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Effective Detection of Generated Images Using Frequency Transform
Hyoungwon Seo, Dongsu Kim, Seoyoen Oh, Jisang Lee, Haneol Jang
http://doi.org/10.5626/JOK.2025.52.4.350
In today's digital era, advanced image generation techniques have produced counterfeit images that are nearly indistinguishable from real ones, thereby undermining the trustworthiness of digital information. Conventional machine learning and deep learning methods have shown limitations when confronting these evolving generative algorithms. This study introduces a novel approach that can analyze characteristics of generated images in the frequency domain. Specifically, we independently applied the Fast Fourier Transform (FFT) and the Discrete Cosine Transform (DCT) to evaluate the effectiveness of each method for detecting generated images. Experimental results revealed that the FFT-based model improved the test accuracy by approximately 12.8%, while the DCT-based model demonstrated a performance enhancement of about 22.2%. These findings confirm that a frequency domain approach outperforms traditional spatial domain-based detection techniques. It is expected to make a substantial contribution to enhancing image reliability in digital forensics.
A Study on the Architecture of Cyber Public Information Forensic Tools for Investigation to Obtain the Court Evidence Ability
Jeongho Lee, Minchang Kang, HyunSeok Kang, Jaehoon Jang, Homook Cho
http://doi.org/10.5626/JOK.2022.49.6.494
Although recent development in Internet technology has brought many benefits to our lives, numerous dysfunctions, such as Internet-based cybercrime, have also increased. In order to effectively investigate such Internet-based cybercrime, it is essential to collect, store, and process cyber public information from a digital forensics perspective. However, related laws, such as the current Criminal Procedure Act, have not yet explicitly stipulated cyber public information forensics, or deletion of the original data, may also be one of the reasons for this occurrence. In this paper, we propose a novel architecture in processing and disclosing cyber information forensics tool for investigation to secure the legal evidence capability of cyber disclosure information collected between effective investigations and investigations of cybercrime. We also present a technical approach from a digital forensics perspective to demonstrate the integrity, identity, reproducibility, and authenticity of digital evidence to be observed while collecting and storing cyber disclosure information using the proposed tool.
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