Conference papers: Recent submissions

Now showing items 21-40 of 85

  • ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT Using Blockchain Technology 

    Rantos, Konstantinos; Drosatos, George; Demertzis, Konstantinos; Ilioudis, Christos; Papanikolaou, Alexandros; Kritsas, Antonios (International Conference on Security for Information Technology and Communications, 2018)
    The value of personal data generated and managed by smartdevices which comprise the Internet of Things (IoT) is unquestionable.The EU General Data Protection Regulation (GDPR) that has beenrecentlyput in force, sets the ...

  • Deriving the Political Affinity of Twitter Users from Their Followers 

    Stamatelatos, Giorgos; Gyftopoulos, Sotirios; Drosatos, George; Efraimidis, Pavlos S. (IEEE, 2018)
    In this work, we show that Twitter users can reveal valuable political information about particular Nodes of Interest (NOIs) they opt to follow. More precisely, we utilize an interesting graph projection method and a series ...

  • Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem 

    Rantos, Konstantinos; Drosatos, George; Demertzis, Konstantinos; Ilioudis, Christos; Papanikolaou, Alexandros (2018)
    In the Internet of Things (IoT) ecosystem the volume of data generated by devices in the user’s environment is constantly increasing and becoming of particular value. In such an environment the average user is bound to ...

  • Empowering Responsible Online Gambling by Real-time Persuasive Information Systems 

    Drosatos, George; Nalbadis, Fotis; Arden-Close, Emily; Baines, Victoria; Bolat, Elvira; Vuillier, Laura; Kostoulas, Theodoros; Wasowska, Sonia; Bonello, Maris; Palles, Jane; McAlaney, John; Phalp, Keith; Ali, Raian (IEEE, 2018-05)
    Online gambling, unlike other mediums of problem-atic and addictive behaviours, such as tobacco and alcohol, offers unprecedented opportunities for building information systems that are able to monitor and understand a ...

  • An Online Service for Topics and Trends Analysis in Medical Literature 

    Kavvadias, Spyridon; Drosatos, George; Kaldoudi, Eleni (IFMBE Proceedings, 2018-05)
    Topic modeling refers to a suite of probabilistic algorithms for extracting word patterns from a collection of documents aiming for data clustering and detection of research trends. We developed an online service that ...

  • Communicating Personalized Risk Factors for Lifestyle Coaching 

    Drosatos, George; Bakirlis, Kyriakos; Efraimidis, Pavlos S.; Kaldoudi, Eleni (2018)
    Chronic non-communicable diseases such as diabetes, chronic cardiorenal and respiratory disease and cancer, are serious, burdensome and costly conditions that share a common characteristic: they heavily depend on common ...

  • A privacy-preserving protocol for finding the nearest doctor in an emergency 

    Drosatos, Georgios; Efraimidis, Pavlos S. (2010-06)
    In this work, we define the Nearest Doctor Problem (NDP) for finding the closest doctor in case of an emergency and present a secure multi-party computation for solving it. The solution is based on a privacy-preserving ...

  • Notarization of Knowledge Retrieval from Biomedical Repositories Using Blockchain Technology 

    Mytis-Gkometh, P.; Drosatos, G.; Efraimidis, P. S.; Kaldoudi, E. (International Conference on Biomedical and Health Informatics, 2017)
    Biomedical research and clinical decision depend increasingly on a number of authoritative databases, mostly public and continually enriched via peer scientific contributions. Given the dynamic nature of data and their ...

  • General Data Format Security Extensions for Biomedical Signals 

    Daukantas, S.; Marozas, V.; Drosatos, G.; Kaldoudi, E.; Lukosevicius, A. (2018)
    Biosignals recorded using personal health devices and stored in General Data Format (GDF) are vulnerable when the data is transferred, processed and stored to the external servers. The aforementioned vulnerabilities influence ...

  • Topics and Trends Analysis in eHealth Literature 

    Drosatos, G.; Kavvadias, S.E.; Kaldoudi, E. (IFMBE Proceedings, 2018)
    eHealth is an interdisciplinary research area that fosters application of informatics and communication technologies for the improvement of healthcare delivery. In this paper, we present an overall analysis of eHealth ...

  • Integrating Medical Scientific Knowledge with the Semantically Quantified Self 

    Third, Allan; Gkotsis, George; Kaldoudi, Eleni; Drosatos, George; Portokallidis, Nick; Roumeliotis, Stefanos; Domingue, John (International Semantic Web Conference, 2016-09-23)
    The assessment of risk in medicine is a crucial task, and depends on scientific knowledge derived by systematic clinical studies on factors affecting health, as well as on particular knowledge about the current status of ...

  • Towards Privacy by Design in Personal e-Health Systems 

    Drosatos, George; Efraimidis, Pavlos S.; Williams, Garrath; Kaldoudi, Eleni (SCITEPRESS - Science and Technology Publications, Lda, 2016)
    Personal e-health systems are the next generation of e-health applications and their goal is to assist patientsin managing their disease and to help both patients and healthy people maintain behaviours that ...

  • Capturing Provenance, Evolution and Modification of Clinical Protocols via a Heterogeneous, Semantic Social Network 

    Portokallidis, Nick; Drosatos, George; Kaldoudi, Eleni (IOS Press, 2016)
    Healthcare delivery is largely based on medical best practices as in clinical protocols. Research so far has addressed the computerized execution of clinical protocols by developing a number of related representation ...

  • An Ontology Based Scheme for Formal Care Plan Meta-Description 

    Kaldoudi, E.; Drosatos, G.; Portokallidis, N.; Third, A. (IFMBE Proceedings 57, 2016)
    Contemporary healthcare delivery is based on state-of-the-art scientific best practices captured in systematically developed formal care plans which include guidelines, clinical protocols, integrated care pathways, etc. ...

  • DUTH at TREC 2015 Clinical Decision Support Track 

    Drosatos, George; Roumeliotis, Stefanos; Arampatzis, Avi; Kaldoudi, Eleni (2015)
    In this report we give an overview of our participation in the TREC 2015 Clinical Decision Support Track. We present two approaches for pre-processing and indexing of the open-access PubMed articles, and four methods for ...

  • Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism 

    Drosatos, George; Efraimidis, Pavlos S.; Arampatzis, Avi; Stamatelatos, Giorgos; Athanasiadis, Ioannis N. (COMPSAC, 2015-07)
    We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation ...

  • Extracting Intention from Web Queries– Application in eHealth Personalization 

    Drosatos, G.; Arampatzis, A.; Kaldoudi, E. (Springer, Cham, 2015-06)
    Personalizing healthcare applications requires capturing patient specific information, including medical history, health status, and mental aspects such as behaviors, intentions, and attitudes. This paper presents a ...

  • Towards Privacy in Personal Data Management 

    Efraimidis, P.S.; Drosatos, G.; Nalbadis, F.; Tasidou, A. (Panhellenic Conference on Informatics, 2008-08-05)
    We present a personal data management framework called Polis, which abides by the following principle: Every individual has absolute control over her personal data, which reside only at her own side. Preliminary results ...

  • A Decentralized Voting Mechanism: Engaging ERC-20 token holders in decision-making 

    Christodoulou, Panayiotis; Christodoulou, Klitos (IEEE, 2020-07-20)
    This paper presents a Blockchain-based voting mechanism that has the potential to disrupt current voting systems and fuel the development of decentralized governance. More specifically, the paper presents a study on the ...

  • ParkChain: An IoT Parking Service Based on Blockchain 

    Zinonos, Zinon; Christodoulou, Panayiotis; Andreou, Andreas; Chatzichristofis, Savvas A. (IEEE, 2019-08-19)
    The IoT ecosystem is evolving quickly, developing several applications in different sectors. The majority of these applications use centralized infrastructures something that poses several challenges especially related to ...