Research explorer tool

16 results

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...

Performance Evaluation of a Fragmented Secret Share System

Conference Proceeding
Ukwandu, E., Buchanan, W. J., & Russell, G. (2017)
Performance Evaluation of a Fragmented Secret Share System. In Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2017)https://doi.org/10.1109/cybersa.2017.8073396
There are many risks in moving data into public storage environments, along with an increasing threat around large-scale data leakage. Secret sharing scheme has been proposed ...

Teaching penetration and malware analysis in a cloud-based environment.

Presentation / Conference
Buchanan, W. J., Ramsay, B., Macfarlane, R., Smales, A., & Russell, G. (2015, June)
Teaching penetration and malware analysis in a cloud-based environment. Paper presented at UK Workshop on Cybersecurity Training & Education, Liverpool
This paper outlines evaluation of running a private Cloud-based system over two semesters at Edinburgh Napier University for two modules: Security Testing and Advanced Network...

Multiple traffic signal control using a genetic algorithm

Conference Proceeding
Kalganova, T., Russell, G., & Cumming, A. (1999)
Multiple traffic signal control using a genetic algorithm. In A. Dobnikar, N. C. Steele, D. W. Pearson, & R. F. Albrecht (Eds.), Artificial Neural Nets and Genetic Algorithms, 220-228. https://doi.org/10.1007/978-3-7091-6384-9_38
Optimising traffic signal timings for a multiple-junction road network is a difficult but important problem. The essential difficulty of this problem is that the traffic signa...

Real-time monitoring of privacy abuses and intrusion detection in android system.

Conference Proceeding
Li, S., Chen, J., Spyridopoulos, T., Andriotis, P., Ludwiniak, R., & Russell, G. (2015)
Real-time monitoring of privacy abuses and intrusion detection in android system. In Human Aspects of Information Security, Privacy, and Trust, (379-390). https://doi.org/10.1007/978-3-319-20376-8_34
In this paper, we investigated the definition of privacy, privacy abuse behaviours, and the privacy abuse in Android systems, which may be very useful for identifying the mali...

Architectures for persistence

Journal Article
Russell, G., & Cockshott, W. P. (1993)
Architectures for persistence. Microprocessors and Microsystems, 17(3), 117-130. https://doi.org/10.1016/0141-9331%2893%2990042-6
Persistent object oriented architectures have been researched for many years, deriving initially from the Manchester University Atlas machine. In reality, however, few actual ...

Machine learning and semantic analysis of in-game chat for cyber bullying

Journal Article
Murnion, S., Buchanan, W. J., Smales, A., & Russell, G. (2018)
Machine learning and semantic analysis of in-game chat for cyber bullying. Computers and Security, 76, 197-213. https://doi.org/10.1016/j.cose.2018.02.016
One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report...

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...

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 ...

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...