School of Computer Science and Informatics
Recent Submissions
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Multi-attribute Grey Target Decision-making Based on" Kernel" and Double Degree of Greyness
(Article)According to the characteristics of three-parameter interval grey number and the advantages of grey target, a multi-attribute grey target decision-making method is built. First, the "kernel" of the three-parameter interval ... -
A novel energy consumption forecasting model combining an optimized DGM (1, 1) model with interval grey numbers
(Article)Since energy consumption (EC) is becoming an important issue for sustainable development in the world, it has a practical significance to predict EC effectively. However, there are two main uncertainty factors affecting ... -
Data-based structure selection for unified discrete grey prediction model
(Article)Grey models have been reported to be promising for time series prediction with small samples, but the diversity kinds of model structures and modelling assumptions restrains their further applications and developments. In ... -
CertLedger: A New PKI Model with Certi cate Transparency Based on Blockchain
(Article)In conventional PKI, CAs are assumed to be fully trusted. However, in practice, CAs' absolute responsibility for providing trustworthiness caused major security and privacy issues. To prevent such issues, Google introduced ... -
Passivity-based Tracking Control of an Omnidirectional Mobile Robot Using Only One Geometrical Parameter
(Article)This paper presents an output feedback tracking control scheme for a three-wheeled omnidirectional mobile robot, based on passivity property and a modified generalized proportional integral (GPI) observer. The proposed ... -
Enhancing the Traffic Delay Model (TDM) in Signalised Intersections using GPS Data
(Conference)Signalised Intersection Delay Model is one of the important components used in urban traffic for capacity analysis and simulations. The efficiency and quality of traffic operation at signal controlled intersections are ... -
Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection
(Conference)Speech Activity Detection (SAD) plays an important role in mobile communications and automatic speech recognition (ASR). Developing efficient SAD systems for real-world applications is a challenging task due to the presence ... -
Sharing Cyber Threat Intelligence under the General Data Protection Regulation
(Conference)Sharing Cyber Threat Intelligence (CTI) is a key strategy for improving cyber defense, but there are risks of breaching regulations and laws regarding privacy. With regulations such as the General Data Protection Regulation ... -
Social media doesn’t need new regulations to make the internet safer – GDPR can do the job
(Article)New legislation is proposed to reduce "online harms", for example on social media. This includes the idea of a "duty of care" for online platforms. I propose to consider the existing GDPR and its requirement to do data ... -
Ethical Reflections of Human Brain Research and Smart Information Systems
(Article)This case study explores ethical issues that relate to the use of Smart Infor-mation Systems (SIS) in human brain research. The case study is based on the Human Brain Project (HBP), which is a European Union funded project. ... -
The Quantification of Subjectivity: The R-fuzzy Grey Analysis Framework
(Article)This paper puts forward a newly derived framework for capturing and inferring from subjective based uncertainty for any given observation. The framework is referred to as the R-fuzzy grey analysis framework (RfGAf), which ... -
Ethical Implications of Predictive Risk Intelligence
(Article)This paper presents a case study on the ethical issues that relate to the use of Smart Information Systems (SIS) in predictive risk intelligence. The case study is based on a company that is using SIS to provide predictive ... -
A realisation of ethical concerns with smartphone personal health monitoring apps
(Conference)The pervasiveness of smartphones has facilitated a new way in which owners of devices can monitor their health using applications (apps) that are installed on their smartphones. Smartphone personal health monitoring (SPHM) ... -
Image-based Text Classification using 2D Convolutional Neural Networks
(Conference)We propose a new approach to text classification in which we consider the input text as an image and apply 2D Convolutional Neural Networks to learn the local and global semantics of the sentences from the variations ... -
Comparing CNN and Human Crafted Features for Human Activity Recognition
(Conference)Deep learning techniques such as Convolutional Neural Networks (CNNs) have shown good results in activity recognition. One of the advantages of using these methods resides in their ability to generate features automatically. ... -
Automatic Dataset Labelling and Feature Selection for Intrusion Detection Systems
(Conference)Correctly labelled datasets are commonly required. Three particular scenarios are highlighted, which showcase this need. When using supervised Intrusion Detection Systems (IDSs), these systems need labelled datasets to be ... -
A Data Fusion Technique to Detect Wireless Network Virtual Jamming Attacks
(Conference)Wireless communications are potentially exposed to jamming due to the openness of the medium and, in particular, to virtual jamming, which allows more energy-efficient attacks. In this paper we tackle the problem of virtual ... -
Adding Contextual Information to Intrusion Detection Systems Using Fuzzy Cognitive Maps
(Conference)In the last few years there has been considerable increase in the efficiency of Intrusion Detection Systems (IDSs). However, networks are still the victim of attacks. As the complexity of these attacks keeps increasing, ... -
Support Vector Machine for Network Intrusion and Cyber-Attack Detection
(Conference)Cyber-security threats are a growing concern in networked environments. The development of Intrusion Detection Systems (IDSs) is fundamental in order to provide extra level of security. We have developed an unsupervised ...
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