Aug 2026· International journal of computer information systems and industrial management applications· 0 citations
TL;DR
The findings indicate that unifying adaptive privacy preservation with decentralized integrity auditing yields a more complete cloud-security posture than either mechanism alone, and the paper outlines the empirical validation, including full-scale testbed experiments, required before deployment.
Abstract
Cloud computing has become the backbone of modern distributed data management, offering scalable storage and on-demand analytics to healthcare, financial, educational, and government organizations. However, two security requirements are frequently addressed in isolation in the literature: preserving the privacy of sensitive attributes during analytical processing, and guaranteeing that outsourced data remains unmodified and verifiable while it resides with an untrusted cloud service provider. This paper analyzes two complementary cloud-security paradigms adaptive differential privacy for perturbation-based confidentiality and blockchain-assisted third-party auditing for tamper-evident integrity verification and proposes a unified Blockchain-Assisted Adaptive Differential Privacy (BA-ADP) framework that integrates both into a single secure cloud data-management pipeline. The proposed framework performs sensitivity-aware adaptive noise generation to protect data confidentiality during analytics, applies lightweight encryption and access control during storage and transmission, and simultaneously anchors SHA-256 integrity hashes of every data block on a blockchain ledger that is verified through smart-contract-automated third-party auditing. This dual-layer design allows a cloud system to resist inference, linkage, and reconstruction attacks on the privacy side while resisting tampering, single-point-of-failure, and collusion risks on the integrity side, without requiring two independent security subsystems. Drawing on previously reported component-level results 96.1% privacy-protection efficiency with 3.8% leakage probability for the adaptive differential-privacy layer, and 97.4% integrity-verification accuracy with a 96.8% tampering-detection rate for the blockchain-assisted auditing layer this paper presents an architectural synthesis, a security analysis, and a discussion of the expected computational trade-offs of combining both mechanisms. The findings indicate that unifying adaptive privacy preservation with decentralized integrity auditing yields a more complete cloud-security posture than either mechanism alone, and the paper outlines the empirical validation, including full-scale testbed experiments, required before deployment.
This paper proposes EPPCDS, an efficient privacy-preserving cloud data sharing scheme with blockchain-assisted access control and periodic integrity checking, and demonstrates that it outperforms representative existing schemes in terms of policy creation, policy update, and data access efficiency.
This paper introduces Data Communities as a novel paradigm for privacy-preserving, blockchain-enabled cooperative digital infrastructures, formalized within the Cooperative Digital Infrastructure (CDI) framework and formalizes privacy guarantees through an adversarial model encompassing classical, quantum, insider, and governance-level threats.
The Internet of Vehicles (IoV) is evolving into a distributed electronic sensing and communication infrastructure in which vehicles, roadside units, and service platforms continuously exchange data for intelligent transportation services. However, cross-organization sharing of vehicle-borne sensing data can expose identity links, location traces, task routes, and raw sensor content. This paper proposes BAPPS, a Blockchain-Assisted Privacy-Preserving Sharing Scheme for Secure Data Exchange in the Internet of Vehicles. BAPPS combines anonymous identity issuance, zk-SNARK-based data-quality verification, elliptic-curve proxy re-encryption, and on-chain audit records. Data owners can prove that encrypted observations satisfy task-specific quality or access constraints without disclosing raw data, while a semi-honest service provider transforms ciphertexts only under authorization. The consortium blockchain records task publication, access verification, proof submission, and data-hash evidence, enabling traceable sharing without exposing plaintext observations. We further implement a Tendermint-style BFT consensus layer, denoted BAPPS-T, to reduce confirmation latency in the data-sharing workflow. Using the three available real Tendermint benchmark workbooks as repeated records, BAPPS-T achieved a mean consensus latency of 776.3 ms at 100 nodes (SD = 80.8 ms, n = 3, 95% CI = 575.5–977.1 ms), corresponding to a 90.17% latency reduction relative to Baseline 1. The results indicate that BAPPS can provide a reproducible protocol layer for trusted, privacy-aware sharing of mobile electronics observations under explicit deployment assumptions.
Lin Wang, Ke Chen, Fangxiao Li et al.· Electronics· 0 citations
This research introduces a novel Unified Quantum-Resilient Blockchain-Zero Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF), which provides strong security and privacy solutions for Internet of Things networks by adopting multi-factor authentication and decentralizing identity management.
Uzma Shereen, Lubna Nausheen· American Journal of AI Cyber...· 0 citations
This systematic literature review (SLR) investigates the role of blockchain technology in achieving secure decentralized cloud storage. This review synthesizes evidence from 65 peer-reviewed publications (2018–2025) addressing security mechanisms, consensus protocols, privacy-preserving techniques, and scalability challenges in blockchain-enabled decentralized storage systems. Thematic analysis identified four primary focus areas: (1) Security Mechanisms including cryptographic foundations, consensus-based verification, and smart-contract-enabled access control; (2) Consensus Protocols and their performance-security tradeoffs; (3) Privacy-Preserving Techniques addressing the transparency-confidentiality tension; and (4) Technical Challenges including scalability, energy consumption, and regulatory conflicts. Evidence synthesis reveals that while blockchain-based approaches are commonly reported to improve security and auditability compared to centralized cloud storage, methodological limitations and lack of real-world deployments constrain definitive effectiveness claims. This review contributes by: (a) systematically documenting blockchain's technical mechanisms for storage security; (b) identifying critical deployment barriers and their theoretical bases; (c) clarifying the privacy-security tradeoff landscape; and (d) directing future research toward empirical validation and production-ready implementations. The study recommends future research on hybrid blockchain architectures, energy-efficient consensus algorithms, advanced privacy techniques, and more empirical validations to overcome these limitations and promote real-world adoption.
Kamaluddeen Musa Yashi, Isah Muhammad Alhassan, Aminu Adamu Ahmed· Center of Computer Science· 0 citations
This research presents a novel decentralized identity management system leveraging Ethereum smart contracts and cryptographic protocols to enable self-sovereign digital identities and introduces a privacy-preserving mechanism using encryption-key splitting among trusted peers to enable recovery of encrypted off-chain data.
Harika Naidu Beesabathuni· International Journal of Int...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
