scholarly journals CSCCRA: A Novel Quantitative Risk Assessment Model for Cloud Service Providers

Author(s):  
Olusola Akinrolabu ◽  
Steve New ◽  
Andrew Martin
Computers ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 66
Author(s):  
Olusola Akinrolabu ◽  
Steve New ◽  
Andrew Martin

Security and privacy concerns represent a significant hindrance to the widespread adoption of cloud computing services. While cloud adoption mitigates some of the existing information technology (IT) risks, research shows that it introduces a new set of security risks linked to multi-tenancy, supply chain and system complexity. Assessing and managing cloud risks can be a challenge, even for cloud service providers (CSPs), due to the increased numbers of parties, devices and applications involved in cloud service delivery. The limited visibility of security controls down the supply chain, further exacerbates this risk assessment challenge. As such, we propose the Cloud Supply Chain Cyber Risk Assessment (CSCCRA) model, a quantitative risk assessment model which is supported by supplier security posture assessment and supply chain mapping. Using the CSCCRA model, we assess the risk of a SaaS application, mapping its supply chain, identifying weak links in the chain, evaluating its security risks and presenting the risk value in monetary terms (£), with this, promoting cost-effective risk mitigation and optimal risk prioritisation. We later apply the Core Unified Risk Framework (CURF) in comparing the CSCCRA model with already established methods, as part of evaluating its completeness.


2013 ◽  
Vol 19 (3) ◽  
pp. 521-527 ◽  
Author(s):  
Song YANG ◽  
Shuqin WU ◽  
Ningqiu LI ◽  
Cunbin SHI ◽  
Guocheng DENG ◽  
...  

2001 ◽  
Vol 127 (2) ◽  
pp. 195-206 ◽  
Author(s):  
E. HARTNETT ◽  
L. KELLY ◽  
D. NEWELL ◽  
M. WOOLDRIDGE ◽  
G. GETTINBY

A quantitative risk assessment model investigating the risk of human infection with campylobacter from the consumption of chicken meat/products is currently being formulated. Here such an approach is used to evaluate the probability that a random bird, selected at slaughter from Great Britain's national poultry flock, will be campylobacter-positive. This is determined from the probability that a flock chosen at random contains at least one colonized bird and the within-flock prevalence of such a flock at slaughter. The model indicates that the probability bird chosen at random being campylobacter-positive at slaughter is 0·53. This probability value has associated uncertainty, the 5th percentile being 0·51 and the 95th percentile 0·55. The model predicts that delaying the age at first exposure to campylobacter can have a significant impact on reducing the probability of a bird being campylobacter-positive at slaughter. However, implementation of current biosecurity methods makes this difficult to achieve.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 80812-80826
Author(s):  
Abdul Razaque ◽  
Fathi Amsaad ◽  
Salim Hariri ◽  
Marwah Almasri ◽  
Syed S. Rizvi ◽  
...  

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