This article presents a novel framework for decentralized artificial intelligence model training that combines federated learning with blockchain technology in cloud environments. By integrating these cutting-edge technologies, the article addresses critical challenges in collaborative AI development, including data privacy, secure model sharing, and participant incentivization. The article framework leverages Zero Knowledge Proofs (ZKPs) for enhanced privacy guarantees while utilizing blockchain-based smart contracts to ensure transparent and automated governance of the training process. The implementation demonstrates significant improvements in data transfer efficiency, privacy preservation, system reliability, and participant diversity compared to traditional centralized approaches. The results validate the effectiveness of combining federated learning with blockchain technology for secure, scalable, and efficient distributed AI model training.
Mohd Anjum, Naoufel Kraïem, Hong Min, Ashit Kumar Dutta · 6 authors
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to offer patient/user-related services that are ubiquitous and personalized. The authorized repository stores ubiquitous data for which access-level securities are granted. These security measures ensure that only authorized entities can access patient/user health information, preventing unauthorized entries and data downloads. However, recent sophisticated security and privacy attacks such as data breaches, data integrity issues, and data collusion have raised concerns in the healthcare industry. As healthcare data grows, conventional solutions often fail due to scalability concerns, causing inefficiencies and delays. This is especially true for multi-key authentication. Dependence on conventional access control systems leads to security flaws and authorization errors caused by static user behaviour models. This article introduces an Opportunistic Access Control Scheme (OACS) for leveraging access-level security. This approach is a defendable access control scheme in which the user permissions are based on their requirement and data. After accessing the healthcare record, a centralized IoT security augmentation and assessment is provided. The blockchain records determine and revoke the access grant based on previous access and delegation sequences. This scheme analyses the possible delegation methods for providing precise users with interrupt-free healthcare record access. The blockchain recommendations are analyzed using a trained learning paradigm to provide further access and denials. The proposed method reduces false rates by 11.74%, increases access rates by 13.1%, speeds up access and processing by 12.36% and 13.23%, respectively, and reduces failure rates by 9.94%. The OACS decreases false rates by 10.64%, processing time by 15.62%, and failure rates by 10.95%.
Blockchain-empowered end-edge collaborative computing is a promising technology for enhancing the timeliness and trustworthiness of Industrial Internet of Things (IIoT). However, integrating task offloading with blockchain consensus inevitably escalates resource consumption across communication, computation, and energy domains. Thus, the joint optimization of task offloading, resource allocation and blockchain consensus is very important for IIoT. This paper studies a general end-edge collaborative computing scenario with multiple end devices and multiple edge servers. We first propose a novel dynamic blockchain (DBC) scheme by developing a dynamic leader election mechanism and designing a dynamic consensus waiting time window. Then, by fully considering the constraints of multi-task size and deadline, communication bandwidth, computing frequency, battery capacity, Byzantine fault tolerant and trustworthiness, we formulate the trustworthy processing efficiency (TPE) maximization problem with respect to end-edge task division, communication and computation resource allocation, leader election and consensus waiting window. To address this problem, we transform it into a Markov decision process and design a compound reward by fully considering the penalty for computing timeout and consensus failure. After that, we propose a rotating multi-agent deep reinforcement learning (R-MADRL) algorithm tailored to the proposed DBC scheme, where an entropy-based dual-critic DRL algorithm is proposed for rotating multi-agent training and decentralized execution. Extensive experiments validate the effectiveness and superiority of the proposed DBC with R-MADRL, where three benchmark DRL algorithms and three blockchain consensus schemes are compared. The results demonstrate that R-MADRL achieves stable convergence with more than 60.32% TPE reward than other algorithms while the task timeout ratio of DBC is reduced by more than 66.49% compared with other schemes.
This article explores blockchain technology's transformative role in ensuring data integrity and security across modern enterprise systems. The article examines the fundamental architecture of blockchain security, emphasizing distributed ledger technology, consensus mechanisms, and cryptographic foundations that collectively create an immutable and transparent system. The article investigation delves into core security features, including the implementation of advanced cryptographic techniques, decentralization strategies, and innovative security protocols that protect against various cyber threats. Through detailed analysis of industry applications, the article demonstrates blockchain's impact across financial services, supply chain management, healthcare, and IoT sectors, highlighting significant improvements in operational efficiency, security, and cost reduction. The article further evaluates implementation benefits, encompassing operational advantages, economic impacts, and technical improvements that organizations experience through blockchain adoption. Finally, the article addresses future implications and challenges, including technology integration hurdles, regulatory considerations, and scalability solutions, providing insights into the evolving landscape of enterprise blockchain implementation.
A. Raji Reddy, K. Jayasurya, Papisetty Pavan Kalyan
The rapid adoption of e-learning has raised concerns about online exam security, transparency, and scalability. We introduce DeCentralEx, a decentralized hybrid system that verifies blockchain-based smart contracts and stores them in encrypted cloud storage for secure and rapid scrutiny. It reduces on-chain data dependencies by using Ethereum smart contracts for decentralized role validation and Firebase Firestore for AES-encrypted questions and answers. Thus, DeCentralEx addresses the drawbacks of blockchain models, which have high gas fees, latency, and low concurrency. Its deployment and testing on the Sepolia testnet show good tamper resistance, secure data handling, and automatic result processing. Compared to entirely blockchain-based systems, its hybrid architecture, with a calibrated design, offers great scalability and prevents disruptions during periods of high demand. Comparative performance testing reveals that DeCentralEx strikes a balance between security, affordability, and scalability. Such testing confirmed its capacity to handle high concurrency with low gas usage compared to on-chain solutions. The study's aims were confirmed, proving an implementable and pragmatic approach for online exam security. Zero-knowledge proofs and Layer 2 blockchain technology could boost efficiency and decentralization. Decentralized architecture has the potential to transform digital testing environments in academic institutions worldwide.
The certificate system is essential for academic organizations to provide proof of study or the level of skills and education. However, simply providing a physical cert or a virtual cert can be easily forged, and it will be difficult to be verified and authenticated. Many techniques are proposed to protect certificate’s authenticity such as Digital Watermarking Technology, RSA Digital Signature. Furthermore, there are also Blockchain approaches such as integration of existing system and private blockchain. However, those systems have weaknesses such as the vulnerability to be cracked and efficiency in verification of the certificate. The aim of this research is to provide a system that is capable of securing certificate authenticity from activities of certificate fraud. In this research, we proposed a blockchain e-certificate system for academic organization and public to issue and verify e-certificate with a simple web-based user interface. By combining the advantages of using decentralized ledger for key information and utilize IPFS to store the certificate file, it can solve the problem of the vulnerability of the existing system.
The cryptocurrency wallet security has been among the hot issues concerning its adoption. It hinders most users and government from adopting crypto-market. There are several security issues reported by the study such as scams, hacks, and theft in digital coins particularly cryptocurrency. This study has deployed literature review techniques to bring awareness on the frequently used vulnerabilities and to suggest the way to mitigate and prevent such vulnerabilities. Numerous methodologies suggested by prior-literatures has been used to mitigate, detect, and prevent any security threats towards crypto-wallet. The study has found that the cryptocurrency wallet is subjected to several attacks which are born by the general internet protocols loopholes, those attacks born by the presence of security vulnerabilities awareness, and those attacks resulted from the nature of blockchain systems. Several users have been victimized by the scammers, hackers, and fake investment schemes due to lack of knowledge base concerning security vulnerabilities. This study recommends the usage of several security policies to combat those vulnerabilities which include usage of Insurance policies, Security scans policies, and deployment of AI systems to mitigate any security vulnerabilities.
Cellular networking is advancing as a wireless technology to support diverse applications in vehicular communication, enabling vehicles to interact with various applications to enhance the driving experience, even when managed by different authorities. Security Credential Management System (SCMS) is the Public Key Infrastructure (PKI) for vehicular networking and the state-of-the-art distributed PKI to protect the privacy-preserving vehicular networking against an honest-but-curious authority using multiple authorities and to decentralize the trust management. We build a Blockchain-Based Trust Management (BBTM) to provide even greater decentralization and security. Specifically, BBTM uses the blockchain to 1) replace the existing Policy Generator (PG), 2) manage the policy of each authority in SCMS, 3) aggregate the Global Certificate Chain File (GCCF), and 4) provide greater accountability and transparency on the aforementioned functionalities. We implement BBTM on Hyperledger Fabric using a smart contract for experimentation and analyses. Our experiments show that BBTM is lightweight in processing, efficient management in the certificate chain and ledger size, supports a bandwidth of multiple transactions per second, and provides validated end-entities.
Chien‐Ming Chen, Yiru Hao, Saru Kumari, Mohammed Amoon
Transportation Cyber-Physical System (T-CPS) is a pivotal technology for advancing Intelligent Transportation System, integrating physical transportation infrastructure with network technology and computational algorithms. This integration facilitates real-time road condition monitoring, accurate traffic forecasting, and efficient traffic management to reduce congestion and enhance safety. However, relying on public channels for data transmission in T-CPS exposes it to numerous security threats. Addressing these challenges, this paper proposes an intelligence blockchain-based lightweight authentication protocol to enhance the security and trustworthiness of Intelligent Transportation System. The protocol is designed to resist common attacks, such as capture attacks and insider privileged personnel attacks, ensuring secure vehicle communication. Through rigorous Real-Or-Random model formal proofs, the security properties of the protocol are validated. Furthermore, the efficiency of the protocol is demonstrated, showing its lightweight nature and security robustness. This work represents a significant step toward secure, reliable, and efficient communication in vehicular networks, paving the way for more robust T-CPS applications, including autonomous driving and real-time traffic management.
Blockchain is a decentralized digital ledger that records transactions across a distributed network of computers, enabling secure and transparent operations without requiring trust in a central authority. While initially developed for Bitcoin, blockchain technology now underpins many cryptocurrencies and other applications. It serves as an open trust layer without central reliance and is widely used in cryptocurrencies such as Bitcoin and Ethereum. However, this public and permanent open storage has raised concerns about its potential misuse for illegal trades or the distribution of unwanted content. In EuroS&P 2017, Ateniese et al. introduced the concept of the redactable blockchain, which utilizes the trapdoor collision function provided by chameleon hash to rewrite block contents without causing hashing inconsistencies. Recent research has continued to propose solutions for redactable blockchains, leveraging cryptographic algorithms such as chameleon hash and attribute-based encryption (ABE). Current solutions often employ sophisticated cryptographic schemes, such as ABE, but lack sufficient focus on developing secure and scalable solution for practical use. In this work, we propose the time-verifiable policy-based chameleon hash (TPCH) as a candidate solution for practical redaction to rewrite blockchain contents. Our solution for redactable blockchains enables the verification of whether a redaction was executed at a specific time, thereby offering time-based traceability for dominant algorithms in TPCH. Additionally, it restricts misbehavior or abuse of redaction powers by introducing a new trapdoor finding algorithm, Update, in addition to the adapt algorithm Adapt. We formally introduce TPCH with both black-box and white-box constructions. Our experimental and theoretical analysis demonstrates the feasibility and practicality of the proposed solution.
Cloud computing enables on-demand access to a shared pool of configurable resources following a pay-per-use model. Cloud storage offers unlimited data storage, secure data access, and efficient backups. To ensure data confidentiality in the cloud, a symmetric encryption method is used. A key challenge is ensuring the secure sharing of the symmetric key with users. Various approaches have been proposed to address this issue, with the polynomial secret sharing method being one of the most widely utilized techniques. In this approach, the secret key is divided into “n” shares and the user needs at least “t” shares to reconstruct the key. The correctness of the reconstructed key is verified by decrypting the encrypted data; successful decryption confirms the key’s accuracy, while failure indicates otherwise. Validating key shares before reconstruction is essential, as reconstruction involves significant computational effort. Therefore, an efficient approach ensures that shares are validated prior to reconstruction. This paper proposes a polynomial-based symmetric key sharing scheme with cheater detection, designed for a cloud environment using blockchain technology. The key shares are distributed and stored among “n” miners in the blockchain network. To reconstruct the key, at least “t” miners must respond with their respective key shares. Before reconstruction, the key shares are validated using a tag-based approach. The suggested secret sharing scheme is implemented through the deployment of Ethereum smart contracts, and a cost analysis of the functions of the deployed contract is also presented.
Permissioned blockchains play a significant role in various application scenarios. Applications built on heterogeneous permissioned blockchains need to migrate data from one chain to another, aiming to keep their competitiveness and security. Thus, data migration across heterogeneous chains is a building block of permissioned blockchains. However, existing data migration protocols across heterogeneous chains are rarely used in practice since data migration technologies are insecure. To this end, we propose a data migration protocol across permissioned blockchains, namedDataFly. We design apeg consensus mechanism, which provides consistent data-migration functionality between any two permissioned blockchains. To preserve the confidentiality of data, we invoke two classical cryptographic methods, i.e., i) ECDSA feature and ii) theintegrated signature and public key encryptionscheme. Through combining those two methods, data can be securely migrated from one permissioned blockchain to another without exposing the migrated data to anyone except associated parties. To demonstrate the practicality ofDataFly, we implement a prototype ofDataFlyusing existing popular permissioned blockchains, i.e., Hyperledger Fabric and private enterprise Ethereum. Measurement results demonstrate thatDataFlyoutperforms related works in terms of transaction latency and gas costs.
These challenges were further amplified in recent years, causing recruitment processes to be more transparent in aspects like education, work experience, and professional verification. Traditional methods of validating credentials - contacting institutions or employers directly - can be time-consuming, mistake-prone and susceptible to fraud. Blockchain technology offers a solution that can assist in the digitization of credential verification, enabling employers to rapidly and securely verify a candidate's credentials. This paper explores blockchain use in talent acquisition and verification of credentials, highlighting its game-changing potential for the hiring process. Blockchain is a distributed and immutable digital ledger in which data cannot be altered once it has been entered, providing a high degree of trust and transparency. Blockchain technology enables educational institutions, employers and other credentialing bodies to issue verified digital credentials that are securely stored and can be easily presented to employers. One of the emerging trends is Verified CVs verified on blockchain based solutions, candidates can represent their validated qualifications on blockchain based solutions and employers can have instant access for any information regarding educational qualifications, certifications, experience regarding employments and skills related information. The blockchain based approach in the proposed credential verification process is because all the session information or credentials would be stored in a secured block so that respective academic institutions or bodies and their employers can verify using the cryptographic signatures as mentioned earlier. Each credential is identifiable and stored on the blockchain, which means that the record cannot be tampered with and can be verified from any interested party with valid access rights. As a result, they can also save time as smart contracts allow these individuals to execute the agreed-upon terms, provided certain conditions are satisfied, and avoid the need for intermediaries to obtain validated information. The key benefit of verification on blockchain is time and money. Verifying the authenticity of an employee goes through traditional checks like background checks and manual verification processes that take days or weeks which means a delay in hiring and increased costs of operation.
The proliferation of counterfeit academic certificates has engendered unethical practices, thereby depriving meritorious candidates of potential opportunities; this situation subsequently renders conventional document ver- ification methodologies ineffective due to their inherent time-consuming nature, high costs, and susceptibility to manipulation. In response to these pressing challenges, this paper advocates for a blockchain-based decentralized document verification framework that leverages the InterPlanetary File System (IPFS) and Ethereum blockchain, thereby enhancing security, transparency, and operational efficiency. The system adheres to a meticulously struc- tured methodology whereby applicants initially submit their credentials, which are subsequently authenticated by educational institutions prior to their storage within the IPFS for decentralized file management; concurrently, only the hash of these credentials is retained on the blockchain, effectively reducing costs and augmenting scalability. To assess the system’s efficacy, it was subjected to rigorous testing employing multiple concurrent mechanisms, including Proof of Work, Proof of Stake, and Practical Byzantine Fault Tolerance, with findings demonstrating that Proof of Stake offers the most optimal equilibrium between velocity and security. The prototype that was developed showcased significant improvements, with verification accuracy, reduced the processing time also minimized the manual effort, furthermore, making the process significantly more efficient than traditional methods. Furthermore, the system accomplished a transaction throughput of 1000 transactions per second, accompanied by an average confirmation time of 5 seconds, thus significantly enhancing operational efficiency for employers and institutions engaged in credential verification. Additionally, a thorough comparative analysis was conducted against traditional methodologies concerning security, processing velocity, and cost-effectiveness, ensuring validation through tamper- proof mechanisms and the mitigation of fraud risks associated with certificates. This research not only bolsters the reliability of document verification but also lays the groundwork for future advancements, including cross-chain integration, AI-driven fraud detection systems, and mobile-based verification applications, all of which aspire to further optimize efficiency and accessibility within academic credential verification processes.
Blockchain authentication is a technique for confirming the integrity and validity of data. Blockchain is a decentralized and distributed ledger system that was first created as the foundational technology for cryptocurrencies like Bitcoin. Data is maintained in a sequence of blocks, each of which contains transaction data and a cryptographic hash of the block before it.
The difficulties with existing certificate verification systems are often expensive, time-consuming, and vulnerable to fraud addressed in this study. The professional and academic credentials are significant proof of a person’s qualifications, but its centralized design of existing systems enables the data manipulation feasible and affects the security. The proposed method producing and ensuring the digital academic credentials utilizes the permissioned Ethereum blockchain platform to provide a decentralized, secured, and impenetrable system. Blockchain technology ensures certificate integrity and authenticity by eliminating a central authority. Employers and stakeholders can securely evaluate university credentials through a decentralized web application. This system eliminates verification delays and fraud, making certificate management more effective and efficient. Additionally, other certificate types include a pertaining to ownership or identity that added to the system. Overall, the proposed blockchain-based method improves the speed and dependability of credential verification procedures by offers a scalable and safe substitute for conventional certificate verification methods.
Qingyang Zhang, Shuai Qian, Jie Cui, Hong Zhong · 6 authors
Ensuring cloud data security and reducing cloud storage costs have become particularly important. Many schemes expose user file ownership privacy when deduplicating authentication tags and during integrity auditing. Moreover, key management becomes more difficult as the number of files increases. Also, many audit schemes rely on third-party auditors (TPAs), but finding a fully trustworthy TPA is challenging. Therefore, we propose a blockchain-based integrity audit scheme supporting data deduplication. It protects file tag privacy during deduplication of ciphertexts and authentication tags, safeguards audit proof privacy, and effectively protects user file ownership privacy. To reduce key management costs, we introduce identity-based broadcast encryption (IBBE) that does not require interaction with key servers, eliminating additional communication costs. Additionally, we use smart contracts for integrity auditing, eliminating the need for a fully trusted TPA. We evaluate the proposed scheme through security and theoretical analyses and a series of experiments, demonstrating its efficiency and practicality.
Manivannan Senthil Velmurugan, C. K. Shinzeer, G. Maya, R. Ramya · 6 authors
Data breaches, identity theft, and the lack of user control within traditional digital identity management systems, it begs a more secure and decentralized alternative. In this study we propose a blockchain based digital identity management framework that implements privacy, security and transparency by employing distributed ledger technology. To provide tamper proof identity storage and automated verification, the proposed model uses cryptographic hashing and smart contracts. The use of a novel token-based access mechanism enables users to safely share their identity data with third parties, while keeping sensitive information out of sight. Security metrics are enhanced by 30% for data integrity with 45% reduction in unauthorized access attempts all through simulations. The framework also achieves improved efficiency reducing identity verification time by 40 percent compared to traditional systems. It offers a promising approach to address important vulnerabilities in centralized identity management in line with the development of marketable and user-friendly digital identity solutions.
For developing and less-developed countries, the e-governance system is highly helpful. The public mostly uses the e-governance system; thus, security is highly required. In prevailing studies, the security enhancement of the e-governance cloud application was concentrated. However, a security shortage issue was presented. To solve this issue, this study proposes ETCC-centric secure data storage in e-governance cloud applications. Primarily, the user registers into the server by utilizing their username and password. Next, only the location-matched users are permitted to access the server. Then, the public and private keys are generated by the key generation. Subsequently, by utilizing user behavior extraction, important behavior selection by BMFKO and prediction by ANOVA-based PA-ChatGPT, the trust is analyzed. The predicted abnormal behavior user is blocked. Next, the normal behavior user is permitted to upload and download the data. The data is securely stored by the proposed ETCC technique. The Beta Delegated Proof of Stake (BDPoS) technique considers blockchain for enhancing security. Authorized data user downloads the data and decrypts it with their private key. Based on performance measures, the proposed techniques are analogized with the prevailing techniques in experimental analysis. The security level attained by the proposed technique is 99.2%.
As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. The traditional perimeter-based security models are inadequate for addressing the dynamic and distributed nature of fog networks, leaving them vulnerable to unauthorized access, data tampering, and latency issues. Therefore, this paper proposes a novel security framework that integrates blockchain (BC) and software-defined network (SDN) technologies, underpinned by zero-trust (ZT) principles, to address these challenges in latency-sensitive healthcare environments. The proposed framework enhances security by combining BC’s immutable transaction logs for data integrity and traceability with SDN’s dynamic network reconfiguration for real-time access control and anomaly detection. The integration of BC and SDN supports continuous authentication and monitoring using cryptographic protocols (SHA-256A and RSA-2048) to secure data transmission. Additionally, tasks are dynamically allocated to fog nodes based on a multi-metric scheduling mechanism that considers fog node capacity, proximity, and compliance with predefined security protocols. The framework was evaluated using iFogSim, simulating a healthcare environment with 50 IoT devices, 10 fog nodes, and varying workloads (100–1000 tasks/min). The key evaluation performance metrics include intrusion detection rate (IDR), data integrity (DI), task completion rate (TCR), average task response time (ART), and average block time. The implementation results demonstrate satisfactory improvements compared to existing models: a 40% increase in IDR, a 30% enhancement in DI, a 15.29% rise in TCR, and a 39.66% reduction in ART. Moreover, the baseline IDR (85%) and DI (70%) were drawn from ZT-1, while TCR (85%) and ART (300 ms) were measured using ZT-2 as benchmarks. These findings illustrate the feasibility of integrating BC, SDN, and ZT principles to mitigate threats such as unauthorized access, data tampering, and delays in latency-sensitive tasks.
In the current digital landscape, secure, efficient, and decentralized systems to manage sensitive data are crucial. TrustChain, a private blockchain framework, addresses these needs by enabling secure data exchange among verified users. This research investigates developing and deploying a private blockchain platform to facilitate secure data sharing within a decentralized peer-to-peer (P2P) network. Unlike public blockchains, this system restricts access to authorized participants, enhancing security and network management. The study evaluated the blockchain system with 3-node and 10-node configurations, focusing on data synchronization efficiency and latency. Asymmetric encryption (RSA) was used to ensure message confidentiality and integrity. Testing revealed insights into the system's scalability and security, demonstrating stability and efficient data synchronization with low latency. However, the system lacks transaction processing capabilities, making it unsuitable for financial applications but robust for secure data transfers. The architecture provides a foundation for enhancements, potentially expanding into secure messaging and file sharing. The research concludes that private blockchain technology is effective for secure data transfers, suitable for applications prioritizing secure communication over financial transactions. Future work could integrate transaction capabilities. The findings suggest TrustChain's potential applicability in sectors like healthcare, finance, and supply chain management, where secure data exchange is critical. This study underscores the importance of scalability and robust data management in blockchain systems, particularly for real-time applications, and highlights the need for efficient and reliable blockchain solutions in data-sensitive industries.
Juan Minango, Henry Carvajal Mora, Marcelo Zambrano, Nathaly Orozco Garzón · 5 authors
This paper evaluates the technical feasibility of Distributed Ledger Technology (DLT) within the healthcare ecosystem, with a focus on the use of Corda DLT to enhance governance and performance in a decentralized ecosystem, ensuring data integrity, security, and trustworthiness. Key attributes examined include the guarantee of data integrity, ensuring that transmitted data remain unaltered; authenticity through the implementation of digital signatures and certificates; confidentiality achieved via secure peer-to-peer communication accessible only to authorized parties; and traceability and auditing mechanisms that enable tracking of information changes and accountability. To validate these features, a Corda Distributed Application (CorDapp) was developed to manage the core logic of the healthcare ecosystem. The CorDapp was deployed across nodes and executed within the Corda network. Its performance was assessed using metrics such as throughput, latency, CPU usage, and memory consumption in both local and cloud network environments. Results demonstrate the feasibility of using Corda DLT technology in healthcare, effectively addressing critical requirements such as integrity, authenticity, confidentiality, traceability, and auditing while maintaining satisfactory performance across diverse deployment scenarios.
The increasing adoption of multi-cloud database systems has transformed enterprise data management, enabling enhanced scalability, reliability, and cost efficiency.However, managing databases across multiple cloud providers introduces significant challenges, including data fragmentation, latency, security vulnerabilities, and inconsistencies in synchronization.Traditional approaches to database management struggle to provide seamless interoperability, fault tolerance, and resilience against failures, necessitating innovative architectural solutions.This paper explores the design and implementation of resilient multicloud database systems, integrating Distributed Ledger Technology (DLT) for enhanced data integrity, fault tolerance mechanisms to ensure high availability, and cross-platform synchronization techniques for maintaining consistency across heterogeneous cloud environments.DLT, particularly blockchain, offers a decentralized approach to data validation, reducing the risk of tampering and unauthorized modifications while enabling transparent and auditable transactions.Fault tolerance strategies, including redundancy, self-healing systems, and predictive analytics, play a crucial role in mitigating system failures and ensuring business continuity.Additionally, cross-platform synchronization mechanisms, such as conflict-free replicated data types (CRDTs) and real-time consistency protocols, are explored to address latency and data consistency challenges across cloud infrastructures.By integrating these technologies, organizations can enhance the resilience, security, and operational efficiency of multi-cloud database architectures.This paper provides a comprehensive framework for implementing adaptive database management solutions, leveraging AI-driven automation, blockchain-based security, and advanced fault recovery models.The findings highlight best practices for enterprises aiming to achieve scalable, reliable, and fault-tolerant multi-cloud database environments.Future research directions include the role of edge computing in multi-cloud synchronization, quantum-safe cryptographic techniques for DLT security, and AI-driven predictive failure management in cloud-native databases.