Artificial Intelligence and Blockchain Based Optimized and Fair Payment Scheme over Cloud Computing System


  • Renato R. Maaliw III Southern Luzon State University, Lucban, Quezon, Philippines
  • Sheshang Degadwala Sigma Institute of Engineering, Engineering Block, Sigma Group of Institutes, Ajwa Nimeta Road, Bakrol, Vadodara, Gujarat 390019, India



Artificial Intelligence, Cloud System, Blockchain, Markle Algorithm, Payment Methods


An increasing number of data owners (DOs) are opting to move their data to the cloud due to the advent of the cloud storage paradigm. The cloud storage data integrity verification approach is often adopted by the DO in order to guarantee the integrity of 
the data that it stores in the cloud. In a pay-as-you-go cloud environment, DOs must pay additional costs to a third-party validator (TPA) for carrying out verification procedures, on top of the rates they must pay to cloud service providers. But TPA isn't totally reliable in the integrity verification itself. To address the untrustworthy issue of TPA and achieve service payment fairness, a data integrity verification method that promotes privacy protection and equitable payment is suggested. In order to achieve data location integrity verification and verifiable dynamic data updating, a new kind of data authentication structure called a Merkle hash tree based on hierarchy is first introduced; second, an Interactive Dynamic Data Integrity Proof Mechanism (NIDPDP) is introduced to acknowledge data privacy protection and minimize communication overhead. In order to ensure that all parties really adhere to the regulations that are enforced, smart contracts (SCs) in conjunction with blockchain technology are utilized to accomplish equitable service payment between DO, cloud 
storage servers (CSS), and TPA. The approach may successfully secure user data privacy, achieve fair payment, and have lower computational and communication overhead, as demonstrated by performance analysis and trials.