Theodora Varvarigou

Dr. Theodora Varvarigou

School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 October 2021 in Computers
Verified
Journal Article
Open access
PDF file
GPGeorgios Palaiokrassas
Georgios Palaiokrassas
PSPetros Skoufis
Petros Skoufis
OVOrfefs Voutyras
Orfefs Voutyras
TKTakafumi Kawasaki
Takafumi Kawasaki
MGMathieu Gallissot
Mathieu Gallissot
TVTheodora Varvarigou
Theodora Varvarigou
In this paper, we demonstrate the multiple points of innovation when combining blockchain technology with Internet of Things (IoT) and security frameworks. The deployment and use of IoT device networks in smart city environments has produced an enormous amount of data. The fact that those data are possessed by multiple sources that use independent systems for data collection, storage, and use impedes the exploitation of their value. Blockchains, as distributed ledgers, can be used for addressing the development of a universal system for data collection and distribution. Smart contracts can be used to automate all the processes of such a network, while at the same time, blockchain and the InterPlanetary File System (IPFS) protect sensitive data through anonymity and distributed storage. An innovative and open IoT blockchain market of applications, data, and services is proposed that: (i) provides the framework upon which objects and people can exchange value in form of virtual currencies, for assets (data and services) received; (ii) defines the motivation incentives according to social and business context for humans and smart objects to interact. The specific marketplace is piloted through a cross-border trial between Santander and Fujisawa, in the context of the M-Sec project, validating thus the interoperability, efficiency, and data protection principles.

27 October 2023 in Computers
Verified
Journal Article
Open access
PDF file
ANAnastasios Nikolakopoulos
Anastasios Nikolakopoulos
MSMatilde Julián Seguí
Matilde Julián Seguí
APAndreu Belsa Pellicer
Andreu Belsa Pellicer
MKMichalis Kefalogiannis
Michalis Kefalogiannis
CGChristos-Antonios Gizelis
Christos-Antonios Gizelis
TVTheodora Varvarigou
Theodora Varvarigou
Over the last few years, the European Union (EU) has placed significant emphasis on the interoperability of critical infrastructures (CIs). One of the main CI transportation infrastructures are ports. The control systems managing such infrastructures are constantly evolving and handle diverse sets of people, data, and processes. Additionally, interdependencies among different infrastructures can lead to discrepancies in data models that propagate and intensify across interconnected systems. This article introduces “BigDaM”, a Big Data Management framework for critical infrastructures. It is a cutting-edge data model that adheres to the latest technological standards and aims to consolidate APIs and services within highly complex CI infrastructures. Our approach takes a bottom-up perspective, treating each service interconnection as an autonomous entity that must align with the proposed common vocabulary and data model. By injecting strict guidelines into the service/component development’s lifecycle, we explicitly promote interoperability among the services within critical infrastructure ecosystems. This approach facilitates the exchange and reuse of data from a shared repository among developers, small and medium-sized enterprises (SMEs), and large vendors. Business challenges have also been taken into account, in order to link the generated data assets of CIs with the business world. The complete framework has been tested in the main EU ports, part of the transportation sector of CIs. Performance evaluation and the aforementioned testing is also being analyzed, highlighting the capabilities of the proposed approach.