Practical Cyber Threat Intelligence in the UK Energy Sector
Conference Proceeding
Paice, A., & McKeown, S. (in press)
Practical Cyber Threat Intelligence in the UK Energy Sector. In International Conference on Cybersecurity, Situational Awareness and Social Media (Cyber Science 2022)
The UK energy sector is a prime target for cyber-attacks by foreign states, criminals, ‘hacktivist’ groups and terrorists. As Critical National Infrastructure (CNI), the indus...
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. 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 ...
Microtargeting or Microphishing? Phishing Unveiled
Conference Proceeding
Khursheed, B., Pitropakis, N., McKeown, S., & Lambrinoudakis, C. (2020)
Microtargeting or Microphishing? Phishing Unveiled. In Trust, Privacy and Security in Digital Business. , (89-105). https://doi.org/10.1007/978-3-030-58986-8_7
Online advertisements delivered via social media platforms function in a similar way to phishing emails. In recent years there has been a growing awareness that political adve...
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...
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...
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...
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...
Fast Filtering of Known PNG Files Using Early File Features
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 algor...