Outputs (58)

A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence (2024)
Conference Proceeding
Onyeashie, B. I., Leimich, P., McKeown, S., & Russell, G. (2024). A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence. In Big Data Technologies and Applications. BDTA 2023. https://doi.org/10.1007/978-3-031-52265-9_8

The effective management of digital evidence is critical to modern forensic investigations. However, traditional evidence management approaches are often prone to security and integrity issues. In recent years, the use of blockchain technology has em... Read More about A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence.

An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case (2024)
Conference Proceeding
Onyeashie, B., Leimich, P., McKeown, S., & Russell, G. (2024). An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. In Big Data Technologies and Applications (156-167). https://doi.org/10.1007/978-3-031-52265-9_11

This paper presents a decentralised framework for sharing and managing evidence that uses smart lockers, blockchain technology, and the InterPlanetary File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamp... Read More about An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case.

Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis (2023)
Conference Proceeding
Thaeler, A., Yigit, Y., Maglaras, L. A., Buchanan, B., Moradpoor, N., & Russell, G. (in press). Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis. In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System   (2021)
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Tan, Z. (2021). Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System  . Ad hoc networks, 120, Article 102590. https://doi.org/10.1016/j.adhoc.2021.102590

Industrial Control Systems (ICS) are hardware, network, and software, upon which a facility depends to allow daily operations to function. In most cases society takes the operation of such systems, for example public transport, tap water or electrici... Read More about Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System  .

Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems (2021)
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Porcel-Bustamante, J. (2021). Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems. Symmetry, 13(3), Article 519. https://doi.org/10.3390/sym13030519

Industrial Control Systems are an essential part of our daily lives and can be found in industries such as oil, utilities, and manufacturing. Rapid growth in technology has introduced industrial components with network capabilities that allow them to... Read More about Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems.

Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features (2020)
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2020). Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN48605.2020.9207462

Industrial Control Systems have become a priority domain for cybersecurity practitioners due to the number of cyber-attacks against those systems has increased over the past few years. This paper proposes a real-time anomaly intrusion detector for a... Read More about Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features.

Forensic Considerations for the High Efficiency Image File Format (HEIF) (2020)
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 Galaxy S10 providing support more recently. The format is positioned to re... Read More about Forensic Considerations for the High Efficiency Image File Format (HEIF).

5G-FOG: Freezing of Gait Identification in Multi-Class Softmax Neural Network Exploiting 5G Spectrum (2020)
Conference Proceeding
Khan, J. S., Tahir, A., Ahmad, J., Shah, S. A., Abbasi, Q. H., Russell, G., & Buchanan, W. (2020). 5G-FOG: Freezing of Gait Identification in Multi-Class Softmax Neural Network Exploiting 5G Spectrum. In Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 3. https://doi.org/10.1007/978-3-030-52243-8_3

Freezing of gait (FOG) is one of the most incapacitating and disconcerting symptom in Parkinson's disease (PD). FOG is the result of neural control disorder and motor impairments, which severely impedes forward locomotion. This paper presents the exp... Read More about 5G-FOG: Freezing of Gait Identification in Multi-Class Softmax Neural Network Exploiting 5G Spectrum.

Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication (2020)
Journal Article
Aziz Shah, S., Ahmad, J., Tahir, A., Ahmed, F., Russell, G., Shah, S. Y., …Abbasi, Q. H. (2020). Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication. Micromachines, 11(4), Article 379. https://doi.org/10.3390/mi11040379

Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies in the near future. Exponential rise in future Radio-Frequency (RF) sensing... Read More about Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication.

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.