Title: Research on cloud computing user privacy protection based on dynamic adaptive ant colony algorithm
Authors: Jie Yu
Addresses: Zibo Vocational Institute, Zibo, Shandong, 255000, China
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.
Keywords: DAACA; dynamic adaptive ant colony algorithm; cloud computing; user privacy protection; IBE; identity-based public encryption; the encryption time.
International Journal of Autonomous and Adaptive Communications Systems, 2020 Vol.13 No.2, pp.178 - 194
Received: 09 Aug 2019
Accepted: 17 Jan 2020
Published online: 24 Sep 2020 *