期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2021
卷号：12
期号：4
页码：1044-1054
DOI：10.21817/indjcse/2021/v12i4/211204232
语种：English
出版社：Engg Journals Publications
摘要：Cloud computing (CC) technology offers proficient exploitation of existing physical resources via virtualization where diverse users share the similar fundamental physical hardware infrastructure. Using the concepts of CC, a set of distributed, scalable, and elastic computing resources are supplied to client through the high-speed Internet. Conventional public key encryption techniques are employed to accomplish data confidentiality, but it could not result in better data sharing. At the same time, attribute-based encryption (ABE) is developed as a significant method in achieving security and establish effective data communication in a simultaneous way. The ABE is a familiar cryptographic technique employed to save the user privacy data in CC. But it is not possible to use in cloud storage because of the computational complexity and decryption key leakage issue. Therefore, this paper presents a novel monarch butterfly optimization with attribute based encryption (MBO-ABE) technique for secure public cloud storage. The presented MBO-ABE technique aims to securely store the data in public cloud storage. ABE purposes to strengthen sensitive data secret in public cloud storage. For improving the security performance of the ABE technique, the MBO manner is applied to it which is based on the migration of monarch butterflies. A wide range of simulations are carried out to highlight the enhanced efficiency of presented MBO-ABE technique. The experimental values showcased that the MBO-ABE technique pointed out the maximum performance of the MBO-ABE technique over the recent state of art methods.
关键词：Attribute based encryption;Public cloud;security;Monarch butterfly optimization;Optimal key generation
