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...
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...
Mobility Aware Duty Cycling Algorithm (MADCAL) in Wireless Sensor Network with Mobile Sink Node
Conference Proceeding
Thomson, C., Wadhaj, I., Tan, Z., & Al-Dubai, A. (2019)
Mobility Aware Duty Cycling Algorithm (MADCAL) in Wireless Sensor Network with Mobile Sink Node. In 2019 IEEE International Conference on Smart Internet of Things (SmartIoT). https://doi.org/10.1109/SmartIoT.2019.00037
In Wireless Sensor Networks (WSNs) the use of Mobile Sink Nodes (MSNs) has been proposed in order to negate the ”hotspot” issue. This where nodes closest to the sink node shal...
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...
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...
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites
Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2020)
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. In Applications of Evolutionary Computation. EvoApplications 2020. , (117-132). https://doi.org/10.1007/978-3-030-43722-0_8
In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model r...
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,...
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method
Conference Proceeding
Ou, W., Deng, M., Luo, E., Shi, W., Tan, Z., & Bhuiyan, M. (2019)
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method. In 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). , (687-693). https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00131
Proof of Work (PoW) is used to provide a consensus mechanism for Bitcoin. In this mechanism, the process of generating a new block in the blockchain is referred to as mining. ...