Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach (2020)
Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020). Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy (289-298). https://doi.org/10.5220/0008902202890298

Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high situational awareness, it can still be hard for users to continually be awa... Read More about Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach.

Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems (2020)
Journal Article
Mckeown, S., Russell, G., & Leimich, P. (2020). Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems. Journal of Digital Forensics, Security and Law, 14(3), Article 1

A common investigative task is to identify known contraband images on a device, which typically involves calculating cryptographic hashes for all the files on a disk and checking these against a database of known contraband. However, modern drives ar... Read More about Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems.

Utilising Reduced File Representations to Facilitate Fast Contraband Detection (2019)
Thesis
McKeown, S. Utilising Reduced File Representations to Facilitate Fast Contraband Detection. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2386199

Digital forensics practitioners can be tasked with analysing digital data, in all its forms, for legal proceedings. In law enforcement, this largely involves searching for contraband media, such as illegal images and videos, on a wide array of electr... Read More about Utilising Reduced File Representations to Facilitate 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.

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.

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.

Fast Filtering of Known PNG Files Using Early File Features (2017)
Conference Proceeding
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

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... Read More about Fast Filtering of Known PNG Files Using Early File Features.

InfoScout: An interactive, entity centric, person search tool. (2016)
Conference Proceeding
McKeown, S., Buivys, M., & Azzopardi, L. (2016). InfoScout: An interactive, entity centric, person search tool. In SIGIR '16 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (1113-1116). https://doi.org/10.1145/2911451.2911468

Individuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud dete... Read More about InfoScout: An interactive, entity centric, person search tool..