A Multi-attributes-based Trust Model of Internet of Vehicle
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...
Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids
Powers, S. T., Meanwell, O., & Cai, Z. (2019)
Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 269-272. https://doi.org/10.1007/978-3-030-24209-1_28
Reducing peak electricity consumption is important to maximise use of renewable energy sources, and reduce the total amount of capacity required on a grid. Most approaches use...
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which ...
A Cooperative Learning Approach for the Quadratic Knapsack Problem
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018)
A Cooperative Learning Approach for the Quadratic Knapsack Problem. In Learning and Intelligent Optimization Conference (LION12), (31-35). https://doi.org/10.1007/978-3-030-05348-2_3
The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has sever...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm
Hart, E., Steyven, A. S. W., & Paechter, B. (2018)
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. In GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, (101-108). https://doi.org/10.1145/3205455.3205481
The presence of functionality diversity within a group has been demonstrated to lead to greater robustness, higher performance and increased problem-solving ability in a broad...
Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases
Clavie, B., & Moradpoor, N. (in press)
Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases. In Proceedings of posters presented at 10th ACM Conference on Web Science
This article explores a perceived bias between two British reddit
communities dedicated to discussing British politics.We analyse the
popular sources favoured by each communit...
A new Zigbee-based device for measuring visual reaction time in sport activities
Ali, B. B., Dugas, É., Naceur, A., & Romdhani, I. (2018)
A new Zigbee-based device for measuring visual reaction time in sport activities. In 2017 International Conference on Engineering & MIS (ICEMIS)https://doi.org/10.1109/icemis.2017.8273005
There is a growing demand for smart tools and devices that measure visual reaction time during sports and physical activities in outdoor environments. However, one of the majo...
An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (2017)
An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack. In 2017 Seventh International Conference on Emerging Security Technologies (EST),https://doi.org/10.1109/est.2017.8090392
Emerging computing relies heavily on secure back-end storage for the massive size of big data originating from the Internet of Things (IoT) smart devices to the Cloud-hosted w...
Power Consuming Activity Recognition in Home Environment
Liu, X., & Liu, Q. (2017)
Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017, (361-372). https://doi.org/10.1007/978-3-319-68505-2_31
This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT syst...