industry solutions with proposed solution in this research.
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Oana-Ramona Socoliuc,Liviu-George Mahahavior is a major reason for traffic accidents. Our evaluation with real driving experiments shows that our approach is suitable for analyzing likely routes and driving behavior in order to prioritize suspects in an investigation.
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