Privacy Parameter Variation using RAPPOR on a Malware Dataset
Conference Proceeding
Aaby, P., Mata De Acuña, J. J., Macfarlane, R., & Buchanan, W. J. (2018)
Privacy Parameter Variation using RAPPOR on a Malware Dataset. In Proceedings of 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), (8). https://doi.org/10.1109/TrustCom/BigDataSE.2018.00133
Stricter data protection regulations and the poor application of privacy protection techniques have resulted in a requirement for data-driven companies to adopt new methods of...
Towards a framework for the generation of enhanced attack/background network traffic for evaluation of network-based intrusion detection systems
Conference Proceeding
Lo, O. C. W., Graves, J. R., & Buchanan, W. J. (2010)
Towards a framework for the generation of enhanced attack/background network traffic for evaluation of network-based intrusion detection systems. In J. Demergis (Ed.), Proceedings of 9th European Conference on Information Warfare and Security. , (190-200
There are a multitude of threats faced in computer networks such as viruses, worms, trojans, attempted user privilege gain, data theft and denial of service attacks. To combat...
Future Quantum-to-the-Home (QTTH) All-Optical Networks (Invited Talk)
Conference Proceeding
Asif, R. (2019)
Future Quantum-to-the-Home (QTTH) All-Optical Networks (Invited Talk). In Advanced Infocomm Technologyhttps://doi.org/10.1109/ICAIT.2018.8686543
For imparting data security to the end-users in a archetypal fiber-to-the-home (FTTH) network, quantum cryptography (QC) is getting much attention now-a-days. QC or more speci...
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...
Insider threat detection using principal component analysis and self-organising map
Conference Proceeding
Moradpoor, N., Brown, M., & Russell, G. (2017)
Insider threat detection using principal component analysis and self-organising map. In 10th International Conference on Security of Information and Networks (SIN 2017)https://doi.org/10.1145/3136825.3136859
An insider threat can take on many aspects. Some employees abuse their positions of trust by disrupting normal operations, while others export valuable or confidential data wh...
A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval.
Conference Proceeding
Fang, D., Liu, X., & Romdhani, I. (2015)
A Loosely-coupled Semantic Model for Efficient Cloud Service Search and Retrieval. In W. Zimmerman, Y. W. Lee, & C. Reich (Eds.), Cloud Computing 2014: the Fifth International Conference on Cloud Computing, Grids and Virtualization, 6-11
As cloud services propagate along with the rapid development of cloud computing, issues raised in service selection and retrieval processes become increasingly critical. While...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...
Coopetitive architecture to support a dynamic and scalable NFC based mobile services architecture.
Conference Proceeding
Akram, R. N., Markantonakis, K., & Mayes, K. (2012)
Coopetitive architecture to support a dynamic and scalable NFC based mobile services architecture. In K. P. Chow, & L. Hui (Eds.), Information and Communications Security: 14th International Conference, ICICS 2012, Proceedings, 214-227. https://doi.org/10.1007/978-3-642-34129-8_19
Near Field Communication (NFC) has reinvigorated the multi-application smart card initiative. The NFC trials are relying on an extension of Issuer Centric Smart Card Model (IC...
Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning
Conference Proceeding
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2014)
Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications,, (174-181). https://doi.org/10.1109/trustcom.2014.26
The goal of email classification is to classify user emails into spam and legitimate ones. Many supervised learning algorithms have been invented in this domain to accomplish ...
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 ...