An Enhanced Cloud Storage Auditing Approach Using Boneh-Lynn-Shacham’s Signature and Automatic Blocker Protocol
Teeb Hussein Hadi, Juliet Kadum, Qusay Kanaan Kadhim, Shaymaa Taha Ahmed · Ingénierie des systèmes d information · 2024
Cloud computing technique enables consumers to benefit from online data storage services.Despite all the benefits of cloud computing, users cannot physically access external data, which makes protecting the privacy of data stored there much more crucial.In addition to allaying users' worries about not being able to confirm the accuracy of their cloud data, this will enable them to switch from local storage to the cloud.This made cloud customers reliant on Third-Party Auditors (TPA) to confirm the accuracy of cloud data because public cloud storage auditing is one of these crucial components.However, this audit process shouldn't introduce any security holes in the privacy of consumers' data or put them under undue Internet stress.There should be a capability to improve the TPA's dependability and safeguard the confidentiality of customer data stored in the cloud.This paper suggests a powerful public cloud data auditing users can confirm the authenticity of a signer using a cryptographic signature mechanism based on the Boneh-Lynn-Shacham (BLS) signature.To provide data privacy and public auditing, the system uses a bilinear pairing for verification.Signatures are components of an elliptic curve group.The suggested approach also implements batch audits and dynamic data processing.Additionally, the proposed system strengthens security authentication making use of the Automatic Blocker Protocol (ABP), a system-wide automatic blocker of any unauthorized unit.The system verifies the specific parameters, confirms the correct TPA protocol, and stops the unauthorized TPA when the client configures the parameters.The suggested approach is more effective, making it exceedingly safe and secure.The proposed method used the Berka data set, which compiles financial data from a Czech bank.Approximately 1,000,000 transactions involving over 5,300 bank clients are handled by the dataset.Furthermore, the dataset describes the almost 700 loans and nearly 900 credit cards that the bank represented in the dataset has extended and issued.As a result, the rate of cloud data auditing was 99% accuracy.