An effective secure data retrieval approach using trust evaluation: HBSEE-CBC
by Rosy Swami; Prodipto Das
International Journal of Information and Communication Technology (IJICT), Vol. 17, No. 4, 2020

Abstract: In recent times, secret data are outsourced into the cloud to a great extent. But, for the security and privacy of the data, it is essential to encrypt the data. Since search using encrypted query is very difficult, hence, facilitating an encrypted data searching scheme is supreme prominence. Though many efficient encryption algorithms are utilised, still it has some issues like increased encryption, decryption and key-generation time. An effective secure data retrieval approach (HSBEE-CBC) is introduced in this work, to avoid these issues. Here, the data are encrypted using elliptic curve cryptography (ECC) algorithm. The encrypted data are clustered using cosine based clustering (CBC) and transferred to the server. For improving the security, trust is evaluated for the user who intends to retrieve the information. After evaluating the trust, the data is decrypted in order to retrieve it. The performance of the HSBEE-CBC is analysed and compared with traditional approaches.

Online publication date: Thu, 29-Oct-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com