PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing (2019)
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2020). PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066

Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier detection is to construct a neighbour-list for each object. It is used for... Read More about PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing.

A Multi-attributes-based Trust Model of Internet of Vehicle (2019)
Presentation / Conference Contribution
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019, December). A Multi-attributes-based Trust Model of Internet of Vehicle. Presented at 13th International Conference on Network and System Security, Sapporo, Japan

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 establish a trustworthy mechanism. Through transmission and dissemination of trust,... Read More about A Multi-attributes-based Trust Model of Internet of Vehicle.

Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication (2019)
Journal Article
Hawbani, A., Torbosh, E., Wang, X., Sincak, P., Zhao, L., & Al-Dubai, A. (2021). Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication. IEEE Transactions on Fuzzy Systems, 29(3), 612-626. https://doi.org/10.1109/tfuzz.2019.2957254

This paper modeled the multihop data-routing in Vehicular Ad-hoc Networks(VANET) as Multiple Criteria Decision Making (MCDM) in four steps. First, the criteria which have an impact on the performance of the network layer are captured and transformed... Read More about Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication.

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs (2019)
Journal Article
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020). Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228

Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scalability, frequent topology changes, scarcity of spectrum resources, maintain... Read More about Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs.

Reliable and energy efficient mechanisms for wireless sensor networks (2019)
Thesis
Ali, A. O. E. S. Reliable and energy efficient mechanisms for wireless sensor networks. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2404287

Sensor nodes and their underlying communication technologies are characterised by restricted power resources, restricted processing, limited storage capacities, low data rates and lossy links, and they may also comprise up to a thousand nodes. Wirele... Read More about Reliable and energy efficient mechanisms for wireless sensor networks.

Investigations into Decrypting Live Secure Traffic in Virtual Environments (2019)
Thesis
McLaren, P. W. L. Investigations into Decrypting Live Secure Traffic in Virtual Environments. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386517

Malicious agents increasingly use encrypted tunnels to communicate with external servers. Communications may contain ransomware keys, stolen banking details, or other confidential information. Rapid discovery of communicated contents through decrypti... Read More about Investigations into Decrypting Live Secure Traffic in Virtual Environments.

Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum (2019)
Thesis
McGowan, J. J. Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386291

This thesis looks at the requirements analysis, design, development and evaluation of an application, CymaSense, as a means of improving the communicative behaviours of autistic participants through therapeutic music sessions, via the addition of a v... Read More about Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum.

Utilising Reduced File Representations to Facilitate Fast Contraband Detection (2019)
Thesis
McKeown, S. Utilising Reduced File Representations to Facilitate Fast Contraband Detection. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386199

Digital forensics practitioners can be tasked with analysing digital data, in all its forms, for legal proceedings. In law enforcement, this largely involves searching for contraband media, such as illegal images and videos, on a wide array of electr... Read More about Utilising Reduced File Representations to Facilitate Fast Contraband Detection.

The evaluation of data filtering criteria in wind turbine power performance assessment (2019)
Thesis
Davison, B. The evaluation of data filtering criteria in wind turbine power performance assessment. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2376943

The post-installation verification of wind turbine performance is an essential part of a wind energy project. Data collected from meteorological instruments and from the turbine is analysed to produce an estimate of the annual energy production (AEP)... Read More about The evaluation of data filtering criteria in wind turbine power performance assessment.

Visualisation Support for Biological Bayesian Network Inference (2019)
Thesis
Vogogias, T. Visualisation Support for Biological Bayesian Network Inference. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2158180

Extracting valuable information from the visualisation of biological data and turning it into a network model is the main challenge addressed in this thesis. Biological networks are mathematical models that describe biological entities as nodes and t... Read More about Visualisation Support for Biological Bayesian Network Inference.

PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme (2019)
Journal Article
Khan, R., Zakarya, M., Tan, Z., Usman, M., Jan, M. A., & Khan, M. (2019). PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme. International Journal of Communication Systems, 32(18), Article e4144. https://doi.org/10.1002/dac.4144

Heterogeneous wireless sensor networks (WSNs) consist of resource-starving nodes that face a challenging task of handling various issues such as data redundancy, data fusion, congestion control, and energy efficiency. In these networks, data fusion a... Read More about PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme.

A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks (2019)
Journal Article
Khan, F., Ur Rehman, A., Yahya, A., Jan, M. A., Chuma, J., Tan, Z., & Hussain, K. (2019). A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks. Sensors, 19, Article 4321. https://doi.org/10.3390/s19194321

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to thei... Read More about A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks.

A Lightweight and Efficient Digital Image Encryption Using Hybrid Chaotic Systems for Wireless Network Applications (2019)
Journal Article
Almalkawi, I. T., Halloush, R., Alsarhan, A., Al-Dubai, A., & Al-karaki, J. N. (2019). A Lightweight and Efficient Digital Image Encryption Using Hybrid Chaotic Systems for Wireless Network Applications. Journal of Information Security and Applications, 49, https://doi.org/10.1016/j.jisa.2019.102384

Due to limited processing capabilities and other constraints of most wireless networks, many existing security algorithms do not consider the network efficiency. This is because most of these security solutions exhibit intolerable overhead and consid... Read More about A Lightweight and Efficient Digital Image Encryption Using Hybrid Chaotic Systems for Wireless Network Applications.

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments (2019)
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019). An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845

Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, in turn, improve human well-being in urban environments. This is a scientifi... Read More about An AI approach to Collecting and Analyzing Human Interactions with Urban Environments.

Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing (2019)
Journal Article
Liu, Q., Wang, Z., Liu, X., & Linge, N. (2019). Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing. International Journal of High Performance Computing and Networking, 14(4), 435-443. https://doi.org/10.1504/IJHPCN.2019.102350

In the wake of the development in science and technology, Cloud Computing has obtained more attention in different field. Meanwhile, outlier detection for data mining in Cloud Computing is playing more and more significant role in different research... Read More about Outlier Detection of Time Series with A Novel Hybrid Method in Cloud Computing.

Deriving ChaCha20 Key Streams From Targeted Memory Analysis (2019)
Journal Article
McLaren, P., Buchanan, W. J., Russell, G., & Tan, Z. (2019). Deriving ChaCha20 Key Streams From Targeted Memory Analysis. Journal of Information Security and Applications, 48, Article 102372. https://doi.org/10.1016/j.jisa.2019.102372

There can be performance and vulnerability concerns with block ciphers, thus stream ciphers can used as an alternative. Although many symmetric key stream ciphers are fairly resistant to side-channel attacks, cryptographic artefacts may exist in memo... Read More about Deriving ChaCha20 Key Streams From Targeted Memory Analysis.

A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games (2019)
Thesis
Singh Roy, A. A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2090355

The video games industry is one of the most attractive and lucrative segments in the entertainment and digital media, with big business of more than $150 billion worldwide. A popular approach in this industry is the online freemium model, wherein the... Read More about A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games.

How autonomous control can improve the performance of logistics networks - a simulation experiment (2019)
Thesis
Preinl, T. How autonomous control can improve the performance of logistics networks - a simulation experiment. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2089989

In this thesis the application of autonomous control concepts to logistics networks is studied by means of a simulation model. This simulation model is based on an actual outbound bulk product supply network of a commodity company.
Logistics planni... Read More about How autonomous control can improve the performance of logistics networks - a simulation experiment.

Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things (2019)
Thesis
Ghaleb, B. Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2070542

At the heart of the Internet of Things (IoTs) are the Low-power and Lossy networks (LLNs), a collection of interconnected battery-operated and resource-constrained tiny devices that enable the realization of a wide range of applications in multiple d... Read More about Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things.

Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids (2019)
Presentation / Conference Contribution
Powers, S. T., Meanwell, O., & Cai, Z. (2019, June). Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. Presented at 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, Avila, Spain

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 a centralised optimisation algorithm run by a utility company. Here we dev... Read More about Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids.