Research on cloud computing user privacy protection based on dynamic adaptive ant colony algorithm Online publication date: Thu, 24-Sep-2020
by Jie Yu
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 13, No. 2, 2020
Abstract: In order to overcome the problems of long encryption time and poor security of traditional cloud computing user privacy protection methods, this paper proposes a cloud computing user privacy protection method based on dynamic adaptive ant colony algorithm. In this method, the dynamic adaptive ant colony algorithm (DAACA) is used to realise highly adaptive encryption transmission of information. Combining identity-based public encryption (IBE) with secret sharing strategy and IBE, we adopt corresponding threshold strategy for untrusted cloud computing service providers to reduce the threat of data leakage brought by a single untrusted service provider, and authorise the identity information of cloud computing users through authorising the identity information of cloud computing users through data providers. The experimental results show that the proposed method can effectively reduce the encryption time and improve the security of the whole system.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Autonomous and Adaptive Communications Systems (IJAACS):
Login with your Inderscience username and 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