A Trust Based Approach for Increasing Security in Cloud Computing Infrastructure

Banirostam, H.; Hedayati, Alireza; Zadeh, Ahmad Khadem; Shamsinezhad, E.

doi:10.1109/uksim.2013.39

Cited by 25 publications

(10 citation statements)

References 2 publications

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“…To make the infrastructure secure TCCI approach is proposed which handles the nodes by third party known as Trusted Coordinator (TC). [9] In this paper to share the important data in public cloud securely mediated certificate less encryption scheme is used. This method is used to solve the problem of escrow in identity based and revocation in public key.…”

Section: Materials and Methodologymentioning

confidence: 99%

Data Integrity Verification in Cloud Computing

Gupta¹

2017

IOSR JCE

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Section: Materials and Methodologymentioning

confidence: 99%

Data Integrity Verification in Cloud Computing

Gupta¹

2017

IOSR JCE

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“…Banirostam et al [13] presented a trust-based approach using trusted computing (TC) which is applied only at the IaaS layer, and as mentioned earlier a cloud end-user also wants security mechanisms configured across the layers of a cloud platform to enable the end-user make a more informed decision. Yang et al [14] proposed data access control mechanism but the security considerations were not sufficient.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy logic approach to modelling trust in cloud computing

Sule

Taylor

et al. 2017

IET cyber-phys. syst.

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“…Hamid Banirostam et.al [14] described one new approach named Trusted Cloud Computing Infrastructure (TCCI) which was based on Infrastructure security. TCCI approach describes that different nodes are required to run on secure environment so to keep hackers away.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Design and Implementation of Secure Multi-Authentication Data Storage in Cloud using Machine Learning Data Classification

Singh¹,

Bala²,

Kaur³

2017

IJCA

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Cloud computing offers numerous benefits including scalability, availability and many services. But with its wide acceptance all over the globe, new risks and vulnerabilities have appeared too. Cloud computing supplies facility of storing and accessing understanding and programs over the web without bothering the storage space on procedure. Storing the data on cloud eliminates one's worries about space considerations, buying new storage equipment or managing their data, rather they are able to access their data any time from any place provided they have internet access. However, the rising security issues have resisted the companies from connecting with cloud computing fully. Hence security risks have appeared as the main disadvantage of cloud computing. This paper involves the efforts to research the security risk and then proposes a framework to address these risk on the authentication and storage level in cloud computing. While addressing the security issues the first and the foremost thing is to classify what data needs security and what data needn't bother with security and hence data gets classified into two classes sensitive and non-sensitive. To achieve data classification, a data classification approach based on the confidentiality of data is proposed in this paper. Following that an efficient security mechanism must be deployed by means of encryption, authentication, and authorization or by some enhanced means of security techniques to ensure the privacy of data on cloud storage.

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A Trust Based Approach for Increasing Security in Cloud Computing Infrastructure

Cited by 25 publications

References 2 publications

Data Integrity Verification in Cloud Computing

Data Integrity Verification in Cloud Computing

Fuzzy logic approach to modelling trust in cloud computing

Design and Implementation of Secure Multi-Authentication Data Storage in Cloud using Machine Learning Data Classification

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