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 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...
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. ...
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...
An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay
Conference Proceeding
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2017)
An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay. In 2016 IEEE Trustcom/BigDataSE/ISPA, (178-184). https://doi.org/10.1109/trustcom.2016.0061
The firewalls were invented since 1990s [1] and have been developed to operate more secure and faster. From the first era of the firewalls until today, they still regulate pac...
A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors
Conference Proceeding
Kumar Mishra, A., Kumar Tripathy, A., Obaidat, M. S., Tan, Z., Prasad, M., Sadoun, B., & Puthal, D. (2018)
A Chain Topology for Efficient Monitoring of Food Grain Storage using Smart Sensors. In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, (89-98). https://doi.org/10.5220/0006850602550264
Due to lack of an efficient monitoring system to periodically record environmental parameters for food grain storage, a huge loss of food grains in storage is reported every y...
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 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 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 ...