Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Alessandro Mazzoccoli"'
Publikováno v:
Risks, Vol 11, Iss 10, p 167 (2023)
Correlation in cyber risk represents an additional source of concern for utility and industrial infrastructures, where risks may be introduced by connected systems. A major means of reducing risk is to transfer it through insurance. In this paper, we
Externí odkaz:
https://doaj.org/article/4d937851e2ee45baa7acdeff30b9ee1c
Autor:
Alessandro Mazzoccoli
Publikováno v:
Risks, Vol 11, Iss 9, p 154 (2023)
Cyber security importance has escalated globally, driven by its pivotal role in shaping daily life, encompassing both personal and non-personal aspects. Cyber security breach probability functions play a crucial role in comprehending how cyber securi
Externí odkaz:
https://doaj.org/article/20813f94c3734eac9ef76c8b0ff79739
Autor:
Alessandro Mazzoccoli, Maurizio Naldi
Publikováno v:
Risks, Vol 10, Iss 11, p 220 (2022)
Cybersecurity breach probability functions describe how cybersecurity investments impact the actual vulnerability to cyberattacks through the probability of success of the attack. They essentially use mathematical models to make cyber-risk management
Externí odkaz:
https://doaj.org/article/dae25b9894dc41c5ab1ac289ac5bfbfb
Autor:
Alessandro Mazzoccoli, Maurizio Naldi
Publikováno v:
Algorithms, Vol 15, Iss 6, p 211 (2022)
In the context of growing vulnerabilities, cyber-risk management cannot rely on a one-off approach, instead calling for a continuous re-assessment of the risk and adaptation of risk management strategies. Under the mixed investment–insurance approa
Externí odkaz:
https://doaj.org/article/1668be0dc54741228e41fb121ae57179
Autor:
Alessandro Mazzoccoli, Maurizio Naldi
Publikováno v:
Risks, Vol 9, Iss 1, p 24 (2021)
Investments in security and cyber-insurance are two cyber-risk management strategies that can be employed together to optimize the overall security expense. In this paper, we provide a closed form for the optimal investment under a full set of insura
Externí odkaz:
https://doaj.org/article/f78902d82d6d4f6b838ac7ba3d69a05b
Autor:
Alessandro Mazzoccoli, Maurizio Naldi
Publikováno v:
Algorithms, Vol 13, Iss 5, p 116 (2020)
The expected utility principle is often used to compute the insurance premium through a second-order approximation of the expected value of the utility of losses. We investigate the impact of using a more accurate approximation based on the fourth-or
Externí odkaz:
https://doaj.org/article/b4e616d4fc0a4476a9c41f4779f72aab
Publikováno v:
Future Internet, Vol 11, Iss 7, p 142 (2019)
Service Level Agreements are employed to set availability commitments in cloud services. When a violation occurs as in an outage, cloud providers may be called to compensate customers for the losses incurred. Such compensation may be so large as to e
Externí odkaz:
https://doaj.org/article/2e5428bb055142979a048d1183d3bb64
Publikováno v:
Journal of Risk and Financial Management; Volume 15; Issue 10; Pages: 463
The use of clouds to store personal or company data and run programmes is gaining wide acceptance, thanks to its promise of higher efficiency and cost reduction. However, cloud services may not always be available. Their unavailability leads to losse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c90e345b90b6e847c4b716744a9f6d6
https://hdl.handle.net/11590/420007
https://hdl.handle.net/11590/420007
Publikováno v:
Privacy Technologies and Policy ISBN: 9783030551957
APF
APF
Current anonymization techniques for statistical databases exhibit significant limitations, related to the utility-privacy trade-off, the introduction of artefacts, and the vulnerability to correlation. We propose an anonymization technique based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e6836f419139e6f558eff90728accfd
https://hdl.handle.net/11590/420487
https://hdl.handle.net/11590/420487
Publikováno v:
SSRN Electronic Journal.
In this paper we exploit the wavelet analysis approach to investigate oil-food price correlation and its determinants in the domains of time and frequency. Wavelet analysis is able to differentiate high frequency from low frequency movements which co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a1e81abd6389c286a1069d07e3cc40
https://doi.org/10.2139/ssrn.3925504
https://doi.org/10.2139/ssrn.3925504