Digital Forensics and Cyber Crime (eBook)

16th EAI International Conference, ICDF2C 2025, Miami, FL, USA, November 17-19, 2025, Proceedings,Part I
Artikelnummer: 978-3-032-22542-9
Einband: PDF
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This two-volume set, LNICST 685 and 686, constitutes the refereed post-conference proceedings of the 16th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2025, Miami, FL, USA, during November 17-19, 2025.

The 66 full papers and 1 poster paper included in these volumes were carefully reviewed and selected from 163 submissions. They have been organized in the following topical sections:

Part I: AI and Machine Learning in Digital Forensics: Papers applying AI, LLMs, and deep learning to detect anomalies,enhance forensics, or improve model reliability; Digital Forensics and Incident Response: Focused on forensic investigation, evidence recovery, data analysis, and structured workflows; Adversarial Machine Learning and Attack Detection: Addressing adversarial AI, attack simulation, and defensive mechanisms; and Cyber Threat Intelligence and Malware Analysis: Focus on malware detection, honeynets, phishing, traffic analysis, and intrusion defense.

Part II: Cyber Threat Intelligence and Malware Analysis: Focus on malware detection, honeynets, phishing, traffic analysis, and intrusion defense; Digital Evidence Management, Blockchain, and Privacy: Addressing blockchain forensics, data provenance, and privacy-preserving computation; Critical Infrastructure and Cyber-Physical Security: Cyber resilience in physical and industrial systems, including IoT, satellites, and SCADA; Legal, Policy, and AI Governance in Digital Forensics: Studies bridging AI governance, digital law, compliance, and socio-technical policy; and Posters & Demos.

This two-volume set, LNICST 685 and 686, constitutes the refereed post-conference proceedings of the 16th EAI International Conference on Digital Forensics and Cyber Crime, ICDF2C 2025, Miami, FL, USA, during November 17-19, 2025.

The 66 full papers and 1 poster paper included in these volumes were carefully reviewed and selected from 163 submissions. They have been organized in the following topical sections:

Part I: AI and Machine Learning in Digital Forensics: Papers applying AI, LLMs, and deep learning to detect anomalies,enhance forensics, or improve model reliability; Digital Forensics and Incident Response: Focused on forensic investigation, evidence recovery, data analysis, and structured workflows; Adversarial Machine Learning and Attack Detection: Addressing adversarial AI, attack simulation, and defensive mechanisms; and Cyber Threat Intelligence and Malware Analysis: Focus on malware detection, honeynets, phishing, traffic analysis, and intrusion defense.

Part II: Cyber Threat Intelligence and Malware Analysis: Focus on malware detection, honeynets, phishing, traffic analysis, and intrusion defense; Digital Evidence Management, Blockchain, and Privacy: Addressing blockchain forensics, data provenance, and privacy-preserving computation; Critical Infrastructure and Cyber-Physical Security: Cyber resilience in physical and industrial systems, including IoT, satellites, and SCADA; Legal, Policy, and AI Governance in Digital Forensics: Studies bridging AI governance, digital law, compliance, and socio-technical policy; and Posters & Demos.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2026
Seitenangabe588 S.
AusgabekennzeichenEnglisch
AbbildungenXII, 588 p. 191 illus., 146 illus. in color.
Masse69'796 KB
PlattformPDF
ReiheLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorChoo, Kim-Kwang Raymond (Hrsg.) / Perez-Pons, Alexander (Hrsg.) / Upadhyay, Himanshu (Hrsg.) / Lu, Rongxing (Hrsg.) / Chow, Kam Pui (Hrsg.)

Alle Bände der Reihe "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Kim-Kwang Raymond (Hrsg.) Choo

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