Outputs (303)

Enhancing user fairness in OFDMA radio access networks through machine learning (2019)
Conference Proceeding
Comsa, I., Zhang, S., Aydin, M., Kuonen, P., Trestian, R., & Ghinea, G. (2019). Enhancing user fairness in OFDMA radio access networks through machine learning. In 2019 Wireless Days (WD). , (1-8). https://doi.org/10.1109/WD.2019.8734262

The problem of radio resource scheduling subject to fairness satisfaction is very challenging even in future radio access networks. Standard fairness criteria aim to find the best trade-off between overall throughput maximization and user fairness sa... Read More about Enhancing user fairness in OFDMA radio access networks through machine learning.

Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure (2019)
Conference Proceeding
Asquith, P. M., & Ihshaish, H. (2019). Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure. https://doi.org/10.1145/3331076.3331095

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification,... Read More about Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure.

FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments (2019)
Conference Proceeding
Perez Hernandez, M., Alturki, B., & Reiff-Marganiec, S. (2019). FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments. In 2018 IEEE International Conference on Internet of Things (iThings); IEEE Green Computing and Communications (GreenCom); IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (66-73). https://doi.org/10.1109/Cybermatics_2018.2018.00045

The Internet of Things aims to digitize everyday physical objects by connecting them to the internet. As a result, cyber-physical environments of multiple sizes emerge, imposing new requirements on applications and software systems in regards support... Read More about FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments.

What makes for effective visualisation in cyber situational awareness for non-expert users? (2019)
Conference Proceeding
Carroll, F., Chakof, A., & Legg, P. (2019). What makes for effective visualisation in cyber situational awareness for non-expert users?. . https://doi.org/10.1109/CyberSA.2019.8899440

© 2019 IEEE. As cyber threats continue to become more prevalent, there is a need to consider how best we can understand the cyber landscape when acting online, especially so for non-expert users. Satellite navigation systems provide the de facto stan... Read More about What makes for effective visualisation in cyber situational awareness for non-expert users?.

Efficient and interpretable real-time malware detection using random-forest (2019)
Conference Proceeding
Mills, A., Spyridopoulos, T., & Legg, P. (2019). Efficient and interpretable real-time malware detection using random-forest. . https://doi.org/10.1109/CyberSA.2019.8899533

© 2019 IEEE. Malicious software, often described as malware, is one of the greatest threats to modern computer systems, and attackers continue to develop more sophisticated methods to access and compromise data and resources. Machine learning methods... Read More about Efficient and interpretable real-time malware detection using random-forest.

Tools and techniques for improving cyber situational awareness of targeted phishing attacks (2019)
Conference Proceeding
Legg, P., & Blackman, T. (2019). Tools and techniques for improving cyber situational awareness of targeted phishing attacks. . https://doi.org/10.1109/CyberSA.2019.8899406

© 2019 IEEE. Phishing attacks continue to be one of the most common attack vectors used online today to deceive users, such that attackers can obtain unauthorised access or steal sensitive information. Phishing campaigns often vary in their level of... Read More about Tools and techniques for improving cyber situational awareness of targeted phishing attacks.

OpenCL vs: Accelerated finite-difference digital synthesis (2019)
Conference Proceeding
Renney, H., Gaster, B. R., & Mitchell, T. (2019). OpenCL vs: Accelerated finite-difference digital synthesis. . https://doi.org/10.1145/3318170.3318172

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. Digital audio synthesis has become an important component of modern music production with techniques that can produce realistic simulations of real instruments. Physica... Read More about OpenCL vs: Accelerated finite-difference digital synthesis.

Secure Social Media Spaces for Communities of Vulnerable People (2019)
Conference Proceeding
Pimenidis, E., & Polatidis, N. (2019). Secure Social Media Spaces for Communities of Vulnerable People. . https://doi.org/10.1109/ICGS3.2019.8688027

© 2019 IEEE. This paper presents a proposal for developing secure social media spaces for groups of people that could be vulnerable to external influences. These could be refuges from war torn or politically unstable countries that could be persecute... Read More about Secure Social Media Spaces for Communities of Vulnerable People.

Embedding geographic locations for modelling the natural environment using flickr tags and structured data (2019)
Conference Proceeding
Jeawak, S. S., Jones, C. B., & Schockaert, S. (2019). Embedding geographic locations for modelling the natural environment using flickr tags and structured data. In Advances in Information Retrieval. , (51-66). https://doi.org/10.1007/978-3-030-15712-8_4

Meta-data from photo-sharing websites such as Flickr can be used to obtain rich bag-of-words descriptions of geographic locations, which have proven valuable, among others, for modelling and predicting ecological features. One important insight from... Read More about Embedding geographic locations for modelling the natural environment using flickr tags and structured data.

OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems (2019)
Conference Proceeding
Qaddoumi, E., Odeh, M., Khan, Z., & Kossmann, M. (2019). OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems. https://doi.org/10.1109/ACIT.2018.8672693

Semantic representation is increasingly used in today’s works. With interoperability issues between different constituent systems in the Systems of Systems (SoS) arrangement, it is necessary to have a common vocabulary between heterogenetic systems t... Read More about OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems.