All Outputs (9)

Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution (2023)
Conference Proceeding
Kachale, T., Demeke, W., Chrysoulas, C., & Romdhani, I. (2023). Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution. In P. Kommers, I. Arnedillo Sánchez, & P. Isaías (Eds.), PROCEEDINGS OF THE 16 th IADIS INTERNATIONAL CONFERENCE INFORMATION SYSTEMS 2023 (21-28)

This article is a report on the lessons learned when conducting an interpretive case study in a developing country. From the literature review, it was apparent that there are few reported lessons from pilot studies about strategic alignment in higher... Read More about Lessons Learnt from An Online Pilot Study About Strategic Alignment at A Higher Education Institution.

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks (2023)
Conference Proceeding
Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In 2023 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/GCWkshps58843.2023.10465218

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, t... Read More about Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks.

Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques (2023)
Conference Proceeding
Gomez, L. R., Watt, T., Babaagba, K. O., Chrysoulas, C., Homay, A., Rangarajan, R., & Liu, X. (2023). Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. In ICISS '23: Proceedings of the 2023 6th International Conference on Information Science and Systems (113-118). https://doi.org/10.1145/3625156.3625173

In recent years, text has been the main form of communication on social media platforms such as Twitter, Reddit, Facebook, Instagram and YouTube. Emotion Recognition from these platforms can be exploited for all sorts of applications. Through the mea... Read More about Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques.

Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap (2023)
Journal Article
El Boudani, B., Dagiuklas, T., Kanaris, L., Iqbal, M., & Chrysoulas, C. (2023). Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap. Electronics, 12(19), Article 4150. https://doi.org/10.3390/electronics12194150

Indoor positioning is a core enabler for various 5G identity and context-aware applications requiring precise and real-time simultaneous localisation and mapping (SLAM). In this work, we propose a K-nearest neighbours and deep neural network (K-DNN)... Read More about Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap.

Edge NLP for Efficient Machine Translation in Low Connectivity Areas (2023)
Conference Proceeding
Watt, T., Chrysoulas, C., & Gkatzia, D. (in press). Edge NLP for Efficient Machine Translation in Low Connectivity Areas.

Machine translation (MT) usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. Edge natural language processing (NLP) aims to solve this problem by processing lan... Read More about Edge NLP for Efficient Machine Translation in Low Connectivity Areas.

Progressive Web Apps to Support (Critical) Systems in Low or No Connectivity Areas (2023)
Conference Proceeding
Josephe, A. O., Chrysoulas, C., Peng, T., El Boudani, B., Iatropoulos, I., & Pitropakis, N. (2023). Progressive Web Apps to Support (Critical) Systems in Low or No Connectivity Areas. In 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). https://doi.org/10.1109/GlobConET56651.2023.10150058

Web applications are popular in our world today and every organization or individual either build or access at least one each day. It’s important for every application user to continue accessing contents of a web application irrespective of the netwo... Read More about Progressive Web Apps to Support (Critical) Systems in Low or No Connectivity Areas.

Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System (2023)
Conference Proceeding
Laing, S., Ludwiniak, R., El Boudani, . B., Chrysoulas, C., Ubakanma, G., & Pitropakis, N. (2023). Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System. In 2023 19th International Conference on the Design of Reliable Communication Networks (DRCN). https://doi.org/10.1109/DRCN57075.2023.10108330

The usage of cloud systems is at an all-time high, and with more organizations reaching for Big Data the forensic implications must be analyzed. The Hadoop Distributed File System is widely used both as a cloud service and with organizations implemen... Read More about Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System.

Attacking Windows Hello for Business: Is It What We Were Promised? (2023)
Journal Article
Haddad, J., Pitropakis, N., Chrysoulas, C., Lemoudden, M., & Buchanan, W. J. (2023). Attacking Windows Hello for Business: Is It What We Were Promised?. Cryptography, 7(1), Article 9. https://doi.org/10.3390/cryptography7010009

Traditional password authentication methods have raised many issues in the past, including insecure practices, so it comes as no surprise that the evolution of authentication should arrive in the form of password-less solutions. This research aims to... Read More about Attacking Windows Hello for Business: Is It What We Were Promised?.

Explainable AI-Based DDOS Attack Identification Method for IoT Networks (2023)
Journal Article
Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023). Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers, 12(2), Article 32. https://doi.org/10.3390/computers12020032

The modern digitized world is mainly dependent on online services. The availability of online systems continues to be seriously challenged by distributed denial of service (DDoS) attacks. The challenge in mitigating attacks is not limited to identify... Read More about Explainable AI-Based DDOS Attack Identification Method for IoT Networks.