Digital Forensics and Cyber Crime
13th EAI International Conference, ICDF2C 2022, Boston, MA, November 16-18, 2022, Proceedings
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 13th EAI International Conference on Practical Aspects of Digital Forensics and Cyber Crime, ICDF2C 2022, held in Boston, MA, during November 16-18, 2022.
The 28 full papers included in...
The 28 full papers included in...
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Produktinformationen zu „Digital Forensics and Cyber Crime “
Klappentext zu „Digital Forensics and Cyber Crime “
This book constitutes the refereed proceedings of the 13th EAI International Conference on Practical Aspects of Digital Forensics and Cyber Crime, ICDF2C 2022, held in Boston, MA, during November 16-18, 2022.The 28 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows: Image Forensics; Forensics Analysis; spread spectrum analysis; traffic analysis and monitoring; malware analysis; security risk management; privacy and security.
Inhaltsverzeichnis zu „Digital Forensics and Cyber Crime “
Image Forensics.- Image-to-Image Translation Generative Adversarial Networks for Video Source Camera Falsification.- Towards efficient on-site CSAM triage by clustering images from a source point of view.- Can Image Watermarking Efficiently Protect DeepLearning-Based Image Classifiers? - A Preliminary Security Analysis of an IP-Protecting Method.- Forensics Analysis.- Digital Forensics Tool Evaluation on Deleted Files.- Forensic Analysis of Webex on the iOS Platform.- Watch Your WeChat Wallet: Digital Forensics Approach on WeChat Payments on Android.- Crypto Wallet Artifact Detection on Android Devices using Advanced Machine Learning Techniques.- SPREAD SPECTRUM ANALYSIS.- CSCD: A Cyber Security Community Detection Scheme on Online Social Networks.- Shedding Light on Monopoly: Temporal Analysis of Drug Trades.- Extracting Spread-Spectrum Hidden Data Based on Better Lattice Decoding.- TRAFFIC ANALYSIS AND MONITORING.- MQTT Traffic Collection and ForensicAnalysis Framework.- IoT Malicious Traffic Detection Based on FSKDE and Federated DIOT-Pysyft.- Crime and Incident Watch for Smart Cities: A Sensor-Based Approach.- Malware Analysis.- The Lightweight Botnet Detection Model Based on the Improved UNet.- On the application of active learning to handle data evolution in Android malware detection.- Volatility Custom Profiling for Automated Hybrid ELF Malware Detection.- Security Risk Management.- The Need for Biometric Anti-Spoofing Policies: The Case of Etsy.- VPnet: A Vulnerability Prioritization Approach Using Pointer Network and Deep Reinforcement Learning.- Are External Auditors Capable of Dealing with Cybersecurity Risks?.- Deep Learning-based Detection of Cyberattacks in Software-Defined Networks.- Deep Learning Based Network Intrusion Detection System for Resource-Constrained Environments.- Poisoning-Attack Detection using an Auto-Encoder for Deep Learning Models.-
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PRIVACY AND SECURITY.- Attribute-based Proxy Re-encryption with Privacy Protection for Message Dissemination in VANET.- PBPAFL: A Federated Learning Framework with Hybrid Privacy Protection for Sensitive Data.- Cyber Crime undermines Data Privacy efforts - On the Balance between Data Privacy and Security.- Automating the Flow of Data Between Digital Forensic Tools using Apache NiFi.- Android Mobile Terminal Security Assessment Based on Analytical Hierarchy Process (AHP).- A General Steganalysis Method of QR Codes.
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Bibliographische Angaben
- 2023, 1st ed. 2023, XIII, 486 Seiten, 150 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Sanjay Goel, Pavel Gladyshev, Akatyev Nikolay, George Markowsky, Daryl Johnson
- Verlag: Springer, Berlin
- ISBN-10: 3031365739
- ISBN-13: 9783031365737
Sprache:
Englisch
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