Privacy‐preserving smart data storage for financial industry in cloud computing

Qiu, Meikang; Gai, Keke; Zhao, Hui; Liu, Meiqin

doi:10.1002/cpe.4278

Cited by 22 publications

(8 citation statements)

References 38 publications

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“…One of the major concerns is private leakage that has raised a great restriction for many organizations to execute cloud applications [47]. Likewise, many interviewees expressed their concerns on privacy as shown below:…”

Section: ) Security and Privacymentioning

confidence: 99%

Factors Influencing Cloud Computing Adoption in Saudi Arabia’s Private and Public Organizations: A Qualitative Evaluation

Alanezi¹

2018

ijacsa

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Abstract-CloudComputing is becoming an important tool for improving productivity, efficiency and cost reduction. Hence, the advantages and potential benefits of cloud computing are no longer possible to be ignored by organizations. However, organizations must evaluate factors that influence their decisions before deciding to adopt cloud computing technologies. Many studies have investigated cloud computing adoption in developed countries compared with few studies that have concentrated on examining the factors that influence cloud computing adoption in developing countries. It is not clear to see whether these factors that have been identified by these studies, can be applied in developing countries. The motive of this study is to contribute to the adoption of cloud computing, and to elevate the consciousness of cloud computing technology amongst authorities, researchers, administrators, business enterprise managers and service carriers, particularly within the Saudi Arabian context. This study explores factors that encourage the implementation of cloud or have the capacity to detract from adopting cloud computing in private and public organizations in Saudi Arabia. A qualitative approach through IT professional representatives' interviews was adopted in this study, which explored two categories, namely, a) the negative impact category which includes: security and privacy, government policy, lack of knowledge, and Loss of control; and b) the positive impact category which includes three factors: reduce expenses, improve IT performance, and promote scalability and flexibility.

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Section: ) Security and Privacymentioning

confidence: 99%

Factors Influencing Cloud Computing Adoption in Saudi Arabia’s Private and Public Organizations: A Qualitative Evaluation

Alanezi¹

2018

ijacsa

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“…In a financial context, the wide diffusion of cloud computing has caused an increase in the number of restrictions that financial firms apply to cloud applications 26 . To this aim, many solutions have been proposed and implemented to protect financially sensitive data against unauthorized access 27‐29 .…”

Section: Related Workmentioning

confidence: 99%

Dare‐to‐Share: Collaborative privacy‐preserving recommendations with (almost) no crypto

Russo

Bracciale

Bianchi

2021

Security and Privacy

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Collaborative recommending systems aim to predict a potential user‐item rating on the basis of remaining ones. Since, in several contexts, sharing of other users' ratings may be prevented by confidentiality concerns, several works have effectively addressed the design of privacy preserving recommenders. Still, most of the proposed solutions rely on advanced cryptographic methodologies, whose may conflict with the simplicity and viability requirements of real world deployments. In contrast, we propose an approach which does not require any complex cryptography. We show that whenever we can tolerate recommendations based on average values, we can transform the recommender into a privacy‐preserving one, by using two noncolluding replicas of the same system, and by distributing randomly “blinded” data to these replicas. To protecting each user's rating, a key asset of our approach is the ability to conceal which specific items are rated by which users. Our proposal is secure under the honest‐but‐curious attacker's assumption, and we show how it can be extended to guarantee robustness also against malicious adversaries. Finally, as a proof‐of‐concept, we present an implementation of the proposed approach for our motivating use case—collaborative assessment of computer/network vulnerabilities without revealing which of them affect one own infrastructure.

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“…The proposed model shows the efforts to achieve a balance between privacy and security improvement versus the service provider business model. Qiu et al proposed a Privacy‐Preserving Smart Storage (PS2) model that uses a novel distributed data storage method to prevent financial enterprises from insiders' massive data mining‐based attacks.…”

Section: Themes Of This Special Issuementioning

confidence: 99%