An Integrated Cuckoo AES Key Generationapproach with Bilinear Pairing to Detect Malicious Third-Party Auditors in the Cloud

Abstract

To handle huge amounts of data, either a single user or organization are depending
on the cloud environment but security to their data is the major concern that the cloud service
provider has to take care of in the public clouds during the process of outsourcing. So, the
cloud environments have deployed a component known as “Third Party Auditor”, which
verifies the data in the cloud and ensures that the data is not tampered with by the attackers.
While interacting with the public cloud, every user has a period known as the “verification
period”, during which the user can raise the data challenge task to the auditor. In general, the
data uploaded by the user are divided into various blocks or segments. Hence, to verify a
single user data the auditors have to generate multiple integrity reports and should check their
consistency. If TPA detects any inconsistent data, then it has the right to reject the process
and notifies the same user but the major problem is TPA works simultaneously with more
users because of which the verification process becomes a burden to the TPA. If the system is
overloaded with more verification requests then the cost of computing in the cloud increases
and the time to check the data integrity also increases which results in compromise by the
TPA. So, to address this issue many researchers have proposed integrity verification
algorithms but most of them suffer from many design issues like resource allocations, relay
time decisions, and time consumption hence the proposed system has implementeda cuckoo
algorithm integrated with AES to generate the keys and performs bilinear map functions to
repair and audit within an optimal time