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@article{203990,
        author = {Gauri Bobade and Prasad Koyande and Pradeep Shirke and Sunil Dodake},
        title = {A Survey on Identity-Based, Blockchain-Assisted, and Adaptive Data Integrity Auditing for Cloud Storage},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2511-2517},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203990},
        abstract = {In the past decade, the advent of cloud storage has changed how individuals and businesses handle their data; however, outsourcing critical data to third-party physical infrastructure raises concerns about integrity, privacy, reliability and accountability of that data. Methods such as Remote Data Integrity Checking (RDIC), Provable Data Possession (PDP), Proof of Retrievability (PoR) and privacy-preserving public auditing have all developed as popular means for verifying integrity of offsite data without having to download the complete file. Initially, Research on auditing of offsite data was based on traditional public-key methods. As research continued, it shifted to identity-based methods which reduced the burden of certificates. The next avenue of research is blockchain-aided auditing systems that allow for transparency in the audit process as well as provide the ability to prove that an audit occurred and was not tampered with. Finally, adaptations of existing auditing methods have resulted in new, faster techniques for detecting breaches of integrity through intelligent anomaly detection. This paper synthesizes the awakening research results to create a unified view of all past research. In addition, this paper proposes a classification system that categorizes auditing protocols into four levels: traditional auditing protocols (with or without identity), blockchain-aided audit protocols, adaptive audit protocols and intelligent audit protocols. The auditing methods will be compared and contrasted on six major categories: privacy, verifiability, support for dynamic data, decentralised audit procedures, overhead costs and audit transparency and audit responsiveness to attacks. The paper concludes with discussing several unresolved research challenges which include developing cloud auditing methods that assume a 'zero trust' model e.g., multi-cloud environments, methods for explainable anomaly detection, developing a means for interoperable auditing layers and developing a standardised means for the evaluation of all types of auditing systems across the entire body of literature. This effort is intended to provide a sound basis for performing trustworthy intelligent and scalable data integrity verification in a cloud environment in the near future.},
        keywords = {Cloud storage, data integrity auditing, RDIC, PDP, PoR, identity-based cryptography, blockchain auditing, anomaly detection, zero-trust cloud security, multi-cloud auditing.},
        month = {June},
        }