A Novel Feature Selection Approach for Intrusion Detection Data Classification
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...
Towards Continuous User Authentication Using Personalised Touch-Based Behaviour
Aaby, P., Giuffrida, M. V., Buchanan, W. J., & Tan, Z. (2020)
Towards Continuous User Authentication Using Personalised Touch-Based Behaviour. In 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00023
In this paper, we present an empirical evaluation of 30 features used in touch-based continuous authentication. It is essential to identify the most significant features for e...
A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking
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...
Multi-miner's Cooperative Evolution Method of Bitcoin Pool Based on Temporal Difference Leaning Method
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
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
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  and have been developed to operate more secure and faster. From the first era of the firewalls until today, they still regulate pac...
A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network
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
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...
Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection
Tan, Z., Jamdagni, A., He, X., Nanda, P., & Liu, R. P. (2012)
Triangle-Area-Based Multivariate Correlation Analysis for Effective Denial-of-Service Attack Detection. https://doi.org/10.1109/trustcom.2012.284
Cloud computing plays an important role in current converged networks. It brings convenience of accessing services and information to users regardless of location and time. Ho...
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis
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...