Mixing and re-purposing realities. (2018)
Presentation / Conference Contribution
Flint, T., Hall, L., & Stewart, F. (2018, July). Mixing and re-purposing realities. Presented at Proceedings of the 32nd International BCS Human Computer Interaction Conference, Belfast, UK

This paper discusses a mixed reality that intertwines two parallel spaces, a real and a virtual contemporary sculpture park. With the goal to create a game that motivated children to explore the park and engage with the artworks, we engaged with chil... Read More about Mixing and re-purposing realities..

A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment (2018)
Journal Article
Babar, M., Khan, F., Iqbal, W., Yahya, A., Arif, F., Tan, Z., & Chuma, J. (2018). A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment. IEEE Access, 6, 43088-43099

Smart societies have an increasing demand for quality-oriented services and infrastructure in an Industrial Internet of Things (IIoT) paradigm. Smart urbanization faces numerous challenges. Among them, secured energy Demand Side Management (DSM) is o... Read More about A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment.

An Enhanced Cyber Attack Attribution Framework (2018)
Presentation / Conference Contribution
Pitropakis, N., Panaousis, E., Giannakoulias, A., Kalpakis, G., Rodriguez, R. D., & Sarigiannidis, P. (2018, September). An Enhanced Cyber Attack Attribution Framework. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2018, Regensburg, Germany

Advanced Persistent Threats (APTs) are considered as the threats that are the most challenging to detect and defend against. As APTs use sophisticated attack methods, cyber situational awareness and especially cyber attack attribution are necessary f... Read More about An Enhanced Cyber Attack Attribution Framework.

Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism (2018)
Presentation / Conference Contribution
Perret, C., Powers, S. T., Pitt, J., & Hart, E. (2018, July). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. Presented at The 2018 Conference on Artificial Life, Tokyo, Japan

Hierarchy is an efficient way for a group to organize, but often goes along with inequality that benefits leaders. To control despotic behaviour, followers can assess leaders' decisions by aggregating their own and their neighbours' experience, and i... Read More about Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism.

Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches (2018)
Presentation / Conference Contribution
Lewis, P. R., Powers, S. T., & Ekárt, A. (2018, July). Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. Presented at The 2018 Conference on Artificial Life, Tokyo, Japan

No abstract available.

A new rich vehicle routing problem model and benchmark resource (2018)
Presentation / Conference Contribution
Sim, K., Hart, E., Urquhart, N. B., & Pigden, T. (2015, September). A new rich vehicle routing problem model and benchmark resource. Presented at International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems, EUROGEN-2015, University of Strathclyde, Glasgow

We describe a new rich VRP model that captures many real-world constraints, following a recently proposed taxonomy that addresses both scenario and problem physical characteristics. The model is used to generate 4800 new instances of rich VRPs which... Read More about A new rich vehicle routing problem model and benchmark resource.

A novel similarity-based mutant vector generation strategy for differential evolution (2018)
Presentation / Conference Contribution
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018, July). A novel similarity-based mutant vector generation strategy for differential evolution. Presented at The Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), Kyoto, Japan

The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the search space. However, it is also responsible for promoting intensificatio... Read More about A novel similarity-based mutant vector generation strategy for differential evolution.

Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm (2018)
Presentation / Conference Contribution
Hart, E., Steyven, A. S. W., & Paechter, B. (2018, July). Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. Presented at GECCO 2018, Kyoto, Japan

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 range of studies that includes insect groups, human groups and swarm robot... Read More about Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm.

Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network (2018)
Presentation / Conference Contribution
Asif, R., Haithem, M., & Buchanan, W. J. (2018, July). Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network. Presented at Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)

We report a high capacity Quantum-to-the-Home (QTTH) network in a spatialdivision-multiplexing (SDM) network utilizing 7-core multicore fiber (MCF). Aggregate secure key rates of 33.6 Mbit/s over 9.8 km of fiber are the actual state-of-the-art.

Performance Investigation of RPL Routing in Pipeline Monitoring WSNs (2018)
Presentation / Conference Contribution
Wadhaj, I., Gharebi, W., Al-Dubai, A., & Thomson, C. (2018, June). Performance Investigation of RPL Routing in Pipeline Monitoring WSNs. Presented at 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Exeter, United Kingdom

The adoption of WSN and IEEE 802.15.4 standard for the linear WSN networks were assumed. The interconnection of WSNs with the Internet is possible by assigning IPv6 addresses to low- power devices. The 6LoWPAN adaption layer enables the IPv6 addresse... Read More about Performance Investigation of RPL Routing in Pipeline Monitoring WSNs.

Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining (2018)
Thesis
Knuth, T. Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1256175

A remarkable gap exists between the financial impact of fraud in the B2C e-commerce mail order business and the amount of research conducted in this area — whether it be qualitative or quantitative research about fraud prevention. Projecting publishe... Read More about Fraud prevention in the B2C e-Commerce mail order business: a framework for an economic perspective on data mining.

Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches (2018)
Journal Article
Powers, S. T., Ekárt, A., & Lewis, P. R. (2018). Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches. Cognitive Systems Research, 52, 67-81. https://doi.org/10.1016/j.cogsys.2018.04.012

Empirical work has shown that societies can sometimes avoid antisocial outcomes , such as the Tragedy of the Commons, by establishing institutional rules that govern their interactions. Moreover, groups are more likely to avoid antisocial outcomes wh... Read More about Modelling enduring institutions: The complementarity of evolutionary and agent-based approaches.

Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks (2018)
Presentation / Conference Contribution
Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June). Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter

In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional unequal clustering approaches where small clusters located close to the base st... Read More about Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks.

An approach to the semantic intelligence cloud (2018)
Thesis
Greenwell, R. An approach to the semantic intelligence cloud. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1255157

Cloud computing is a disruptive technology that aims to provide a utility approach to computing, where users can obtain their required computing resources without investment in infrastructure, computing platforms or services. Cloud computing resource... Read More about An approach to the semantic intelligence cloud.

Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. (2018)
Presentation / Conference Contribution
Bamgboye, O., Liu, X., & Cruickshank, P. (2018, July). Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces. Presented at 12th IEEE Interna@onal Workshop on QUALITY ORIENTED REUSE OF SOFTWARE" (QUORS 2018)/ 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan

Smart Spaces currently benefits from Internet of Things (IoT) infrastructures in order to realise its objectives. In many cases, it demonstrates this through certain automated applications that relies on sensor streams that comes with some uncertaint... Read More about Towards Modelling and Reasoning about Uncertain Data of Sensor Measurements for Decision Support in Smart Spaces..

Towards reducing complexity of multi-agent simulations by applying model-driven techniques (2018)
Presentation / Conference Contribution
Hoffman, B., Chalmers, K., Urquhart, N., Farrenkopf, T., & Guckert, M. (2018, June). Towards reducing complexity of multi-agent simulations by applying model-driven techniques. Presented at International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2018, Toledo, Spain

Creating multi-agent simulations is a challenging task often requiring programming skills at the professional software developer level. Model driven methods of software development are an appropriate tool for reducing the complexity of the developmen... Read More about Towards reducing complexity of multi-agent simulations by applying model-driven techniques.

Enhancing Robotic Swarms With Fractal Behaviours to Explore Unknown Enclosed Areas (2018)
Presentation / Conference Contribution
Eissa, H., Melis, W. J. C., Keates, S., & Doncheva, R. (2018, June). Enhancing Robotic Swarms With Fractal Behaviours to Explore Unknown Enclosed Areas. Paper presented at 3rd Medway Engineering Conference: Systems: Efficiency, Sustainability and Modelling, University of Greenwich, United Kingdom

Swarm robotics coordinates multiple interacting robots for which it takes inspiration from nature. It has been used in different engineering applications, such as: food searching, path planning, and communication between robots. Additionally, when ro... Read More about Enhancing Robotic Swarms With Fractal Behaviours to Explore Unknown Enclosed Areas.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds (2018)
Journal Article
Yaseen, M. U., Anjum, A., Rana, O., & Antonopoulos, N. (2019). Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(1), 253-264. https://doi.org/10.1109/TSMC.2018.2840341

A system to perform video analytics is proposed using a dynamically tuned convolutional network. Videos are fetched from cloud storage, preprocessed, and a model for supporting classification is developed on these video streams using cloud-based infr... Read More about Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds.

Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures (2018)
Journal Article
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 ‘hypervisor’ that may be attacked and user data can be compromised or hacked. In... Read More about Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures.