Cyber Fingerprinting for Digital Forensics (CyberFP)

Cyber Forensic Fingerprinting (CyberFP) has emerged as a critical tool for verifying the authenticity and origin of digital devices and evidence in forensic investigations. This paper presents a novel CyberFP verification framework based on the Chain & Hash evidences analysis, which leverages cryptographic hashes, digital signatures, and behavioral patterns to establish ownership and integrity. A multi-layered approach was developed to integrate Trusted Platform Module (TPM) data, sector watermarks, and timing signatures, validated through a probabilistic model achieving higher success rates across diverse scenarios. The framework enhances tamper resistance with redundant embeddings and cryptographic roots of trust, addresses scalability through hierarchical key management and cloud-based databases, and ensures legal admissibility via standardized protocols and blockchain custody logs.

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Publication Details

Published
2025-04-12
DOI
https://doi.org/10.1109/es64449.2025.11136551
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
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article

Cyber Fingerprinting for Digital Forensics (CyberFP)

Yifan Liu, Shancang Li
Digital Media Forensic Detection
article

Cyber Fingerprinting for Digital Forensics (CyberFP)

Yifan Liu, Shancang Li
article en

Abstract

Cyber Forensic Fingerprinting (CyberFP) has emerged as a critical tool for verifying the authenticity and origin of digital devices and evidence in forensic investigations. This paper presents a novel CyberFP verification framework based on the Chain & Hash evidences analysis, which leverages cryptographic hashes, digital signatures, and behavioral patterns to establish ownership and integrity. A multi-layered approach was developed to integrate Trusted Platform Module (TPM) data, sector watermarks, and timing signatures, validated through a probabilistic model achieving higher success rates across diverse scenarios. The framework enhances tamper resistance with redundant embeddings and cryptographic roots of trust, addresses scalability through hierarchical key management and cloud-based databases, and ensures legal admissibility via standardized protocols and blockchain custody logs.

Cardiff University (GB)
Openalex Percentile: Top 78%
Digital Media Forensic Detection
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