PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2019)
PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066
Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier ...
PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme
Journal Article
Khan, R., Zakarya, M., Tan, Z., Usman, M., Jan, M. A., & Khan, M. (2019)
PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme. International Journal of Communication Systems, 32(18), https://doi.org/10.1002/dac.4144
Heterogeneous wireless sensor networks (WSNs) consist of resource-starving nodes that face a challenging task of handling various issues such as data redundancy, data fusion, ...
Hybrid Tree-rule Firewall for High Speed Data Transmission
Journal Article
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2016)
Hybrid Tree-rule Firewall for High Speed Data Transmission. IEEE transactions on cloud computing, 1-1. https://doi.org/10.1109/tcc.2016.2554548
Traditional firewalls employ listed rules in both configuration and process phases to regulate network traffic. However, configuring a firewall with listed rules may create ru...
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...
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 ...