Dimitrios Zissis

TL;DR: This paper proposes introducing a Trusted Third Party, tasked with assuring specific security characteristics within a cloud environment, and presents a horizontal level of service, available to all implicated entities, that realizes a security mesh, within which essential trust is maintained.

TL;DR: This paper explores increasing participation and sophistication of electronic government services, through implementing a cloud computing architecture, and proposes a high level electronic governance and electronic voting solution, supported by cloud Computing architecture and cryptographic technologies.

TL;DR: The methodology, environment setup, design choices, implementation, results of the preliminary evaluation and assessment of “EasyLexia”, a mobile application for children with learning difficulties, show the promising prospects mobile learning holds in such contexts.

TL;DR: An Artificial Neural Network capable of predicting a vessels future behaviour (position, speed and course), based on events that occur in a predictable pattern, across large map areas is developed.

TL;DR: A publicly accessible, web-based system capable of real time learning and accurately predicting any vessels future behavior in low computational time is implemented, which can potentially be used as the predictive foundation for various intelligent systems, including vessel collision prevention, vessel route planning, operation efficiency estimation and even anomaly detection systems.