Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

Tchernykh, Andrei; Schwiegelsohn, Uwe; Talbi, El‐Ghazali; Babenko, Mikhail

doi:10.1016/j.jocs.2016.11.011

Cited by 126 publications

(50 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This research instrument uses closed question types. The research instrument using the previous research questionnaire that is divided into four dimensions, namely: a) Security Risk [31], [32], [36], b) Availability Risk [11], c) Performance Risk [30] and d) Compliance Risk [34].…”

Section: Research Methods and Materialsmentioning

confidence: 99%

“…Availability risk is a condition of unavailability of the system or the failure of hardware components so incapable of recovering services on time [11]. Availability risk encompasses inadequate capacity management, ICT system failures, inadequate IT continuity and disaster recovery planning, disruptive and destructive cyber-attacks, institution factors and controls [33].…”

Section: B Perceived Riskmentioning

confidence: 99%

“…According to Tchernykh et al [11] and Nguyen & Huyunh [8] the condition is because the public feel the potential for high risk due to unpreparedness of vendors to meet the needs of the main resources in adopting FinTech. In addition, people are reluctant to use FinTech products or services due to the low involvement of service providers when critical constraints occur to their users [12].…”

mentioning

confidence: 99%

See 2 more Smart Citations

The Perceived Risk Factors of Fintech in Indonesia

Fernando,

Kusumastuti,

Touriano

2019

IJRTE

View full text Add to dashboard Cite

The objective of this study was to observe the factors causing the high perceived risk of using FinTech products or services in Indonesia based on four main dimensions of risk that have been developed [1]. Qualitative method is used to reveal the holistic symptoms of the main dimension of perceived risk and public accountant in 499 Public Accounting Firm in Indonesia as a research population, while sampling method using a convenience sampling method. The data analysis procedure uses the data quality test following a statistical description. The findings obtained from this study is that availability risk is a major factor underlying the high perceived risk of FinTech products or services in Indonesia.

show abstract

Section: Research Methods and Materialsmentioning

confidence: 99%

Section: B Perceived Riskmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

The Perceived Risk Factors of Fintech in Indonesia

Fernando,

Kusumastuti,

Touriano

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“… возможность восстановить данные в случае потери некоторых частей за счет избыточного кодирования [30];  возможность коррекции ошибок, позволяющей отследить изменение данных в результате диверсии или повреждения, за счет избыточного кодирования [6];  возможность использования СОК в качестве основы для схемы разделения секрета [5].…”

Section: система остаточных классов и схемы разделения секретаunclassified

Secure and Reliable Data Transmission Over MANET Based On Principles of Computationally Secure Secret Sharing

Chervyakov¹,

Deryabin²,

Nazarov³

et al. 2019

Proceedings of ISP RAS

View full text Add to dashboard Cite

Mobile Ad-Hoc Networks (MANET) require special approaches to the design and selection of data transmission and security algorithms Nodes mobility and dynamic topology give rise to two key problems of MANET-the difficulty of ensuring confidentiality when transmitting data through a network and the complexity of organizing reliable data transfer. This paper proposes a new approach to organizing data transfer through MANET, based on node disjoint multipath routing and modular coding of data. Distributed modular coding allows the use of secret-sharing schemes to ensure confidentiality on the one hand and reliable coding on the other hand. In this paper, a Computationally Secure Secret Sharing Scheme based on the Residue Number System is used, which ensures the confidentiality of data and the reliability of their transmission. Such an approach also allows for balancing the network loading.

show abstract

“…Moreover, in the case of data parallel applications that require massive data and computations, performance fluctuations could also result in a severe load imbalance across Virtual Machines (VM) (see Calzarossa et al (2003); Della Vedova et al (2016b). Since all these uncertainties have a direct impact on resource provisioning and scheduling decisions, it is important to identify the various types of uncertainty and their sources -see Jamshidi et al (2016); Tchernykh et al (2016) for their classification. In addition, these phenomena need to be taken into account before their effects appear, that is, prior to the application execution.…”

Section: Introductionmentioning

confidence: 99%

A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty

Calzarossa

Vedova

Tessera

2019

Future Generation Computer Systems

View full text Add to dashboard Cite

Data parallel applications are being extensively deployed in cloud environments because of the possibility of dynamically provisioning storage and computation resources. To identify cost-effective solutions that satisfy the desired service levels, resource provisioning and scheduling play a critical role. Nevertheless, the unpredictable behavior of cloud performance makes the estimation of the resources actually needed quite complex. In this paper we propose a provisioning and scheduling framework that explicitly tackles uncertainties and performance variability of the cloud infrastructure and of the workload. This framework allows cloud users to estimate in advance, i.e., prior to the actual execution of the applications, the resource settings that cope with uncertainty. We formulate an optimization problem where the characteristics not perfectly known or affected by uncertain phenomena are represented as random variables modeled by the corresponding probability distributions. Provisioning and scheduling decisions-while optimizing various metrics, such as monetary leasing costs of cloud resources and application execution timetake fully account of uncertainties encountered in cloud environments. To test our

show abstract

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

Cited by 126 publications

References 22 publications

The Perceived Risk Factors of Fintech in Indonesia

The Perceived Risk Factors of Fintech in Indonesia

Secure and Reliable Data Transmission Over MANET Based On Principles of Computationally Secure Secret Sharing

A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty

Contact Info

Product

Resources

About