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Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples

Conference Proceeding
Babaagba, K., Tan, Z., & Hart, E. (2020)
Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples. https://doi.org/10.1109/CEC48606.2020.9185668
Detecting metamorphic malware provides a challenge to machine-learning models as trained models might not generalise to future mutant variants of the malware. To address this,...

Evaluation on multivariate correlation analysis based denial-of-service attack detection system

Conference Proceeding
Tan, Z., Jamdagni, A., Nanda, P., He, X., & Liu, R. P. (2012)
Evaluation on multivariate correlation analysis based denial-of-service attack detection system. In SecurIT '12 Proceedings of the First International Conference on Security of Internet of Things, 160-164. https://doi.org/10.1145/2490428.2490450
In this paper, a Denial-of-Service (DoS) attack detection system is explored, where a multivariate correlation analysis technique based on Euclidean distance is applied for ne...

A Multi-attributes-based Trust Model of Internet of Vehicle

Conference Proceeding
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019)
A Multi-attributes-based Trust Model of Internet of Vehicle. In Network and System Security. , (706-713). https://doi.org/10.1007/978-3-030-36938-5_45
Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establis...

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 ...

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network

Conference Proceeding
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020)
A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)https://doi.org/10.1109/WF-IoT48130.2020.9221036
The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as ...

A framework for data security in cloud using collaborative intrusion detection scheme

Conference Proceeding
Nagar, U., Nanda, P., He, X., & Tan, Z. (. (2017)
A framework for data security in cloud using collaborative intrusion detection scheme. In Proceedings of 10th International Conference On Security Of Information And Networks. , (188-193). https://doi.org/10.1145/3136825.3136905
Cloud computing offers an on demand, elastic, global network access to a shared pool of resources that can be configured on user demand. It offers a unique pay-as-you go featu...

A Stateful Mechanism for the Tree-Rule Firewall

Conference Proceeding
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2014)
A Stateful Mechanism for the Tree-Rule Firewall. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, (122-129). https://doi.org/10.1109/trustcom.2014.20
In this paper, we propose a novel connection tracking mechanism for Tree-rule firewall which essentially organizes firewall rules in a designated Tree structure. A new firewal...

A Novel Feature Selection Approach for Intrusion Detection Data Classification

Conference Proceeding
Ambusaidi, M. A., He, X., Tan, Z., Nanda, P., Lu, L. F., & Nagar, U. T. (2014)
A Novel Feature Selection Approach for Intrusion Detection Data Classification. https://doi.org/10.1109/trustcom.2014.15
Intrusion Detection Systems (IDSs) play a significant role in monitoring and analyzing daily activities occurring in computer systems to detect occurrences of security threats...

A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking

Conference Proceeding
Zhao, L., Liu, Y., Al-Dubai, A., Tan, Z., Min, G., & Xu, L. (2019)
A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking. https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00082
With the rapid development of mobile applications, networking technologies have been constantly evolved to offer a more convenient way of sharing information and online-commun...

A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment

Conference Proceeding
Jan, M. A., Nanda, P., He, X., Tan, Z., & Liu, R. P. (2014)
A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment. In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, (205-211). https://doi.org/10.1109/trustcom.2014.31
The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovat...