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Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach

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. 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 ...

Using Amazon Alexa APIs as a Source of Digital Evidence

Conference Proceeding
Krueger, C., & Mckeown, S. (2020)
Using Amazon Alexa APIs as a Source of Digital Evidence. https://doi.org/10.1109/CyberSecurity49315.2020.9138849
With the release of Amazon Alexa and the first Amazon Echo device, the company revolutionised the smart home. It allowed their users to communicate with, and control, their sm...

Forensic Considerations for the High Efficiency Image File Format (HEIF)

Conference Proceeding
Mckeown, S., & Russell, G. (2020)
Forensic Considerations for the High Efficiency Image File Format (HEIF). https://doi.org/10.1109/CyberSecurity49315.2020.9138890
The High Efficiency File Format (HEIF) was adopted by Apple in 2017 as their favoured means of capturing images from their camera application, with Android devices such as the...

Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques - An Experiment

Conference Proceeding
Chacon, J., Mckeown, S., & Macfarlane, R. (2020)
Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques - An Experiment. https://doi.org/10.1109/CyberSecurity49315.2020.9138859
Attacks by Advanced Persistent Threats (APTs) have been shown to be difficult to detect using traditional signature-and anomaly-based intrusion detection approaches. Deception...

Testing And Hardening IoT Devices Against the Mirai Botnet

Conference Proceeding
Kelly, C., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (2020)
Testing And Hardening IoT Devices Against the Mirai Botnet. https://doi.org/10.1109/CyberSecurity49315.2020.9138887
A large majority of cheap Internet of Things (IoT) devices that arrive brand new, and are configured with out-of-the-box settings, are not being properly secured by the manufa...

Fast Forensic Triage Using Centralised Thumbnail Caches on Windows Operating Systems

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),
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 check...

Utilising Reduced File Representations to Facilitate Fast Contraband Detection

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 con...

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection

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 ...

Sub-file Hashing Strategies for Fast Contraband Detection

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 man...

Fingerprinting JPEGs With Optimised Huffman Tables

Journal Article
McKeown, S., Russell, G., & Leimich, P. (2018)
Fingerprinting JPEGs With Optimised Huffman Tables. Journal of Digital Forensics, Security and Law, 13(2), 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 algor...

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