All Outputs (8)

Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System (2023)
Presentation / Conference Contribution
Laing, S., Ludwiniak, R., El Boudani, . B., Chrysoulas, C., Ubakanma, G., & Pitropakis, N. (2023, April). Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System. Presented at 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN), Barcelona, Spain

The usage of cloud systems is at an all-time high, and with more organizations reaching for Big Data the forensic implications must be analyzed. The Hadoop Distributed File System is widely used both as a cloud service and with organizations implemen... Read More about Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System.

Towards An SDN Assisted IDS (2021)
Presentation / Conference Contribution
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021, April). Towards An SDN Assisted IDS. Presented at IFIP NTMS Workshop on CyberSecurity on Hardware 2021, Paris, France

Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructures use static detection mechanisms that check and monitor specific types o... Read More about Towards An SDN Assisted IDS.

Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter (2020)
Journal Article
Pitropakis, N., Kokot, K., Gkatzia, D., Ludwiniak, R., Mylonas, A., & Kandias, M. (2020). Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter. Machine Learning and Knowledge Extraction, 2(3), 192-215. https://doi.org/10.3390/make2030011

The proliferation of social media platforms changed the way people interact online. However, engagement with social media comes with a price, the users’ privacy. Breaches of users’ privacy, such as the Cambridge Analytica scandal, can reveal how the... Read More about Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter.

Real-time monitoring of privacy abuses and intrusion detection in android system (2015)
Presentation / Conference Contribution
Li, S., Chen, J., Spyridopoulos, T., Andriotis, P., Ludwiniak, R., & Russell, G. (2015, August). Real-time monitoring of privacy abuses and intrusion detection in android system. Presented at International Conference on Human Aspects of Information Security, Privacy, and Trust, Los Angeles, CA, USA

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 malicious apps from 'normal' apps. We also investigated the injection technolog... Read More about Real-time monitoring of privacy abuses and intrusion detection in android system.

A forensic image description language for generating test images. (2012)
Presentation / Conference Contribution
Russell, G., Macfarlane, R., & Ludwiniak, R. (2012, September). A forensic image description language for generating test images

Digital Forensics is a fast developing job market, as well as being topical and interesting, and as such is an area in which University students are keen to develop and study. At Edinburgh Napier University this topic has been taught with flexible an... Read More about A forensic image description language for generating test images..

Performance and student perception evaluation of cloud-based virtualised security and digital forensics labs. (2011)
Journal Article
Buchanan, W. J., Graves, J., Bose, N., Macfarlane, R., Davison, B., & Ludwiniak, R. (2011). Performance and student perception evaluation of cloud-based virtualised security and digital forensics labs. HEA ICS Conference,

This paper focuses on the integration of virtualised environments within the teaching of computer security and digital forensics, and includes three case studies. The first case study involves assessing student perception on the usage of VMware Works... Read More about Performance and student perception evaluation of cloud-based virtualised security and digital forensics labs..

Cloud-based digital forensics evaluation test (D-FET) platform. (2011)
Presentation / Conference Contribution
Buchanan, W. J., Macfarlane, R., Flandrin, F., Graves, J., Fan, L., Ekonomou, E., Bose, N., & Ludwiniak, R. (2011, June). Cloud-based digital forensics evaluation test (D-FET) platform. Paper presented at Cyberforensics 2011

This paper outlines the specification of the Cloud-based DFET platform which is used to evaluate the performance of digital forensics tools, which aim to detect the presence of trails of evidence, such as for the presence of illicit images and determ... Read More about Cloud-based digital forensics evaluation test (D-FET) platform..

Student perception of on-line lectures with a blended learning environment. (2010)
Presentation / Conference Contribution
Buchanan, W. J., Macfarlane, R., & Ludwiniak, R. (2010, September). Student perception of on-line lectures with a blended learning environment. Presented at The 4th International Conference on Cybercrime Forensics Education & Training

Educational institutions are increasingly moving towards enhancing learning through the use of integrated information technology. Blended, or augmented, learning, aims to support the traditional learning environment – where the instructor blends onli... Read More about Student perception of on-line lectures with a blended learning environment..