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

本義

書目名稱Digital Forensics and Cyber Crime影響因子(影響力)




書目名稱Digital Forensics and Cyber Crime影響因子(影響力)學(xué)科排名




書目名稱Digital Forensics and Cyber Crime網(wǎng)絡(luò)公開度




書目名稱Digital Forensics and Cyber Crime網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Forensics and Cyber Crime被引頻次




書目名稱Digital Forensics and Cyber Crime被引頻次學(xué)科排名




書目名稱Digital Forensics and Cyber Crime年度引用




書目名稱Digital Forensics and Cyber Crime年度引用學(xué)科排名




書目名稱Digital Forensics and Cyber Crime讀者反饋




書目名稱Digital Forensics and Cyber Crime讀者反饋學(xué)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

滔滔不絕的人

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

欺騙手段

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.