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...
A 3D Smooth Random Walk Mobility Model for FANETs
Conference Proceeding
Lin, N., Gao, F., Zhao, L., Al-Dubai, A., & Tan, Z. (2019)
A 3D Smooth Random Walk Mobility Model for FANETs. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00075
The number of Unmanned Aerial Vehicles (UAVs) applications has increased over the past few years. Among all scenarios, UAV group consisting multi-UAVs is normally used to prov...
Reviving legacy enterprise systems with microservice-based architecture within cloud environments
Conference Proceeding
Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019)
Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In Computer Science Conference Proceedingshttps://doi.org/10.5121/csit.2019.90713
Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most eff...
Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...
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...
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis
Conference Proceeding
Li, Q., Tan, Z., Jamdagni, A., Nanda, P., He, X., & Han, W. (2017)
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis. In 2017 IEEE Trustcom/BigDataSE/ISPA Conference Proceedingshttps://doi.org/10.1109/trustcom/bigdatase/icess.2017.340
This paper proposes an anomaly-based Intrusion Detection System (IDS), which flags anomalous network traffic with a distance-based classifier. A polynomial approach was design...
Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization
Conference Proceeding
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2011)
Multivariate Correlation Analysis Technique Based on Euclidean Distance Map for Network Traffic Characterization. In S. Qing, W. Susilo, G. Wang, & D. Liu (Eds.), Information and Communications Security. , (388-398). https://doi.org/10.1007/978-3-642-25243-3_31
The quality of feature has significant impact on the performance of detection techniques used for Denial-of-Service (DoS) attack. The features that fail to provide accurate ch...
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme
Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2019)
Nowhere Metamorphic Malware Can Hide - A Biological Evolution Inspired Detection Scheme. In Dependability in Sensor, Cloud, and Big Data Systems and Applications. , (369-382). https://doi.org/10.1007/978-981-15-1304-6_29
The ability to detect metamorphic malware has generated significant research interest over recent years, particularly given its proliferation on mobile devices. Such malware i...