PUBLICATIONS
Evangelos Kalampokis, Nikos Karacapilidis, Dimitris Tsakalidis, and Konstantinos Tarabanis. 2023. Understanding the Use of Emerging Technologies in the Public Sector: A Review of Horizon 2020 Projects. Digit. Gov.: Res. Pract. Just Accepted (January 2023). https://doi.org/10.1145/3580603
Abstract
The main purpose of this article is to provide an up-to-date understanding of the utilization and deployment of emerging technologies in the public sector, as this is reflected through nineteen recently funded Horizon 2020 research projects. For the needs of this study, we have adopted a well-known literature review method that enables a concept-centric analysis of the accumulated knowledge in the field under consideration, and accordingly proposed a conceptual framework that facilitates such an analysis. Through a detailed consideration of these projects and their pilot case implementations, a series of insights about recent research development and applications in the public sector are extracted and discussed. To the best of our knowledge, this is the first attempt to gain such insights from a research projects perspective, which may reveal useful information about the utilization and deployment of these technologies in real-life pilots. The findings of this study are also justified or challenged by referring to recent review articles that investigate the use of emerging technologies in the public sector.
Karacapilidis, N., Tsakalidis, D., Domalis G. (2022). An AI-enhanced solution for large-scale deliberation mapping and explainable reasoning, to appear in EMCIS 2022
Abstract
This work aims to respond to the profound lack of dialogue between citizenship and policy making institutions by proposing a novel solution that enables the transition to inclusive, transparent, accountable and trustworthy deliberation practices. The proposed solution builds on cutting-edge AI tools and technologies to develop a sustainable digital platform, and bridges theories from the fields of argumentation and digital democracy. It may transform scattered islands of emerging knowledge and practices, as well as fragmented discussion threads, into an integrated and coherent dialogue, and provides mechanisms for expanding this dialogue and converting it into tangible actions. Much attention is paid to issues related to knowledge extraction, knowledge graph-based representation of large-scale deliberation, argument mining, aggregation and visualization, as well as to explanation and awareness services about the evolution and outcome of a deliberation.
Domalis G., Karacapilidis N., Karachristos C., Komis V., Manta K., Misirli A., Tsakalidis D. & Filippidi A. (2022). Augmented Intelligence for Pedagogically Sustained Training and Education. In: Uskov, V.L., Howlett, R.J., Jain, L.C. (eds) Smart Education and e-Learning – Smart Pedagogy. SEEL-22 2022. Smart Innovation, Systems and Technologies, vol 305. Springer, Singapore. https://doi.org/10.1007/978-981-19-3112-3_8
Abstract
This paper presents a novel pedagogical framework that aims to promote both basic skills and 21st century competencies by integrating emerging technologies. The proposed framework builds on the strengths of big data and learning analytics to provide different types of stakeholders with explainable recommendations for smart identification of educational resources, as well as for designing personalized learning profiles that consider individual actors’ characteristics, needs and preferences. By leveraging advancements from the fields of Pedagogical Design, Creative Pedagogy, Explainable Artificial Intelligence, and Knowledge Representation and Reasoning for instructional purposes, the framework is able to provide guidelines to stakeholders on how to address underlying educational difficulties and disabilities, shape individual learning paths, and identify cases of gifted and talented students.
Febrian Setianto, Erion Tsani, Fatima Sadiq, Georgios Domalis, Dimitris Tsakalidis, and Panos Kostakos. 2021. GPT-2C: a parser for honeypot logs using large pre-trained language models. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’21). Association for Computing Machinery, New York, NY, USA, 649–653. DOI: https://doi.org/10.1145/3487351.3492723
Abstract
Deception technologies like honeypots produce comprehensive log reports, but often lack interoperability with EDR and SIEM technologies. A key bottleneck is that existing information transformation plugins perform well on static logs (e.g. geolocation), but face limitations when it comes to parsing dynamic log topics (e.g. user-generated content). In this paper, we present a run-time system (GPT-2C) that leverages large pre-trained models (GPT-2) to parse dynamic logs generate by a Cowrie SSH honeypot. Our fine-tuned model achieves 89% inference accuracy in the new domain and demonstrates acceptable execution latency.
Chrysoulas C., Thomson A., Pitropakis N., Papadopoulos P., Lo O., Buchanan W., Domalis G., Karacapilidis N., Tsakalidis D. and Tsolis D., GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. In: Computer Security. ESORICS 2021 International Workshops. ESORICS 2021. Lecture Notes in Computer Science, vol 13106. Springer, Cham. https://doi.org/10.1007/978-3-030-95484-0_3.
Abstract
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. eGovernance services utilize the internet, which is a location addressed system in which whoever controls its location controls not only the content itself but also the integrity and the access of that content. We propose GLASS, a decentralized solution that combines the InterPlanetary File System with Distributed Ledger Technology and Smart Contracts to secure eGovernance services. We also created a testbed environment where we measure the system’s performance.
Domalis G., Karacapilidis N., Tsakalidis D., Giannaros A. (2021) A Trustable and Interoperable Decentralized Solution for Citizen-Centric and Cross-Border eGovernance: A Conceptual Approach. In: Scholl H.J., Gil-Garcia J.R., Janssen M., Kalampokis E., Lindgren I., Rodríguez Bolívar M.P. (eds) Electronic Government. EGOV 2021. Lecture Notes in Computer Science, vol 12850. Springer, Cham. https://doi.org/10.1007/978-3-030-84789-0_19
Abstract
Aiming to support a cross-sector and cross-border eGovernance paradigm for sharing common public services, this paper introduces an AI-enhanced solution that enables beneficiaries to participate in a decentralized network for effective big data exchange and service delivery that promotes the once-only priority and is by design digital, efficient, cost-effective, interoperable and secure. The solution comprises (i) a reliable and efficient decentralized mechanism for data sharing, capable of addressing the complexity of the processes and their high demand of resources; (ii) an ecosystem for delivering mobile services tailored to the needs of stakeholders; (iii) a single sign-on Wallet mechanism to manage the transactions with multiple services; and (iv) an intercommunication layer, responsible for the secure exchange of information among existing eGovernment systems with newly developed ones. An indicative application scenario showcases the potential of our approach.
