Mean Failure Cost Extension Model towards Security Threats Assessment: A Cloud Computing Case Study

Jouini, Mouna; Rabai, Latifa Ben Arfa

doi:10.17706/jcp.10.3.184-194

Cited by 13 publications

(4 citation statements)

References 5 publications

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“…The client node communicates with the host server via registered cloud server to the host server. In this process, the client server request for a link to the host server via a cloud to exchange data between two nodes [18][19][20]. The best-fit selected path is illustrated in Figure 5.…”

Section: Methodsmentioning

confidence: 99%

Security Measures in Distributed Approach of Cloud Computing

K¹,

Balaraju²,

Ramana³

2018

J Inform Tech Softw Eng

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Cloud computing has given a new approach of data accessing in a distributed manner, where the users has the advantage of higher data accessing feasibility. This approach works on the approach of outsourcing the storage requirements in public provider. The distributed approach has the advantage of low cost data accessing, scalable, location independent and reliable data management. It is observed that Conventional approaches are focused to achieve the objective of reliable and secure data access in cloud computing. However the signaling overhead in these approaches was not explored: in the exchange of control signal in cloud computing, it is needed that lower effort should be made for authentication and data integrity, so as more accessing provision exists. A new monitoring scheme is proposed to minimize the signaling overhead by monitoring record systems. In this paper, security issues also focused. In this process, at each of the data exchange, security risk arises, which are evaluated by different security measure such as Mean failure cost (MFC), and multi dimension failure cost (M2FC) To demonstrate our approach, To develop the suggested objectives, MATLAB interfacing with data feed toolbox was used, Effectiveness of the proposed method has been shown by the experimental results.

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Section: Methodsmentioning

confidence: 99%

Security Measures in Distributed Approach of Cloud Computing

K¹,

Balaraju²,

Ramana³

2018

J Inform Tech Softw Eng

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“…The authors of the paper introduced each method and briefly described the main areas where the methods differ. One of the method was previously described in [28]. The authors of the publication provided readers with cybersecurity metrics especially developed for the cloud computing environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk Assessment Method of Cloud Environment

Zbořil

2022

cai

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Cloud technology usage in nowadays companies constantly grows every year. Moreover, the COVID-19 situation caused even a higher acceleration of cloud adoption. A higher portion of deployed cloud services, however, means also a higher number of exploitable attack vectors. For that reason, risk assessment of the cloud environment plays a significant role for the companies. The target of this paper is to present a risk assessment method specialized in the cloud environment that supports companies with the identification and assessments of the cloud risks. The method itself is based on ISO/IEC 27005 standard and addresses a list of predefined cloud risks. Besides, the paper also presents the risk score calculation definition. The risk assessment method is then applied to an accounting company in a form of a case study. As a result, 24 risks are identified and assessed within the case study where each risk included also exemplary countermeasures. Further, this paper includes a description of the selected cloud risks.

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“…which shows how the entries of the control coverage vector are in linear dependence with the entries of the answer vector. It must be noticed that this matrix approach is rather classic and widely used in the literature [17,18]. e main novelty of our analysis is in the fact that the vector t is not used directly but it is combined with another vector resulting from empirical data.…”

Section: Data-driven Krismentioning

confidence: 99%

A Data-Driven Approach to Cyber Risk Assessment

Santini

Gottardi

Baldi

et al. 2019

Security and Communication Networks

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Cyber risk assessment requires defined and objective methodologies; otherwise, its results cannot be considered reliable. The lack of quantitative data can be dangerous: if the assessment is entirely qualitative, subjectivity will loom large in the process. Too much subjectivity in the risk assessment process can weaken the credibility of the assessment results and compromise risk management programs. On the other hand, obtaining a sufficiently large amount of quantitative data allowing reliable extrapolations and previsions is often hard or even unfeasible. In this paper, we propose and study a quantitative methodology to assess a potential annualized economic loss risk of a company. In particular, our approach only relies on aggregated empirical data, which can be obtained from several sources. We also describe how the method can be applied to real companies, in order to customize the initial data and obtain reliable and specific risk assessments.

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Mean Failure Cost Extension Model towards Security Threats Assessment: A Cloud Computing Case Study

Cited by 13 publications

References 5 publications

Security Measures in Distributed Approach of Cloud Computing

Security Measures in Distributed Approach of Cloud Computing

Risk Assessment Method of Cloud Environment

A Data-Driven Approach to Cyber Risk Assessment

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