Journal:Automated cyber and privacy risk management toolkit
Full article title | Automated cyber and privacy risk management toolkit |
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Journal | Sensors |
Author(s) | Gonzalez-Granadillo, Gustavo; Menesidou, Sofia A.; Papamartzivanos, Dimitrious; Romeu, Roman; Navarro-Llobet, Diana; Okoh, Caxton; Nifakos, Sokratis; Xenakis, Christos; Panaousis, Emmanouil |
Author affiliation(s) | Atos Spain, UBITECH Ltd., Fundació Privada Hospital Asil de Granollers, University of Greenwich, Karolinska Institutet Department of Learning, Informatics, Management and Ethics, University of Piraeus |
Primary contact | Email: gustavo dot gonzalez at atos dot net |
Editors | Mylonas, Alexios; Pitropakis, Nikolaos |
Year published | 2021 |
Volume and issue | 21(16) |
Article # | 5493 |
DOI | 10.3390/s21165493 |
ISSN | 1424-8220 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://www.mdpi.com/1424-8220/21/16/5493/htm |
Download | https://www.mdpi.com/1424-8220/21/16/5493/pdf (PDF) |
This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
Addressing cyber and privacy risks has never been more critical for organizations. While a number of risk assessment methodologies and software tools are available, it is most often the case that one must, at least, integrate them into a holistic approach that combines several appropriate risk sources as input to risk mitigation tools. In addition, cyber risk assessment primarily investigates cyber risks as the consequence of vulnerabilities and threats that threaten assets of the investigated infrastructure. In fact, cyber risk assessment is decoupled from privacy impact assessment, which aims to detect privacy-specific threats and assess the degree of compliance with data protection legislation. Furthermore, a privacy impact assessment (PIA) is conducted in a proactive manner during the design phase of a system, combining processing activities and their inter-dependencies with assets, vulnerabilities, real-time threats and personally identifiable information (PII) that may occur during the dynamic lifecycle of systems.
In this paper, we propose a cyber and privacy risk management toolkit, called AMBIENT (Automated Cyber and Privacy Risk Management Toolkit) that addresses the above challenges by implementing and integrating three distinct software tools. AMBIENT not only assesses cyber and privacy risks in a thorough and automated manner, but it also offers decision-support capabilities to recommend optimal safeguards using the well-known repository of the Center for Internet Security (CIS) Controls. To the best of our knowledge, AMBIENT is the first toolkit in the academic literature that brings together the aforementioned capabilities. To demonstrate its use, we have created a case scenario based on information about cyber attacks we have received from a healthcare organization, as a reference sector that faces critical cyber and privacy threats.
Keywords: toolkit, cybersecurity, privacy, risk assessment, risk control, healthcare
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