New Findings in Risk Management Described from Technical University (Adversarial Risk Analysis to Allocate Optimal Defense Resources for Protecting Cyber-Physical Systems from Cyber Attacks)

2019 AUG 30 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Risk Management. According to news reporting originating from Milan, Italy, by NewsRx correspondents, research stated, “Defenders have to enforce defense strategies by taking decisions on allocation of resources to protect the integrity and survivability of cyber-physical systems (CPSs) from intentional and malicious cyber attacks.”

Our news editors obtained a quote from the research from Technical University, “In this work, we propose an adversarial risk analysis approach to provide a novel one-sided prescriptive support strategy for the defender to optimize the defensive resource allocation, based on a subjective expected utility model, in which the decisions of the adversaries are uncertain. This increases confidence in cyber security through robustness of CPS protection actions against uncertain malicious threats compared with prescriptions provided by a classical defend-attack game-theoretical approach.”

According to the news editors, the research concluded: “We present the approach and the results of its application to a nuclear CPS, specifically the digital instrumentation and control system of the advanced lead-cooled fast reactor European demonstrator.”

For more information on this research see: Adversarial Risk Analysis to Allocate Optimal Defense Resources for Protecting Cyber-Physical Systems from Cyber Attacks. Risk Analysis, 2019;():. Risk Analysis can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Risk Analysis - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

The news editors report that additional information may be obtained by contacting F. Di Maio, Technical University, Dept. of Energy, Via La Masa 34, I-20156 Milan, Italy. Additional authors for this research include W. Wang and E. Zio.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/risa.13382. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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