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...
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...
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 ...
Hierarchical Home Agent Architecture for Mobile IP Communications
Conference Proceeding
Romdhani, I., Munoz, J., Bettahar, H., & Bouabdallah, A. (2006)
Hierarchical Home Agent Architecture for Mobile IP Communications. In 11th IEEE Symposium on Computers and Communications, 2006. ISCC '06. Proceedings, 136-141. doi:10.1109/iscc.2006.84
While the Mobile IP protocol does not exclude the use of multiple Home Agents (HAs), it does not impose any particular model either. Recent solutions propose that a mobile nod...
Numerical Encoding to Tame SQL Injection Attacks
Conference Proceeding
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (in press)
Numerical Encoding to Tame SQL Injection Attacks
Recent years have seen an astronomical rise in SQL Injection Attacks (SQLIAs) used to compromise the confidentiality, authentication and integrity of organisations' databases....