Alexander Perez-Pons – författare

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.