All Outputs (13)

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.

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.

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.

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.

Editorial: TLAD 2015 (2015)
Conference Proceeding
Leimich, P., & Bhogal, J. (2015). Editorial: TLAD 2015. In Proceedings TLAD 2015. 13th International Workshop on the Teaching, Learning and Assessment of Databases

No abstract available.

Editorial: TLAD 2014 (2014)
Conference Proceeding
Leimich, P., & Monger, A. (2014). Editorial: TLAD 2014. In Proceedings TLAD 2014. 12th International Workshop on the Teaching, Learning and Assessment of Databases

No abstract avialable.

An investigation into PL/SQL Injection. (2013)
Conference Proceeding
Paterson, R., & Leimich, P. (2013). An investigation into PL/SQL Injection.

SQL injection is a common attack method used to leverage infor-mation out of a database or to compromise a company’s network. This paper investigates four injection attacks that can be conducted against the PL/SQL engine of Oracle databases, comparin... Read More about An investigation into PL/SQL Injection..

Editorial: TLAD 2013 (2013)
Conference Proceeding
Leimich, P., & Nelson, D. (2013). Editorial: TLAD 2013. In Proceedings TLAD 2013. 11th International Workshop on Teaching, Learning and Assessment of Databases

No abstract available.

Uses of Peer Assessment in Database Teaching and Learning (2012)
Conference Proceeding
Paterson, J., Wilson, J. N., & Leimich, P. (2012). Uses of Peer Assessment in Database Teaching and Learning. In Data Security and Security Data (135-146). https://doi.org/10.1007/978-3-642-25704-9_17

This discussion paper introduces three very different methods and contexts for the use of peer assessment in introductory database classes, each of which is supported by different learning software tools. In the first case study, at Glasgow Caledonia... Read More about Uses of Peer Assessment in Database Teaching and Learning.

Editorial: TLAD 2012 (2012)
Conference Proceeding
Leimich, P., & Byrne, B. (2012). Editorial: TLAD 2012. In Proceedings TLAD 2012. 10th International Workshop on Teaching, Learning and Assessment of Databases

No abstract available.

Editorial: TLAD 2011 (2011)
Conference Proceeding
Leimich, P. (2011). Editorial: TLAD 2011. In Proceedings TLAD 2011. 9th International Workshop on Teaching, Learning and Assessment of Databases

No abstract available.

Editorial: TLAD 2010 (2010)
Conference Proceeding
Leimich, P., & Nelson, D. (2010). Editorial: TLAD 2010. In Proceedings TLAD 2010. 8th International Workshop on Teaching, Learning and Assessment of Databases

No abstract available.