Sticky policy enabled authenticated OOXML (2016)
Presentation / Conference Contribution
Spyra, G., Buchanan, W. J., & Ekonomou, E. (2016, July). Sticky policy enabled authenticated OOXML. Presented at IEEE Technically Sponsored SAI Computing Conference 2016, London, UK

This paper proposes a secure document sharing construction, which addresses confidentiality and authenticity concerns related to cloud-based data sharing. The goal of this research is to find an efficient way to share data in the cloud across various... Read More about Sticky policy enabled authenticated OOXML.

Web engineering for the evaluation of large complex web systems: methodologies in web metrics (2016)
Thesis
Zahran, D. I. Web engineering for the evaluation of large complex web systems: methodologies in web metrics. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/978652

Roaming the Internet, users sometimes encounter severe problems or feel dissatisfied using a particular site. E-government websites are the public gateways to access information and services but there is still no agreement on how to assess a governme... Read More about Web engineering for the evaluation of large complex web systems: methodologies in web metrics.

Pricing Ontology for Task-Oriented Cloud Sourcing (2016)
Presentation / Conference Contribution
Greenwell, R., Liu, X., & Chalmers, K. (2016, August). Pricing Ontology for Task-Oriented Cloud Sourcing. Presented at 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)

Cloud computing allows access to computing resources from a number of providers, who offer multiple pricing strategies for selected product characteristics. The service offerings are becoming increasingly complex, with innovations such as spot market... Read More about Pricing Ontology for Task-Oriented Cloud Sourcing.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2016)
Presentation / Conference Contribution
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2016, July). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. Presented at The 2nd International Conference on Cloud Computing and Security, Nanjing, China

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become h... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

A Method for Electric Load Data Verfication and Repair in home Environment (2016)
Presentation / Conference Contribution
Liu, Q., Li, S., Liu, X., & Linge, N. (2016, July). A Method for Electric Load Data Verfication and Repair in home Environment. Presented at the 2nd International Conference on Cloud Computing and Security, Nanjing, China

Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load data records the electric consumption and plays an important role in operati... Read More about A Method for Electric Load Data Verfication and Repair in home Environment.

CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network (2016)
Presentation / Conference Contribution
Liu, Q., Chen, X., Liu, X., & Linge, N. (2016, July). CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network. Presented at the 2nd International Conference on Cloud Computing and Security, Nanjing, China

Underwater acoustic sensor networks (UANs) have emerged as a promising technology which can be applied in many areas such as military and civil in recent years. Among these applications, the communication between the devices is crucial for providing... Read More about CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network.

An adaptive approach to better load balancing in a consumer-centric cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Liu, X., & Linge, N. (2016). An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62(3), 243-250. https://doi.org/10.1109/tce.2016.7613190

Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly popular since a large number of cloud services are gradually opening up to consumers. It gives consumers a great convenience, where users no longer need to buy the... Read More about An adaptive approach to better load balancing in a consumer-centric cloud environment.

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm (2016)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2016, October). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. Presented at PPSN 2016 14th International Conference on Parallel Problem Solving from Nature

It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear exactly how parameterisation of a given environment might influence the emer... Read More about Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm.

Analysing the performance of migrating birds optimisation approaches for large scale continuous problems (2016)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., Voss, S., Hart, E., & Paechter, B. (2016, September). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems. Presented at 14th International Conference on Parallel Problem Solving from Nature (PPSN 2016)

We present novel algorithmic schemes for dealing with large scale continuous problems. They are based on the recently proposed population-based meta-heuristics Migrating Birds Optimisation (mbo) and Multi-leader Migrating Birds Optimisation (mmbo), t... Read More about Analysing the performance of migrating birds optimisation approaches for large scale continuous problems.

Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment (2016)
Journal Article
Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment. Sensors, 16(9), 1386. https://doi.org/10.3390/s16091386

Distributed Computing has achieved tremendous development since cloud computing was proposed in 2006, and played a vital role promoting rapid growth of data collecting and analysis models, e.g., Internet of things, Cyber-Physical Systems, Big Data An... Read More about Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment.

TD-ERCS map-based confusion and diffusion of autocorrelated data (2016)
Journal Article
Khan, J. S., Ahmad, J., & Khan, M. A. (2017). TD-ERCS map-based confusion and diffusion of autocorrelated data. Nonlinear Dynamics, 87(1), 93-107. https://doi.org/10.1007/s11071-016-3028-2

In this article, we proposed a new scheme to encrypt highly autocorrelated image pixel data. In existing literature, single substitution was used to break autocorrelation in images. To get better results, instead of single substitution box, some rese... Read More about TD-ERCS map-based confusion and diffusion of autocorrelated data.

Cloud Security, Privacy, and Trust Baselines (2016)
Book Chapter
Pitropakis, N., Katsikas, S., & Lambrinoudakis, C. (2016). Cloud Security, Privacy, and Trust Baselines. In Cloud Computing Security Foundations and Challenges. CRC Press

According to ISO 27001, a threat is a potential event. When a threat turns into an actual event, it may cause an undesirable incident. It is undesirable because the incident may harm an organization or a system, causing a security incident and/or t... Read More about Cloud Security, Privacy, and Trust Baselines.

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment. Security and Communication Networks, 9(17), 4002-4012. https://doi.org/10.1002/sec.1582

A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large-scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clus... Read More about A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment.

Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching (2016)
Journal Article
Tran, H.-N., Cambria, E., & Hussain, A. (2016). Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cognitive Computation, 8(6), 1074-1086. https://doi.org/10.1007/s12559-016-9418-4

Background/Introduction
Common-sense reasoning is concerned with simulating cognitive human ability to make presumptions about the type and essence of ordinary situations encountered every day. The most popular way to represent common-sense knowledg... Read More about Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching.

Natural Language Generation enhances human decision-making with uncertain information. (2016)
Presentation / Conference Contribution
Gkatzia, D., Lemon, O., & Rieser, V. (2016, August). Natural Language Generation enhances human decision-making with uncertain information. Presented at 54th Annual Meeting of the Association for Computational Linguistics (ACL) Volume 2 (short papers)

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on hu... Read More about Natural Language Generation enhances human decision-making with uncertain information..

The Far Side of Mobile Application Integrated Development Environments (2016)
Presentation / Conference Contribution
Lyvas, C., Pitropakis, N., & Lambrinoudakis, C. (2016, September). The Far Side of Mobile Application Integrated Development Environments. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2016: Trust, Privacy and Security in Digital Business, Porto, Portugal

Smart phones are, nowadays, a necessity for the vast majority of individuals around the globe. In addition to the ubiquitous computing paradigm supported by such devices, there are numerous software applications that utilize the high computational ca... Read More about The Far Side of Mobile Application Integrated Development Environments.

If two countries waged cyber war on each another, here’s what to expect (2016)
Newspaper / Magazine
Buchanan, B. (2016). If two countries waged cyber war on each another, here’s what to expect. https://theconversation.com/if-two-countries-waged-cyber-war-on-each-another-heres-what-to-expect-63544

Imagine you woke up to discover a massive cyber attack on your country. All government data has been destroyed, taking out healthcare records, birth certificates, social care records and so much more. The transport system isn’t working, traffic light... Read More about If two countries waged cyber war on each another, here’s what to expect.

Appropriating interaction (2016)
Thesis
Flint, T. E. Appropriating interaction. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/453421

This thesis is concerned with the fact that people routinely appropriate interactive technology. Much of the work in this project was conducted at The Public, an interactive art gallery in West Bromwich. Examples of appropriation that are presented r... Read More about Appropriating interaction.

DEEPC: Dynamic Energy Profiling of Components (2016)
Presentation / Conference Contribution
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016, June). DEEPC: Dynamic Energy Profiling of Components. Presented at 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)

Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in CBSD, components are evaluated on the criteria of required quality attribute... Read More about DEEPC: Dynamic Energy Profiling of Components.

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings (2016)
Journal Article
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., Jarosz, W., & Novák, J. (2016). Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954

We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empiric... Read More about Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.