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- Gonzalez-Granadillo, G (author)
Automated Cyber and Privacy Risk Management Toolkit
- Article/chapterEnglish2021
Publisher, publication year, extent ...
- 2021-08-15
- MDPI AG,2021
Numbers
- LIBRIS-ID:oai:prod.swepub.kib.ki.se:147502191
- http://kipublications.ki.se/Default.aspx?queryparsed=id:147502191URI
- https://doi.org/10.3390/s21165493DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Addressing cyber and privacy risks has never been more critical for organisations. 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 life-cycle 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 organisation, as a reference sector that faces critical cyber and privacy threats.
Added entries (persons, corporate bodies, meetings, titles ...)
- Menesidou, SA (author)
- Papamartzivanos, D (author)
- Romeu, R (author)
- Navarro-Llobet, D (author)
- Okoh, C (author)
- Nifakos, SKarolinska Institutet (author)
- Xenakis, C (author)
- Panaousis, E (author)
- Karolinska Institutet (creator_code:org_t)
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- In:Sensors (Basel, Switzerland): MDPI AG21:161424-8220
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