Digital Forensics and Cyber Crime (eBook, PDF)

11th EAI International Conference, ICDF2C 2020, Boston, MA, USA, October 15-16, 2020, Proceedings
Redaktion: Goel, Sanjay; Majumdar, Suryadipta; Pourzandi, Makan; Johnson, Daryl; Gladyshev, Pavel

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 11th International Conference on Digital Forensics and Cyber Crime, ICDF2C 2020, held in Boston, MA, in October 2020. Due to COVID-19 pandemic the conference was held virtually.

The 11 reviewed full papers and 4 short papers were selected from 35 submissions and are grouped in topical sections on digital forensics; cyber-physical system Forensics; event reconstruction in digital forensics; emerging topics in forensics; cybersecurity and digital forensics.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 251
• Erscheinungstermin: 6. Februar 2021
• Englisch
• ISBN-13: 9783030687342
• Artikelnr.: 62290383

Inhaltsangabe

On Reliability of JA3 Hashes for Fingerprinting Mobile Applications.- Make Remote Forensic Investigations Forensic Again: Increasing the Evidential Value of Remote Forensic Investigations.- Evidence gathering in IoT criminal investigation Effective Medical Image Copy-Move Forgery Localization Based on Texture Descriptor.- A Partial Approach to Intrusion Detection.- Efficient Fingerprint Matching for Forensic Event Reconstruction.- Modelling GOP structure effects on ENF-based video forensics.- Android Dumpsys Analysis to Indicate Driver Distraction.- Adapting to local conditions: Similarities and differences in anonymous online market between Chinese and English Speaking Communities.- Remote air-gap Live forensics.- A Digital Forensic Approach for Optimizing the Investigation of Hit-And-Run Accidents.- .- An Intelligence Criminal Tracker for Industrial Espionage: Applying Digital Data Acquired Onsite to Target Criminals.- Retracing the Flow of the Stream: Investigating Kodi Streaming Services.- Cybersecurity Methodology for Specialized Behavior Analysis.- Neural Representation Learning Based Binary Code Authorship Attribution.