Titlebook: Digital Forensics and Cyber Crime; 14th EAI Internation Sanjay Goel,Paulo Roberto Nunes de Souza Conference proceedings 2024 ICST Institute

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https://doi.org/10.1007/978-3-030-70370-7nets, and.2) a sophisticated tunneling attempt that appeared to originate from overseas..We propose that deployments of VVM honeypots will help understand potential attacker’s techniques and sophistication. VVM honeypots may also help defenders prepare for and manage real attacks against electronic

Decibel

Peter Panfilov,Alexander Suleykinn. Guilty verdicts made up 64.15% of the examined cases and 98.11% of the evidence was deemed inculpatory, or evidence that proves guilt. This work seeks to provide a refined outlook as to how digital evidence is used when conducting a criminal investigation to ameliorate the efficiency of the digit

strain

Chapter 7 Data Science and Resiliencet step we evaluate three frequently used methods for cyber threat intelligence: Microsoft Threat Modeling Tool, the Malware Information and Sharing Platform (MISP), and the MITRE Adversarial Tactics, Techniques and Common Knowledge (ATT &CK) framework. Our evaluation goal is to find out whether thes

Inculcate

Vladimir M. Roytman,Igor E. Lukashevich lines of inquiry for investigators are limited in identifying the offender’s real identity. There has been no study in literature into what investigators could obtain from these apps to identify another user if you only had one account, such as an account from a victim of a crime. Therefore, in thi

Goblet-Cells

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Zdenek Filip,Katerina Demnerovass indicators, the algorithm improves its BCR values by 17.78%, 12.46%, 10.19%, 7.00%, 14.44%, 10.79%, 14.05%, 10.54%, 19.53%, 13.70%, 14.17%, and 10.26%, respectively, when compared with the two comparison algorithms in the face of 12.5° rotation, 0.7% noise addition, 50% simplification, 40% cuttin

Frenetic

Wei Wang,Francesco Di Maio,Enrico Zio feature points are selected as the feature areas for hidden data embedding. The hidden data is scrambled by the knight parade method to obtain the corresponding binary coded sequence. Finally, the hidden data is embedded by matching and modifying the parity sequence of the two significant bits with

Dna262

https://doi.org/10.1007/978-981-99-8672-9periments on a hybrid dataset where benign traffic comes from IoT-23 and APT traffic comes from Contagio. Experimental results show that our method outperforms the existing data enhancement methods. In addition, DEML achieves a detection accuracy of 99.35%, which is better than the baseline models i

Keshan-disease

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