Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022)
Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8
Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detect...
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation
Conference Proceeding
Bamgboye, O., Liu, X., Cruickshank, P., Liu, Q., & Zhang, Y. (in press)
Tracking Stream Quality Issues in Combined Physical and Radar Sensors for IoT-based Data-driven Actuation.
In this paper, a stream quality tracking for measurements from combined radar and physical sensors is developed. The authors proposed the use of RDF stream processing system a...
A Fast Classification Approach to Upper-Limb Posture Recognition
Conference Proceeding
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (2020)
A Fast Classification Approach to Upper-Limb Posture Recognition. In 2020 International Conferences 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) and IEEE Congress on Cybermatics (Cybermatics). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00118
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies
Conference Proceeding
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020)
TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020). , (1215-1220
The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about...
Near-Data Prediction Based Speculative Optimization in a Distribution Environment
Conference Proceeding
Sun, M., Wu, X., Jin, D., Xu, X., Liu, Q., & Liu, X. (2019)
Near-Data Prediction Based Speculative Optimization in a Distribution Environment
Apache Hadoop is an open source software framework that supports
data-intensive distributed applications and is distributed under the Apache 2.0 licensing agreement,...
Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies
Conference Proceeding
Sun, M., Michael Kamoto, K., Liu, Q., Liu, X., & Qi, L. (2019)
Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies
The Internet of Things (IoT) has already begun to drastically alter the way people operate in various industries across the world, as well as how we interact wit...
Semantic Stream Management Framework for Data Consistency in Smart Spaces
Conference Proceeding
Bamgboye, O., Liu, X., & Cruickshank, P. (2019)
Semantic Stream Management Framework for Data Consistency in Smart Spaces. https://doi.org/10.1109/COMPSAC.2019.10188
Semantic technology can provide a bridge between
smart applications and Internet of Things (IoT) to enable
possible integration and interoperability of data produced by
hetero...
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...
A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Liu, Q. (2020)
A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme. In Security with Intelligent Computing and Big-data Services (701-706). https://doi.org/10.1007/978-3-030-16946-6_57
The air quality in urban areas seriously affects the physical and mental health of human beings. And PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5...
Appliance Recognition Based on Continuous Quadratic Programming
Conference Proceeding
Liu, X., & Liu, Q. (2018)
Appliance Recognition Based on Continuous Quadratic Programming. In Proceedings of 4th International Conference on Cloud Computing and Security (ICCCS 2018), (63-72). https://doi.org/10.1007/978-3-030-00018-9_6
The detailed information of residents' electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical ene...