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All Outputs (37)

Towards Building a Smart Water Management System (SWAMS) in Nigeria (2024)
Conference Proceeding
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (in press). Towards Building a Smart Water Management System (SWAMS) in Nigeria.

The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insufficient access to clean water, particularly in rural areas. These challeng... Read More about Towards Building a Smart Water Management System (SWAMS) in Nigeria.

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.

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.

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Conference Proceeding
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). In Attacks and Defenses for the Internet-of-Things: 5th International Workshop, ADIoT 2022 (41-50). https://doi.org/10.1007/978-3-031-21311-3_8

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS (2022)
Conference Proceeding
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., …Tsolis, D. (2022). GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. In Computer Security. ESORICS 2021 International Workshops. https://doi.org/10.1007/978-3-030-95484-0_3

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broadened the attack surface and made them a popular target for cyber attacks.... Read More about GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.

An exploratory qualitative study of middle managers' lived experiences in contribution to strategic alignment at a public university (2022)
Conference Proceeding
Kachale, T., Demeke, W., Chrysoulas, C., & Romdhani, I. (in press). An exploratory qualitative study of middle managers' lived experiences in contribution to strategic alignment at a public university. In Information Systems and Technologies: WorldCIST 2023 Volume 1

This study draws attention to less studied areas of middle management role in business strategy formulation, information strategy formulation, and their alignment in developing countries. It was conducted as a case study at a public university in Mal... Read More about An exploratory qualitative study of middle managers' lived experiences in contribution to strategic alignment at a public university.

Towards An SDN Assisted IDS (2021)
Conference Proceeding
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C., & Dagiuklas, T. (2021). Towards An SDN Assisted IDS. In 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). https://doi.org/10.1109/NTMS49979.2021.9432651

Modern Intrusion Detection Systems are able to identify and check all traffic crossing the network segments that they are only set to monitor. Traditional network infrastructures use static detection mechanisms that check and monitor specific types o... Read More about Towards An SDN Assisted IDS.

Programming Languages: A Usage-based Statistical Analysis and Visualization (2021)
Conference Proceeding
Orlowska, A., Chrysoulas, C., Jaroucheh, Z., & Liu, X. (2021). Programming Languages: A Usage-based Statistical Analysis and Visualization. In ICISS 2021: 2021 The 4th International Conference on Information Science and Systems (143-148). https://doi.org/10.1145/3459955.3460614

Understanding the popularity, and its trend, of programming languages can be important to anticipate which languages are best studied for future use, which are widely supported for use in enterprise projects, and investigate which skills are easiest... Read More about Programming Languages: A Usage-based Statistical Analysis and Visualization.

Multi-label Classifier to Deal with Misclassification in Non-functional Requirements (2020)
Conference Proceeding
Sabir, M., Chrysoulas, C., & Banissi, E. (2020). Multi-label Classifier to Deal with Misclassification in Non-functional Requirements. In Trends and Innovations in Information Systems and Technologies: Volume 1 (486-493). https://doi.org/10.1007/978-3-030-45688-7_49

Automatic classification of software requirements is an active research area; it can alleviate the tedious task of manual labeling and improves transparency in the requirements engineering process. Several attempts have been made towards the identifi... Read More about Multi-label Classifier to Deal with Misclassification in Non-functional Requirements.

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM) (2020)
Conference Proceeding
Seuwou, P., Chrysoulas, C., Banissi, E., & Ubakanma, G. (2020). Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM). In Trends and Innovations in Information Systems and Technologies: Volume 1 (507-516). https://doi.org/10.1007/978-3-030-45688-7_51

The work presented in the paper aims at exploring information technology acceptance in the context of Autonomous Vehicles (AV) with the objectives of identifying and testing the constructs that will influence future AVs acceptance. Most models of tec... Read More about Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM).

Class Feature Pyramids for Video Explanation (2020)
Conference Proceeding
Stergiou, A., Kapidis, G., Kalliatakis, G., Chrysoulas, C., Poppe, R., & Veltkamp, R. (2020). Class Feature Pyramids for Video Explanation. . https://doi.org/10.1109/iccvw.2019.00524

Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolutions typically lead to higher accuracies, the inner workings of the tra... Read More about Class Feature Pyramids for Video Explanation.

Granularity Cost Analysis for Function Block as a Service (2020)
Conference Proceeding
Homay, A., Zoitl, A., de Sousa, M., Wollschlaeger, M., & Chrysoulas, C. (2020). Granularity Cost Analysis for Function Block as a Service. . https://doi.org/10.1109/indin41052.2019.8972205

The main challenge of exposing IEC61499 or IEC61131-3 Function Blocks as a service remains in adopting service-oriented concepts in function block programming. Implementing an IEC61499 or IEC61131-3 Function Block that is being accessed via service-o... Read More about Granularity Cost Analysis for Function Block as a Service.

Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT (2020)
Conference Proceeding
Ashiq, S., Chrysoulas, C., & Banissi, E. (2020). Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT. . https://doi.org/10.1109/icic48496.2019.8966710

Green Information System/Technology adoption is one of the key solutions sought by organisations, policy makers and governments to promote sustainability and deal with environmental issues. Surprisingly, in the research discipline of management infor... Read More about Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT.

Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions (2019)
Conference Proceeding
Stergiou, A., Kapidis, G., Kalliatakis, G., Chrysoulas, C., Veltkamp, R., & Poppe, R. (2019). Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions. . https://doi.org/10.1109/icip.2019.8803153

Deep learning approaches have been established as the main methodology for video classification and recognition. Recently, 3-dimensional convolutions have been used to achieve state-of-the-art performance in many challenging video datasets. Because o... Read More about Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions.

Authentication Layer for IEC 61113-3 Applications (2019)
Conference Proceeding
Homay, A., Chrysoulas, C., & de Sousa, M. (2019). Authentication Layer for IEC 61113-3 Applications. . https://doi.org/10.1109/ntms.2019.8763839

Mid 2010, the Stuxnet ICS attack targeted the Siemens automation products, and after this attack the ICS security was thrust into spotlight, automation products suppliers started to re-examine their business approach to cyber security. The OPC Founda... Read More about Authentication Layer for IEC 61113-3 Applications.