All Outputs (3)

Sub-file Hashing Strategies for Fast Contraband Detection (2018)
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018). Sub-file Hashing Strategies for Fast Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security). https://doi.org/10.1109/CyberSecPODS.2018.8560680

Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for many law enforcement agencies. Data reduction techniques are required for fast... Read More about Sub-file Hashing Strategies for Fast Contraband Detection.

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection (2018)
Conference Proceeding
McKeown, S., Russell, G., & Leimich, P. (2018). Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. In 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security). https://doi.org/10.1109/CyberSecPODS.2018.8560671

Cloud based storage is increasing in popularity, with large volumes of data being stored remotely. Digital forensics investigators examining such systems remotely are limited by bandwidth constraints when accessing this kind of data using traditi... Read More about Reducing the Impact of Network Bottlenecks on Remote Contraband Detection.

Fingerprinting JPEGs With Optimised Huffman Tables (2018)
Journal Article
McKeown, S., Russell, G., & Leimich, P. (2018). Fingerprinting JPEGs With Optimised Huffman Tables. Journal of Digital Forensics, Security and Law, 13(2), Article 7. https://doi.org/10.15394/jdfsl.2018.1451

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 medium, and comparing indiv... Read More about Fingerprinting JPEGs With Optimised Huffman Tables.