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Research on cloud computing user privacy protection based on dynamic adaptive ant colony algorithm

Research on cloud computing user privacy protection based on dynamic adaptive ant colony algorithm 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Autonomous and Adaptive Communications Systems Inderscience Publishers

Research on cloud computing user privacy protection based on dynamic adaptive ant colony algorithm

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1754-8632
eISSN
1754-8640
DOI
10.1504/IJAACS.2020.109813
Publisher site
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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.

Journal

International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers

Published: Jan 1, 2020

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