Fast Filtering of Known PNG Files Using Early File Features

McKeown, Sean; Russell, Gordon; Leimich, Petra

Abstract

A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algorithms such as SHA256, for each image on a given media, comparing individual digests with a database of known contraband. However, the large capacities of modern storage media, and increased time pressure on forensics examiners, necessitates that more efficient processing mechanisms be developed. This work describes a technique for creating signatures for images of the PNG format which only requires a tiny fraction of the file to effectively distinguish between a large number of images. Highly distinct, and compact, such analysis lays the foundation for future work in fast forensics filtering using subsets of evidential data.

Citation

McKeown, S., Russell, G., & Leimich, P. (2017). Fast Filtering of Known PNG Files Using Early File Features. In Proceedings of the Conference on Digital Forensics, Security and Law

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: Annual Conference on Digital Forensics, Security and Law
• Start Date: May 15, 2017
• End Date: May 16, 2017
• Acceptance Date: Feb 27, 2017
• Publication Date: 2017
• Deposit Date: Apr 7, 2017
• Publicly Available Date: Apr 7, 2017
• Series ISSN: 1931-7379
• Book Title: Proceedings of the Conference on Digital Forensics, Security and Law
• Keywords: digital forensics, file filtering, image comparison, image processing, known file analysis
• Public URL: http://researchrepository.napier.ac.uk/Output/810782
• Related Public URLs: http://commons.erau.edu/adfsl/2017/papers/1
• Contract Date: Apr 7, 2017