COSTAS LAMBRINOUDAKIS

Prof. COSTAS LAMBRINOUDAKIS

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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16 January 2023 in International Journal of Information Security
Verified
Journal Article
Open access
PDF file
ATAggeliki Tsohou
Aggeliki Tsohou
VDVasiliki Diamantopoulou
Vasiliki Diamantopoulou
Stefanos GritzalisStefanos Gritzalis
Stefanos Gritzalis
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
Society has become increasingly dependent on IT infrastructure and services. Additionally, the pandemic of COVID-19 forced the transition of the traditional way of working (i.e., physical presence) into a more modern and flexible one (i.e., working remotely). This has led to an increase of cyberattacks, as a direct consequence of the increase of the attack surface but subsequently also led to an increased necessity for the protection of information systems. Toward the protection of information systems, cyber insurance is considered as a strategy for risk management, where necessary. Cyber insurance is emerging as an important tool to protect organizations against cyberattack-related losses. In this work, we extensively examine the relevant literature on cybersecurity insurance, research and practice, in order to draft the current landscape and present the trends.

8 June 2020 in Information & Computer Security
Verified
Journal Article
Closed access
ZGZafeiroula Georgiopoulou
Zafeiroula Georgiopoulou
EMEleni-Laskarina Makri
Eleni-Laskarina Makri
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
Purpose: The purpose of this paper is to give a brief guidance on what a cloud provider should consider and what further actions to take to comply with General Data Protection Regulation (GDPR). Design/methodology/approach: This paper presents in detail the requirements for GDPR compliance of cloud computing environments, presents the GDPR roles (data controller and data processor) in a cloud environment and discusses the applicability of GDPR compliance requirements for each cloud architecture (Infrastructure as a Service, Platform as a Service, Software as a Service), proposes countermeasures for satisfying the aforementioned requirements and demonstrates the applicability of the aforementioned requirements and countermeasures to a PaaS environment offering services for building, testing, deploying and managing applications through cloud managed data centers. The applicability of the method has been demonstrated on in a PaaS environment that offers services for building, testing, deploying and managing applications through cloud managed data centers. Findings: The results of the proposed GDPR compliance measures for cloud providers highlight the effort and criticality required from cloud providers to achieve compliance. Originality/value:

17 December 2020 in Information
Verified
Journal Article
Open access
PDF file
Dimitra GeorgiouDimitra Georgiou
Dimitra Georgiou
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
Currently, there are several challenges that cloud-based healthcare systems around the world are facing. The most important issue is to ensure security and privacy, or in other words, to ensure the confidentiality, integrity, and availability of the data. Although the main provisions for data security and privacy were present in the former legal framework for the protection of personal data, the General Data Protection Regulation (GDPR) introduces new concepts and new requirements. In this paper, we present the main changes and the key challenges of the GDPR and, at the same time, we present how a cloud-based security policy could be modified in order to be compliant with the GDPR, as well as how cloud environments can assist developers to build secure and GDPR compliant cloud-based healthcare systems. The major concept of this paper is dual-purpose; primarily, to facilitate cloud providers in comprehending the framework of the new GDPR and secondly, to identify security measures and security policy rules, for the protection of sensitive data in a cloud-based healthcare system, following our risk-based security policy methodology that assesses the associated security risks and takes into account different requirements from patients, hospitals, and various other professional and organizational actors.

1 January 2021 in Computer Science and Information Systems
Verified
Journal Article
Open access
PDF file
CKChristos Kalloniatis
Christos Kalloniatis
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
MMMathias Musahl
Mathias Musahl
Athanasios KanatasAthanasios Kanatas
Athanasios Kanatas
Stefanos GritzalisStefanos Gritzalis
Stefanos Gritzalis
Privacy and Data protection are highly complex issues within eHealth/M-Health systems. These systems should meet specific requirements deriving from the organizations and users, as well as from the variety of legal obligations deriving from GDPR that dictate protection rights of data subjects and responsibilities of data controllers. To address that, this paper proposes a Privacy and Data Protection Framework that provides the appropriate steps so as the proper technical, organizational and procedural measures to be undertaken. The framework, beyond previous literature, supports the combination of privacy by design principles with the newly introduced GDPR requirements in order to create a strong elicitation process for deriving the set of the technical security and privacy requirements that should be addressed. It also proposes a process for validating that the elicited requirements are indeed fulfilling the objectives addressed during the Data Protection Impact Assessment (DPIA), carried out according to the GDPR.

7 March 2021 in Future Internet
Verified
Journal Article
Open access
PDF file
Dimitra GeorgiouDimitra Georgiou
Dimitra Georgiou
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
The General Data Protection Regulation (GDPR) harmonizes personal data protection laws across the European Union, affecting all sectors including the healthcare industry. For processing operations that pose a high risk for data subjects, a Data Protection Impact Assessment (DPIA) is mandatory from May 2018. Taking into account the criticality of the process and the importance of its results, for the protection of the patients’ health data, as well as the complexity involved and the lack of past experience in applying such methodologies in healthcare environments, this paper presents the main steps of a DPIA study and provides guidelines on how to carry them out effectively. To this respect, the Privacy Impact Assessment, Commission Nationale de l’Informatique et des Libertés (PIA-CNIL) methodology has been employed, which is also compliant with the privacy impact assessment tasks described in ISO/IEC 29134:2017. The work presented in this paper focuses on the first two steps of the DPIA methodology and more specifically on the identification of the Purposes of Processing and of the data categories involved in each of them, as well as on the evaluation of the organization’s GDPR compliance level and of the gaps (Gap Analysis) that must be filled-in. The main contribution of this work is the identification of the main organizational and legal requirements that must be fulfilled by the health care organization. This research sets the legal grounds for data processing, according to the GDPR and is highly relevant to any processing of personal data, as it helps to structure the process, as well as be aware of data protection issues and the relevant legislation.

23 November 2010 in Information Management & Computer Security
Verified
Journal Article
Closed access
ATAggeliki Tsohou
Aggeliki Tsohou
SKSpyros Kokolakis
Spyros Kokolakis
CLCOSTAS LAMBRINOUDAKIS
COSTAS LAMBRINOUDAKIS
Stefanos GritzalisStefanos Gritzalis
Stefanos Gritzalis