The DataPorts project has produced so far the following publications :

2021

Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach

Nikolakopoulos, A.; Marinakis, A.; Moulos, V. and Varvarigou, T. (2021). “Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach”. In Proceedings of the 17th International Conference on Web Information Systems and Technologies – DMMLACS, ISBN 978-989-758-536-4; ISSN 2184-3252, pages 585-592.

AI: Opportunities and Challenges - The Optimal Exploitation of (Telecom) Corporate Data

Palaiogeorgou P., Gizelis C.A., Misargopoulos A., Nikolopoulos-Gkamatsis F., Kefalogiannis M., Christonasis A.M. (2021) “AI: Opportunities and Challenges – The Optimal Exploitation of (Telecom) Corporate Data”, in Dennehy D., Griva A., Pouloudi N., Dwivedi Y.K., Pappas I., Mäntymäki M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science, vol 12896. Springer, Cham.

Ensemble Deep Learning for Proactive Terminal Process Management at the Port of Duisburg “duisport”

Metzger A., Franke J., Jansen T. (2021) “Ensemble Deep Learning for Proactive Terminal Process Management at the Port of Duisburg duisport”, in vom Brocke J., Mendling J., Rosemann M. (eds) Business Process Management Cases Vol. 2. Springer, Berlin, Heidelberg.

A Reference Model for Big Data Technologies

Curry E., Metzger A., Berre A.J., Monzón A., Boggio-Marzet A. (2021) “A Reference Model for Big Data Technologies”, in Curry E., Metzger A., Zillner S., Pazzaglia JC., García Robles A. (eds) The Elements of Big Data Value. Springer, Cham.

Ontology-driven evolution of software security

Sven Peldszus, Jens Bürger, Timo Kehrer, Jan Jürjens, “Ontology-driven evolution of software security”, Data & Knowledge Engineering, Volume 134, 2021, 101907, ISSN 0169-023X.

2020

Cost Fairness for Blockchain-Based Two-Party Exchange Protocols

M. Lohr, B. Schlosser, J. Jürjens and S. Staab, “Cost Fairness for Blockchain-Based Two-Party Exchange Protocols”, 2020 IEEE International Conference on Blockchain (Blockchain), Rhodes Island, 2020, pp. 428-435.

Towards a smart port: the role of the telecom industry

Gizelis, C. A., Mavroeidakos, T., Marinakis, A., Litke, A., & Moulos, V. (2020). “Towards a Smart Port: The Role of the Telecom Industry”. Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops: MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, 585, 128–139.

Online Reinforcement Learning for Self-adaptive Information Systems

A. Palm, A. Metzger, and K. Pohl, “Online reinforcement learning for self-adaptive information systems”, in 32nd Int’l Conference on Advanced Information Systems Engineering (CAiSE 2020), Grenoble, France, June 8-12, 2020, ser. LNCS, S. Dustdar, E. Yu, C. Salinesi, D. Rieu, and V. Pant, Eds., vol. 12127. Springer, 2020, pp. 169–184.

Triggering Proactive Business Process Adaptations via Online Reinforcement Learning

A. Metzger, T. Kley, and A. Palm, “Triggering proactive business process adaptations via online reinforcement learning”, in 18th Int’l Conference on Business Process Management (BPM 2020), Sevilla, Spain, September 13-18, 2020, ser. Lecture Notes in Computer Science, D. Fahland, C. Ghidini, J. Becker, and M. Dumas, Eds., vol. 12168. Springer, 2020.

A Scalable and Semantic Data as a Service Marketplace for Enhancing Cloud-Based Applications

Psomakelis, E.; Nikolakopoulos, A.; Marinakis, A.; Psychas, A.; Moulos, V.; Varvarigou, T.; Christou, A. “A Scalable and Semantic Data as a Service Marketplace for Enhancing Cloud-Based Applications”. Future Internet 202012, 77.

Framework and Methodology for Establishing Port-City Policies Based on Real-Time Composite Indicators and IoT: A Practical Use-Case

Lacalle, I.; Belsa, A.; Vaño, R.; Palau, C.E. “Framework and Methodology for Establishing Port-City Policies Based on Real-Time Composite Indicators and IoT: A Practical Use-Case”. Sensors 202020, 4131.

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