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

本义

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

小故事

Catch Me if You Can: Analysis of Digital Devices and Artifacts Used in Murder Casesn. 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

滔滔不绝的人

Enhancing Incident Management by an Improved Understanding of Data Exfiltration: Definition, Evaluatt 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

affect

Identify Users on Dating Applications: A Forensic Perspective 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

欺骗手段

Removing Noise (Opinion Messages) for Fake News Detection in Discussion Forum Using BERT Modelritten Traditional Chinese from the most popular discussion forum in Hong Kong, namely, LIHKG, relating to local Government officials, then used the Bidirectional Encoder Representations from Transformers (BERT) model to identify opinion contents which achieve 98.7% accuracy, and generalized well in

CHASM

A Multi-carrier Information Hiding Algorithm Based on Dual 3D Model Spectrum Analysisss 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

CHASM

CHASE

DEML: Data-Enhanced Meta-Learning Method for IoT APT Traffic Detectionperiments 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

表示向下

Finding Forensic Artefacts in Long-Term Frequency Band Occupancy Measurements Using Statistics and Mutliers. Furthermore, we created two datasets of long-term frequency band occupancy measurements that were used to evaluate our approach. We also evaluated our datasets with different machine learning techniques, which demonstrate that Random Forest has the highest classification accuracy and sensit

MITE

IoT Malicious Traffic Detection Based on Federated Learningl data for model training and testing, and the central server for model aggregation. The experimental results show that FlIMT achieves high detection accuracy on real data collected from IoT devices, and significantly lessens communication rounds.