FinancialCloud: Open Cloud Framework of Derivative Pricing

Peng, Hsin-Tsung; Hsu, William W. Y.; Chen, Chih‐Hung; Lai, Feipei; Ho, Jan-Ming

doi:10.1109/socialcom.2013.117

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…Prior to presenting the proposed taxonomy, it is worthy to mention that the identification of elements and components of the categorization used is based on the critical review of key literatures in [40][41][42][43][44][45], the preceding section and subsequent sections. This critical review followed the systematic approach proposed by [52]. Some of these studies include standards and proposal documents from academia and industry as well as independent quantitative and qualitative studies conducted by author.…”

Section: Classification Methodologymentioning

confidence: 99%

Taxonomy of Cloud Lock-in Challenges

Opara-Martins¹

2018

Mobile Computing - Technology and Applications

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This chapter reviews key concepts and terminologies needed for understanding the complexity of the vendor lock-in problem being investigated in this book. Firstly, we present aspects of cloud computing that contribute to vendor lock-in and briefly introduce existing results from cloud-related areas of computer science that contributes to understanding and tackling vendor lock-in. Secondly, we explore the literature on proprietary lock-in risks in cloud computing environments to identify its causes (i.e., restrictions), consequences, mitigations strategies, and related challenges faced by enterprise consumers migrating to cloudbased services. Then, we propose taxonomy of cloud lock-in perspectives based on reports of real experiences on migration to understand the overall cloud SaaS migration challenges. Finally, we narrow down to our perspective on cloud lock-in to three main perspectives which takes the use of sound techniques from IS research discipline and cloud-related literature into consideration, to improve the portability, security and interoperability of cloud (and on-premise) applications in hybrid environments. Collectively, the discussions presented herein, accordingly enables both academia and IT practitioners in the cloud computing community to get an overarching view of the process of combating application and data lock-in challenges, and security risks in the cloud.

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Section: Classification Methodologymentioning

confidence: 99%

Taxonomy of Cloud Lock-in Challenges

Opara-Martins¹

2018

Mobile Computing - Technology and Applications

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“…The massive growth is been observed in case of software as a service scenarios. Thus the evaluation of healthcare as a service as demonstrated by A. K. Jha et al [3] and also finance as a service as demonstrated by H. T. Peng et al [4] showcased the modernization of the regular software on cloud away from the contemporary usages. Not alone for the business or commercial spaces, the benefits have also reached to the education domain as well.…”

Section: Introductionmentioning

confidence: 99%

A Two Way Validation Framework for Cloud Storage Security

Jyothi¹,

Indira²

2018

IJET

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High Performance Computing (HPC) has become one of the predominant techniques for processing the large scale applications. Cloud environment has been chosen to provide the required services and to process these high demand applications. Management of such applications challenges us on three major things i.e. network feasibility, computational feasibility and data security. Several research endeavours are focused on network load and computing cloud date and provided better outcomes. Still those approaches are not able to provide standard mechanisms in view of data security. On the other side, research towards enabling the auditing features on the cloud based data by various researchers has been addressed but their performance is poor. However, the complexity of the audit process proven to be the bottleneck in improving performance of the application as it consumes the computational resources of the same application. Henceforth, this work proposes a novel framework for cloud data auditing at multiple levels to audit the access requests and upon validating the conditions of one level, the connection request will be moved to the further complex levels in order to reduce the computational loads. The proposed framework determines a substantial reduction in the computational load on the cloud server, thus improves the application performance leveraging the infrastructure use.

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“…For example, Health informatics can help medical researchers diagnose challenging diseases and cancers [3]. Financial analytics can ensure accurate and fast simulations to be available for investors [4]. Education as a Service improves the quality of education and delivery [5].…”

Section: Introductionmentioning

confidence: 99%

Towards Achieving Data Security with the Cloud Computing Adoption Framework

Chang

Ramachandran

2016

IEEE Trans. Serv. Comput.

250

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Abstract-Offering real-time data security for petabytes of data is important for Cloud Computing. A recent survey on cloud security states that the security of users' data has the highest priority as well as concern. We believe this can only be able to achieve with an approach that is systematic, adoptable and well-structured. Therefore, this paper has developed a framework known as Cloud Computing Adoption Framework (CCAF) which has been customized for securing cloud data. This paper explains the overview, rationale and components in the CCAF to protect data security. CCAF is illustrated by the system design based on the requirements and the implementation demonstrated by the CCAF multi-layered security. Since our Data Center has 10 petabytes of data, there is a huge task to provide real-time protection and quarantine. We use Business Process Modeling Notation (BPMN) to simulate how data is in use. The use of BPMN simulation allows us to evaluate the chosen security performances before actual implementation. Results show that the time to take control of security breach can take between 50 and 125 hours. This means that additional security is required to ensure all data is well-protected in the crucial 125 hours. This paper has also demonstrated that CCAF multi-layered security can protect data in real-time and it has three layers of security: 1) firewall and access control; 2) identity management and intrusion prevention and 3) convergent encryption. To validate CCAF, this paper has undertaken two sets of ethical-hacking experiments involved with penetration testing with 10,000 trojans and viruses. The CCAF multi-layered security can block 9,919 viruses and trojans which can be destroyed in seconds and the remaining ones can be quarantined or isolated. The experiments show although the percentage of blocking can decrease for continuous injection of viruses and trojans, 97.43% of them can be quarantined. Our CCAF multi-layered security has an average of 20% better performance than the single-layered approach which could only block 7,438 viruses and trojans. CCAF can be more effective when combined with BPMN simulation to evaluate security process and penetrating testing results.

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FinancialCloud: Open Cloud Framework of Derivative Pricing

Cited by 7 publications

References 10 publications

Taxonomy of Cloud Lock-in Challenges

Taxonomy of Cloud Lock-in Challenges

A Two Way Validation Framework for Cloud Storage Security

Towards Achieving Data Security with the Cloud Computing Adoption Framework

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