NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press)
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, https://doi.org/10.1007/s11276-018-01909-0
Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever ...
Cross-modality interactive attention network for multispectral pedestrian detection
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019)
Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015
Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To e...
Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures
Barrowclough, J. P., & Asif, R. (2018)
Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures. Security and Communication Networks, 2018, 1-20. https://doi.org/10.1155/2018/1681908
The exponential rise of the cloud computing paradigm has led to the cybersecurity concerns, taking into account the fact that the resources are shared and mediated by a ‘hyper...
Applying the Software-to-Data Paradigm in Next Generation E-Health Hybrid Clouds
Thuemmler, C., Mueller, J., Covaci, S., Magedanz, T., de Panfilis, S., Jell, T., …Gavras, A. (2013)
Applying the Software-to-Data Paradigm in Next Generation E-Health Hybrid Clouds. In 2013 Tenth International Conference on Information Technology: New Generations (ITNG),, 459-463. https://doi.org/10.1109/itng.2013.77
Health care providers have over years continuously rejected Public Cloud technology for understandable concerns regarding privacy and confidentiality. The pick up rate on clou...
Detection of Denial-of-Service Attacks Based on Computer Vision Techniques
Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., & Hu, J. (2015)
Detection of Denial-of-Service Attacks Based on Computer Vision Techniques. IEEE Transactions on Computers, 64(9), 2519-2533. https://doi.org/10.1109/tc.2014.2375218
Detection of Denial-of-Service (DoS) attacks has attracted researchers since 1990s. A variety of detection systems has been proposed to achieve this task. Unlike the existing ...
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016)
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. IEEE Transactions on Computers, 65(10), 2986-2998. https://doi.org/10.1109/tc.2016.2519914
Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification bu...
Quantum-to-the-Home: Achieving Gbits/s Secure Key Rates via Commercial Off-the-Shelf Telecommunication Equipment
Asif, R., & Buchanan, W. J. (2017)
Quantum-to-the-Home: Achieving Gbits/s Secure Key Rates via Commercial Off-the-Shelf Telecommunication Equipment. Security and Communication Networks, 2017, 1-10. https://doi.org/10.1155/2017/7616847
There is current significant interest in Fiber-to-the-Home (FTTH) networks, i.e. end-to-end optical connectivity. Currently, it may be limited due to the presence of last-mile...
Seamless Cryptographic Key Generation via Off-the-Shelf Telecommunication Components for End-to-End Data Encryption
Asif, R., & Buchanan, W. J. (2017)
Seamless Cryptographic Key Generation via Off-the-Shelf Telecommunication Components for End-to-End Data Encryption. In International Conference on Internet of Things (iThings-2017)https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.140
Quantum key distribution (QKD) systems have already attained much attention for providing end-to-end data encryption to the subscribers. However, it is very important that the...
Spatial anomaly detection in sensor networks using neighborhood information
Bosman, H. H., Iacca, G., Tejada, A., Wörtche, H. J., & Liotta, A. (2017)
Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion, 33, 41-56. https://doi.org/10.1016/j.inffus.2016.04.007
The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological ad...
A topological insight into restricted Boltzmann machines
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...