A secure cloud data storage combining DNA structure and multi-aspect time-integrated cut-off potential

Abstract

Confidentiality and authentication enable cloud storage server to prove that it is storing owner’s data honestly. However, most of the constructions suffer from special update techniques and the issue of a complex data modification, which might hinder the deployment of confidentiality and authentication in practice. In this regard, we propose a DNA-based Multi-aspect Cut-off Potential (DNA-MACP) framework, by making use of DNA-based Watson–Crick–Hoogsteen and Time-Integrated Cut-off Potential to reduce the time complexity for establishing data confidentiality and space complexity by managing one-time password. Based on the intractability of the tertiary triples, a secure confidential data transaction is designed for cloud storage, where the user authentication scheme is utilised to deal with the improper data modification problem. The DNA-MACP framework enhances the authentication level of security by using both confidentiality and authentication techniques from the unauthorised user modification. The DNA-MACP framework with extensive security analysis and implementation results in reducing both time and space complexities in the business data transactions in a cloud environment.