Marios Angelopoulos

Dr. Marios Angelopoulos

Faculty of Science and Technology, Department of Computing and Informatic, Bournemouth University, Bournemouth, UK

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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31 January 2024 in Telecommunication Systems
Verified
Journal Article
Open access
PDF file
KVKonstantinos Voulgaridis
Konstantinos Voulgaridis
Thomas LagkasThomas Lagkas
Thomas Lagkas
MAMarios Angelopoulos
Marios Angelopoulos
Alexandros-Apostolos BoulogeorgosAlexandros-Apostolos Boulogeorgos
Alexandros-Apostolos Boulogeorgos
Vasileios ArgyriouVasileios Argyriou
Vasileios Argyriou
Panagiotis SarigiannidisPanagiotis Sarigiannidis
Panagiotis Sarigiannidis
Taking into consideration the existing Industry 4.0 infrastructures and the rise of Industry 5.0 (I5.0), more and more solutions are being developed, aiming towards increased environmental consciousness through advanced technologies, and human centricity. However, there are ongoing requirements on data traceability, and access to the related actors, to ensure the establishment of sustainable solutions, within the context of a digital circular economy (DCE) environment. Digital product passports (DPPs) constitute such novel technological solution that can enable the transition toward DCE and sustainable I4.0 and I5.0, as digital identities that are assigned to physical products, capable of tracing their lifecycles through data such as their technical specifications, usage instructions, and repair and maintenance information. Although the respective research community has started providing a thorough analysis of DPPs potential to constitute a CE enabler, their technical requirements are still unclear. As part of our contribution to this issue, we propose a fundamental CE framework with integrated DPP characteristics, with the potential of being adapted in different sector stages for the generation and distribution of DPPs both for stakeholders and consumers. The corresponding solution is further supported through a systematic literature review that follows a technological approach to the DPPs implementation.

1 September 2014 in Computer Networks
Verified
Journal Article
Closed access
MAMarios Angelopoulos
Marios Angelopoulos
SNSotiris Nikoletseas
Sotiris Nikoletseas
Theofanis RaptisTheofanis Raptis
Theofanis Raptis

21 October 2012
Verified
Conference Paper
Open access
PDF file
MAMarios Angelopoulos
Marios Angelopoulos
SNSotiris Nikoletseas
Sotiris Nikoletseas
Theofanis RaptisTheofanis Raptis
Theofanis Raptis
CRChristoforos Raptopoulos
Christoforos Raptopoulos
FVFilippos Vasilakis
Filippos Vasilakis

31 October 2011
Verified
Conference Paper
Open access
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MAMarios Angelopoulos
Marios Angelopoulos
SNSotiris Nikoletseas
Sotiris Nikoletseas
GTGeorgios Constantinos Theofanopoulos
Georgios Constantinos Theofanopoulos

1 June 2015
Verified
Conference Paper
Closed access
MAMarios Angelopoulos
Marios Angelopoulos
OEOrestis Evangelatos
Orestis Evangelatos
SNSotiris Nikoletseas
Sotiris Nikoletseas
Theofanis RaptisTheofanis Raptis
Theofanis Raptis
JRJose D. P. Rolim
Jose D. P. Rolim
KVKonstantinos Veroutis
Konstantinos Veroutis
We present an IoT testbed architecture for Smart Buildings that enables the seamless and scalable integration of crowd-sourced resources such as smartphones and tablets. The purpose of this integration is dual. First, the embedded sensory capabilities of the resources provided by the crowd are combined with the sensing capabilities of the building for efficient smart actuations. Second, the system is able to interact with its users in a direct, personal way both for incentivising them to provide sensory data from their devices and to receive feed-back on their preferences and experienced comfort. The above are exposed to the experimenter as a set of services thus providing great agility on developing and evaluating a broad range of use case scenarios. We demonstrate this flexibility by deploying a testbed in the premises of a building and by evaluating several crowd incentive policies in the context of a smart luminance scenario. The scenario is based on Participatory Sensing principles to create live luminance maps, aggregate user preferences and accordingly adjust the luminance units.

22 September 2020 in Sensors
Verified
Journal Article
Open access
PDF file
ONOliver Nock
Oliver Nock
JSJonathan Starkey
Jonathan Starkey
MAMarios Angelopoulos
Marios Angelopoulos
The paradigm of Internet of Things has now reached a maturity level where the pertinent research goal is the successful application of IoT technologies in systems of high technological readiness level. However, while basic aspects of IoT connectivity and networking have been well studied and adequately addressed, this has not been the case for cyber security aspects of IoT. This is nicely demonstrated by the number of IoT testbeds focusing on networking aspects and the lack of IoT testbeds focusing on security aspects. Towards addressing the existing and growing skills-shortage in IoT cyber security, we present an IoT Cyber Range (IoT-CR); an IoT testbed designed for research and training in IoT security. The IoT-CR allows the user to specify and work on customisable IoT networks, both virtual and physical, and supports the concurrent execution of multiple scenarios in a scalable way following a modular architecture. We first provide an overview of existing, state of the art IoT testbeds and cyber security related initiatives. We then present the design and architecture of the IoT Cyber Range, also detailing the corresponding RESTful APIs that help de-associate the IoT-CR tiers and obfuscate underlying complexities. The design is focused around the end-user and is based on the four design principles for Cyber Range development discussed in the introduction. Finally, we demonstrate the use of the facility via a red/blue team scenario involving a variant of man-in-the-middle attack using IoT devices. Future work includes the use of the IoT-CR by cohorts of trainees in order to evaluate the effectiveness of specific scenarios in acquiring IoT-related cyber-security knowledge and skills, as well as the IoT-CR integration with a pan-European cyber-security competence network.