T J E N N I N G, Kalokhe Omkar Nanabhau, Takale Ram Arjun, Borge Akash Sandip
The proliferation of digital documents and academic credentials in today's interconnected world has created both opportunities and vulnerabilities. Traditional certificate issuance and storage mechanisms are highly susceptible to forgery, duplication, and unauthorized manipulation, undermining the trustworthiness of academic and professional qualifications. To address these challenges, this research proposes a blockchain-based certificate generation and verification system that ensures transparency, immutability, and trust across stakeholders. Leveraging distributed ledger technology, the system securely records certificate metadata and unique identifiers, enabling real-time, tamper-proof validation without reliance on intermediaries. The architecture integrates modern web technologies such as Next.js for frontend and backend services, MongoDB for scalable storage, JWT for authentication, and cryptographic techniques including bcrypt for enhanced security. Additionally, smart contracts deployed on Ethereum/Ganache enable decentralized storage and validation, while certificate data is simultaneously linked with non-fungible tokens (NFTs) to provide verifiable ownership and authenticity. This integration not only eliminates certificate fraud but also facilitates seamless verification across institutions, employers, and regulatory authorities. By combining blockchain's decentralized security with user-friendly web applications, the proposed approach aims to create a globally interoperable, cost-effective, and future-ready framework for academic and professional certification systems.
In this paper, we presented BlockShare, a blockchain-based system developed to facilitate privacy-preserving data sharing across decentralized networks. The proposed system enables users to retain control over their sensitive data while enabling secure, verifiable sharing with authorized parties.We implemented an authenticated data structure (ADS) to support decentralized verification and utilized zero-knowledge proof mechanisms to validate conditions without exposing the underlying data. Experimental analysis demonstrated that BlockShare performs efficiently in constructing data structures, generating proofs, and verifying them with minimal computational overhead. The platform successfully reduced privacy risks and enhanced trust in cross-organization data exchanges.
Farhad Asgarov, Fatih Said Duran, Namig Samadov, Şerif Bahtıyar
Cite this article as: F. Asgarov, F. S. Duran, N. Samadov and Ş. Bahtiyar, “Blockchain based ownership and DNS configuration with ethereum rollups,”Electrica, 25, 0051, doi: 10.5152/electrica.2025.25005.
Abstract Organizations increasingly require secure document management with integrity guarantees beyond traditional audit logs, particularly in regulated industries where external accountability is critical. While blockchain technologies provide strong tamper-detection, they present significant enterprise adoption challenges including cost volatility, low throughput, and unpredictable operational expenses. This thesis proposes a Centralized Ledger System (CLS) that provides blockchain-inspired integrity verification through self-hosted architecture without external dependencies. The system implements a three-phase entry lifecycle, signature collection and verification, supporting multi-party transactions with asynchronous workflows. A multi-ledger architecture enables organizational segregation of business domains while maintaining referential integrity. Key contributions include automated receipt generation for independent verification, selective payload erasure preserving cryptographic validation, entry linking for audit simplification, and integration of security services with two-factor authentication and key management. The modular design enables flexible deployment while maintaining cryptographic guarantees equivalent to blockchain systems. The solution addresses the gap between traditional audit systems and distributed ledgers by providing cost-predictable, vendor-independent functionality that integrates into existing workflows without specialized blockchain expertise.
The Verification and Validation of Certificate Using Blockchain system is designed to provide a secure, transparent, and tamper-proof mechanism for issuing and verifying educational and professional certificates. Traditional verification methods are often prone to forgery, delays, and administrative inefficiencies due to centralized databases and manual validation. This system leverages blockchain technology to store certificate data in an immutable distributed ledger, ensuring authenticity and preventing manipulation. Additionally, the integration of the InterPlanetary File System (IPFS) provides decentralized, lowcost storage for certificates, while an Android-based interface simplifies issuance and verification processes. By enabling decentralized trust, rapid verification, and cross-border accessibility, this system enhances transparency, reduces fraudulent activities, and establishes a reliable digital framework for secure credential management
In today’s educational landscape the proliferation of forged or manipulated student certificates undermines trust in academic credentials. This paper presents a blockchain-based solution for issuing and validating student certificates by recording cryptographic hashes of credential metadata on a distributed ledger and optionally storing full certificate files off-chain. Smart contracts govern issuance and verification, eliminating intermediaries and enabling instant, tamper-proof checks. The proposed system enhances transparency and integrity, reduces verification overhead, and empowers students and employers with direct access to credential authenticity. Challenges such as scalability, privacy of student data, cost of transactions, and institutional adoption are discussed with suggestions for future work.
Polygon Chain Development Kit (CDK) Validium is a Layer 2 blockchain scaling solution that processes transactions off-chain. It uses Polygon’s distinctive approach to Zero-Knowledge Proofs (ZKPs) implemented within their Zero-Knowledge Ethereum Virtual Machine (zkEVM). A key factor in its successful deployment is robustness, ensuring that users can trust their transactions will be processed accurately and promptly. This research concerns developing robust validation methodologies and comprehensive testing strategies targeting the “double-spending” problem within Polygon CDK Validium. We indicate theoretical scenarios where double-spending vulnerabilities could arise in Polygon CDK Validium by identifying how execution errors can combine with a specific category of flawed constraints to create vulnerabilities. When combined with what we classify as Invalid PIL Constraints For EVM Specification Vulnerabilities (IPCFESV), these errors can trigger problematic behaviours. We further illustrate how erroneous behaviour resulting from IPCFESV can lead to cascading involvement in withdrawal operations resulting in irreversible cross-layer double-spending. We also illustrate how a protocol anti-censorship mechanism bypasses standard validation checks, thereby intensifying reliance on constraint correctness. We then propose ways to determine the correct behaviour. We propose a method to utilise Polygon’s integration testing framework for generating execution traces for de-facto ERC-20 fungible token standard. The outcomes of this study will form the foundational basis for the subsequent development of practical testing and verification methods for Polygon CDK Validium. Implementation and empirical validation remain as future work.
Luiz Eduardo Folly de Campos, Reinaldo Cézar de Morais Gomes
Trust on the internet is an essential pillar for online interactions, and blockchain technologies offer a new paradigm of trust based on data integrity and decentralization, enabling innovative solutions such as theWeb3 applications. This paper presents the experimental infrastructure for blockchain research and development currently being built within the ILIADA project at RNP, and its use for the development of new Web3 applications.
Cloud infrastructure refers to the dynamic provisioning of computing resources over the internet, enabling scalable and flexible enterprise operations. However, such environments face significant security challenges, particularly in access management. Cloud infrastructure delivers scalable computing resources, yet traditional Identity and Access Management (IAM) mechanisms face challenges such as centralized control, misconfigurations, and limited auditability. This study addresses these challenges by proposing a Hyperledger Fabric-based decentralized access control framework integrated with Amazon Web Services (AWS) for healthcare data security. The framework employs Zero Knowledge Proof (ZKP) for identity validation, Ciphertext Policy Attribute Based Encryption (CP- ABE) with Proxy Re-Encryption (PRE) for fine-grained data access, and machine learning driven anomaly detection for continuous monitoring. Experimental evaluation achieved throughput of 15000 transactions per second, latency of 350 milliseconds, privacy preservation up to 99.1 percent, and anomaly detection accuracy of 99.63 percent, surpassing prior models significantly. Storage analysis demonstrated predictable scalability with encrypted medical records up to 20 MB, while token revocation time remained within 1.9 seconds under network stress. The results confirm that blockchain-based access control enhances security, privacy, and auditability while maintaining operational efficiency. This research establishes a scalable and tamper-resistant model for secure healthcare data management in cloud environments.
Cloud storage uses proofs of ownership to avoid redundant uploads while keeping file contents secret. Many existing schemes need extra round trips, or rely on predictable sampling. These choices reduce security when an adversary knows part of the file. We present MiS-PoW, a zero knowledge and non-interactive proof of ownership. The protocol derives a synchronized challenge seed from the existing HTTPS/TLS session. The seed binds a discretized time window and the file identifier. Both parties compute the same challenges locally, and the protocol adds no new messages. MiS-PoW samples blocks with a stratified policy without duplicates. The policy enforces coverage across partitions and reduces the advantage of contiguous knowledge and near duplicate files. The proof layer uses STARKs with simple AIR constraints. The constraints check that indices come from the seed, lie in range, are unique, and meet per partition counts. We analyze security and show seed unpredictability, resistance to replay, and bounds under partial knowledge with limited grinding. A prototype shows that verification time does not grow with file size, and proof and bandwidth costs remain modest. MiS-PoW is deployable, privacy preserving, and scalable for cloud storage.
Esther Uzoka, Bisola Akeju, Olumide Kumuyi, David Excel Ozowara
The Framework for Data Governance and Compliance Across Distributed Multicloud Infrastructures provides a comprehensive model for managing data integrity, privacy, and regulatory alignment in increasingly complex hybrid and multicloud environments. As organizations adopt distributed computing to enhance scalability, resilience, and performance, they face significant challenges in maintaining consistent governance across heterogeneous platforms operated by multiple providers. This framework establishes a unified governance architecture that integrates policy-based orchestration, automated compliance auditing, and federated identity management to ensure data sovereignty, accountability, and interoperability across diverse cloud ecosystems.At its core, the framework emphasizes data classification, lifecycle management, and access control standardization. Sensitive data are categorized by regulatory requirement and security level, while dynamic policies enforce encryption, anonymization, and retention protocols in accordance with frameworks such as GDPR, HIPAA, and ISO 27001. By leveraging federated metadata catalogs and distributed ledgers, the system enables traceable data provenance and immutable audit trails across hybrid environments. A zero-trust security paradigm further ensures that all access requests are continuously verified, regardless of origin, thereby mitigating insider threats and cross-cloud vulnerabilities.The framework also integrates AI-driven compliance monitoring to detect policy violations, automate reporting, and support adaptive governance in real time. Through interoperable APIs and compliance-as-code implementations, organizations can harmonize data policies across public, private, and edge cloud resources while maintaining jurisdictional and contractual adherence.In promoting transparency and resilience, this framework underscores the importance of cross-sector collaboration among regulators, cloud providers, and enterprises. By unifying governance, security, and compliance strategies, it advances a scalable model for secure data management in distributed infrastructuresenabling innovation, regulatory trust, and sustainable digital transformation in the multicloud era.
This paper proposes Atomic Ownership Blockchains (AOB), a novel blockchain architecture designed to address scalability and decentralization challenges in distributed ledger systems. AOB introduces an approach where each atomic object is represented by an independent blockchain, potentially allowing for horizontal scaling and enhanced security. The system stores only ownership transfer records, which may enable parallel transaction processing and improved throughput. By eliminating traditional mining and voting mechanisms, AOB aims to mitigate certain security risks while proposing an implicit consensus mechanism for resolving forks. The AOB architecture could potentially support the digitization of real-world assets and enable decentralized applications involving shared or fractional ownership. This paper presents the theoretical framework of AOB, discussing its potential advantages and outlining areas for future research and empirical validation. Practical implementation and rigorous testing are necessary to fully assess its viability and impact on digital ownership paradigms.
The Internet of Medical Things (IoMT) transforms healthcare by enabling real-time monitoring of patient vitals, such as heart rate and glucose levels, but faces significant challenges in securing sensitive data against cyber threats and ensuring reliability in resource-constrained wearable devices, like low-power biosensors with limited computational capacity. The rise of quantum computing, particularly Shor algorithm, threatens to break traditional cryptographic methods (e.g., RSA, ECC) within 5–10 years by efficiently solving their underlying mathematical problems, endangering patient data confidentiality. Post-quantum cryptography (PQC), such as lattice-based schemes, offers resilience but demands high computational resources, challenging IoMT scalability. Unlike other PQC IoMT frameworks, such as those using NTRU, which prioritize computational simplicity but lack advanced privacy mechanisms, Q-PRADAX pioneers a secure, adaptive data aggregation framework, integrating Ring-LWE-based PQC for quantum-resilient confidentiality, compact zk-SNARK proofs for tamper-proof verification of patient vitals, and adaptive clustering for enhanced network reliability and scalability. Evaluated using OMNeT + + 6.0.3 with INET 4.5, Q-PRADAX achieves 94.5% diagnostic accuracy on ECG datasets, 100% tampering detection, and 99.9% packet delivery across 1000 devices in its Baseline scenario, with a security latency of 12.2 ms/packet and energy consumption of 0.38 mJ/packet on ARM Cortex-M4 devices (200 mAh). Outperforming existing IoMT solutions in security and fault tolerance, Q-PRADAX establishes a global standard for a secure, patient-centric IoMT ecosystem, redefining reliable healthcare delivery.
This study explores the design and implementation of a blockchain-based system to enhance trust, transparency, and security in academic credentialing. Motivated by the growing distrust in centralized institutions and the inefficiencies of traditional credential verification processes, the research leverages the immutability, decentralization, and transparency of blockchain to develop a tamper-proof mechanism for academic record storage and validation. Using the Ethereum Sepolia test network and real-world student performance data from the Open University Learning Analytics Dataset (OULAD), the system securely issues, verifies, and revokes academic credentials through a custom smart contract developed in Solidity. Each credential is hashed using SHA-256 to ensure student privacy while enabling public, real-time verification. The implementation was conducted in a Google Colab environment using Web3.py and Infura, with batch processing mechanisms and a Web3 interface for seamless interaction. Empirical results reveal performance patterns across modules and highlight opportunities for academic intervention. The system not only demonstrates operational feasibility but also offers a scalable, interoperable, and ethical framework for higher education institutions to combat credential fraud and enhance institutional accountability. Future work will focus on privacy-enhancing cryptographic integrations and decentralized identity standards to further solidify blockchain’s role in education.
Yerlan Kistaubayev, Francisco Liébana‐Cabanillas, Aijaz A. Shaikh, Galimkair Mutanov · 6 authors
It has been recognized that Blockchain technology contributes to environmentally sustainable development goals (SDGs). It has emerged as a disruptive innovation capable of transforming various economic and social sectors significantly. This conceptual paper is driven by the need to explore how blockchain, specifically a consortium-based Ethereum architecture, can be integrated into higher education institutions to ensure data sovereignty, integrity, and verifiability while adhering to legal and ethical standards such as GDPR. We propose a multi-layered blockchain-based model for Kazakhstan’s Unified Platform of Higher Education (UPHE). This model employs hybrid on-chain/off-chain data storage, smart contract automation, and a Proof-of-Authority consensus mechanism to address system limitations, including data centralization and inadequate verification of academic credentials. Empirical simulations using Blockscout and Ethereum-compatible tools demonstrate the model’s feasibility and performance. This paper contributes to the growing discussion on educational blockchain applications by presenting a scalable, secure, and transparent architecture that aligns with institutional governance and Environmental, Social, and Governance (ESG) principles. It also supports the objectives of UN SDG 4 (i.e., Quality education) by fostering trust, transparency, and equitable access to verifiable educational credentials.
Abstract The increasing fragmentation of blockchain networks, compounded by recurring vulnerabilities in conventional cross-chain bridges—including censorship, replay attacks, and validator collusion—underscores an urgent need for secure and privacy-preserving interoperability protocols. This paper introduces ZK-InterChain, a protocol designed for unidirectional data transfers from consortium to public blockchains. The system empowers users to prove private or semi-private actions, such as verified purchases, without revealing their identities on the public network. The core of ZK-InterChain's architecture features a dual Zero-Knowledge Proof (ZKP) system. A client-side module facilitates user-generated proofs of private activity, while a validator-side module attests to state updates from the consortium chain using aggregated BLS signatures. Privacy is maintained through cryptographic nullifiers and minimal public inputs, which decouple a user's identity from their public-chain activities. Security analysis confirms the protocol's resilience against key attack vectors. Empirical evaluation demonstrates user-side proof generation in approximately one minute and validator-side state attestation in two minutes, with on-chain verification consuming approximately 220k gas. These performance characteristics establish ZK-InterChain as a viable solution for non-immediate, privacy-sensitive applications, such as decentralized reputation systems, post-event credentialing, and anonymous feedback mechanisms.
Cross-chain interoperability is essential for the next generation of decentralized finance applications, yet existing bridges suffer from security weaknesses, high latency, and fragmented trust models. This paper introduces SnapBridge, a protocol that transfers assets across heterogeneous blockchains using cryptographic state snapshots combined with optimistic verification. A snapshot aggregator collects Merkleized proofs of account states and transaction histories from the source chain. Instead of verifying all proofs on-chain, SnapBridge relies on optimistic execution: transfers proceed immediately but can be challenged within a fraud-proof window. Fraud detection is performed by light clients using succinct verification rules. We implement SnapBridge across Ethereum, Polygon, and Avalanche testnets and benchmark transfer throughput, failure handling, and gas consumption. Results show up to 3× improvement in transfer latency and a 40% reduction in on-chain verification cost compared to multisig-based bridges. The paper evaluates adversarial scenarios such as corrupted aggregators, delayed snapshots, and chain reorgs. SnapBridge provides a modular, safer alternative for cross-chain liquidity flows.
Fernando Castillo, Eduardo Brito, Sebastian Werner, Pille Pullonen · 5 authors
Service Level Agreement (SLA) monitoring in service-oriented environments suffers from inherent trust conflicts when providers self-report metrics, creating incentives to underreport violations. We introduce a framework for generating verifiable SLA violation claims through trusted hardware monitors and zero-knowledge proofs, establishing cryptographic foundations for genuine trustworthiness in service ecosystems. Our approach starts with machine-readable SLA clauses converted into verifiable predicates and monitored within Trusted Execution Environments. These monitors collect timestamped telemetry, organize measurements into Merkle trees, and produce signed attestations. Zero-knowledge proofs aggregate Service-Level Indicators to evaluate compliance, generating cryptographic proofs verifiable by stakeholders, arbitrators, or insurers in disputes, without accessing underlying data. This ensures three security properties: integrity, authenticity, and validity. Our prototype demonstrates linear scaling up to over 1 million events per hour for measurements with near constant-time proof generation and verification for single violation claims, enabling trustless SLA enforcement through cryptographic guarantees for automated compliance verification in service monitoring.
Sabri Barbaria, Abderrazak Jemai, Halil İbrahim Ceylan, Raul Ioan Muntean · 6 authors
Background: Healthcare data interoperability faces significant barriers, including regulatory compliance complexities, institutional trust deficits, and technical integration challenges. Current centralized architectures demonstrate inadequate mechanisms for balancing data accessibility requirements with patient privacy protection, as mandated by HIPAA and GDPR frameworks. Traditional compliance approaches rely on manual policy implementation and periodic auditing, which are insufficient for dynamic, multi-organizational healthcare data-sharing scenarios. Objective: This study develops and proposes a blockchain-based healthcare data management framework that leverages Hyperledger Fabric, IPFS, and the HL7 FHIR standard and incorporates automated regulatory compliance mechanisms via smart contract implementation to meet HIPAA and GDPR requirements. It assesses the theoretical system architecture, security characteristics, and scalability considerations. Methods: We developed a permissioned blockchain architecture that employs smart contracts for privacy policy enforcement and for patient consent management. The proposed system incorporates multiple certification authorities for patients, hospitals, and research facilities. Architectural evaluation uses theoretical modeling and system design analysis to assess a system’s security, compliance, and scalability. Results: The proposed framework demonstrated enhanced security through decentralized control mechanisms and cryptographic protection protocols. Smart contract-based compliance verification can automate routine regulatory tasks while maintaining human oversight in complex scenarios. The architecture supports multi-organizational collaboration with attribute-based access control and comprehensive audit-trail capabilities. Conclusions: Blockchain-based healthcare data-sharing systems provide enhanced security and decentralized control compared with traditional architectures. The proposed framework offers a promising solution for automating regulatory compliance. However, implementation considerations—including organizational readiness, technical complexity, and scalability requirements—must be addressed for practical deployment in healthcare settings.
The integration of blockchain technology into healthcare presents a paradigm shift for secure data management, enabling decentralized and tamper-proof storage and sharing of sensitive Electronic Health Records (EHRs). However, existing blockchain-based healthcare systems, while providing robust access control, commonly overlook the high latency in user-side re-computation of hashes for integrity verification of large multimedia data, impairing their practicality, especially in time-sensitive clinical scenarios. In this paper, we propose FAITH, an innovative scheme for \underline{F}ast \underline{A}uthenticated and \underline{I}nteroperable mul\underline{T}imedia \underline{H}ealthcare data storage and sharing over hybrid-storage blockchains. Rather than user-side hash re-computations, FAITH lets an off-chain storage provider generate verifiable proofs using recursive Zero-Knowledge Proofs (ZKPs), while the user only needs to perform lightweight verification. For flexible access authorization, we leverage Proxy Re-Encryption (PRE) and enable the provider to conduct ciphertext re-encryption, in which the re-encryption correctness can be verified via ZKPs against the malicious provider. All metadata and proofs are recorded on-chain for public verification. We provide a comprehensive analysis of FAITH's security regarding data privacy and integrity. We implemented a prototype of FAITH, and extensive experiments demonstrated its practicality for time-critical healthcare applications, dramatically reducing user-side verification latency by up to $98\%$, bringing it from $4$ s down to around $70$ ms for a $5$ GB encrypted file.
Octara Pribadi, Johanes Terang Kita Perangin Angin, Erick Erick
The development of information technology has driven the need for stronger security systems and guaranteed privacy on web-based platforms. Traditional verification methods such as passwords and two-factor authentication are increasingly seen as insufficient in facing the growing complexity of cyber threats. Zero-Knowledge Proof (ZKP) emerges as an alternative solution that enables identity verification without revealing sensitive information. This research aims to implement ZKP technology in web-based systems to enhance user security and privacy. The method involves the implementation of a simple XOR-based ZKP algorithm to prove identity without disclosing personal data, as well as a three-step verification mechanism between the verifier and the prover. Implementation results show that the system can prevent attacks such as man-in-the-middle and replay attacks, while maintaining data confidentiality during the authentication process. This study also identifies challenges in system efficiency and verification process integrity and offers technical solutions to support broader ZKP integration in digital platforms. Thus, the use of ZKP in web-based systems holds great potential to improve user trust and security in the digital era.
This paper focuses on the research of auditing data privacy protection mechanism under blockchain technology and constructs an efficient computational model. The model is based on the distributed ledger characteristic of blockchain, and ensures the data tampering and traceability by optimizing the consensus mechanism. In the proposed model, the consensus mechanism is optimized by utilizing the tamper proof properties of blockchain. By building a multi node collaborative framework that supports batch auditing, this model improves data synchronization efficiency. The focus of optimization is to reduce the consensus reaching time and thus improve the overall performance and scalability of the blockchain network. At the same time, smart contracts are utilized to realize automated data sharing and auditing processes to improve auditing efficiency. In terms of data encryption algorithm design, a chaotic system based on RSA algorithm encryption is designed by combining the randomness and complexity of chaos theory to further strengthen the security of data. The results show that the model in this paper can make the ciphertext image uncorrelated in all directions and improve the encryption strength of the image. The method of this paper can make the audit data information on the degree of privacy protection and the complexity of the ciphertext image increase up to about 50% and 45% than the comparison method; the encryption and decryption time of the data is reduced by about 20 s. In addition, the running time of the stages of this paper’s algorithm increases with the increase in the number of concurrent requests and this paper’s system can support concurrency of 500 users at the same time and make its throughput up to 583.49/s.
Bitcoin is one of the famous cryptocurrencies in the world. It is a permissionless blockchain, and all transactions are stored in a public decentralized ledger. In its security design, Bitcoin utilizes various cryptographic primitives, such as hash functions and signature schemes. In the current version of Bitcoin, the Elliptic Curve Digital Signature Algorithm (ECDSA) is employed, which is not considered post-quantum secure due to the Shor's algorithm. Since December 2016, the National Institute of Standards and Technology (NIST) initiated a process to standardize certain post-quantum cryptographic primitives, including key encapsulation mechanisms (KEMs), public key encryption (PKE), and digital signature schemes. Dilithium, a lattice-based digital signature scheme, emerged as one of the winners of this competition and is recently standardized as ML-DSA (FIPS 204). In this work, we analyze the potential replacement of the ECDSA signature, the current signature in Bitcoin, with Dilithium, which is a post-quantum digital signature. This replacement will have a significant impact on many protocols within the Bitcoin ecosystem. The ECDSA algorithms are not only utilized for transaction signing and verification but also in wallet management. Bitcoin operates on a pseudonymous system rather than complete anonymity. To enhance privacy protection, the Bitcoin community has adopted a special type of (hierarchical) deterministic wallet as outlined in Bitcoin Improvement Proposal 32 (BIP32). We have constructed deterministic wallets by first designing DilithiumRK, a signature scheme with rerandomizable keys from Dilithium. Subsequently, we conducted a thorough security analysis and successful implementation of DilithiumRK.
Chung, Siu Kei, Francisco Carpio, Andrei Navoichyk, Siarhei Valasovich · 11 authors
The internet faces a sovereignty crisis due to power concentration and data growth among a few hyperscalers, leading to centralization and loss of user control. This consolidation risks censorship and creates single points of failure. While Web3 offers decentralized solutions, they often sacrifice either scalability, decentralization, or security, which are key elements in the blockchain trilemma. These solutions also struggle with limited access to enterprise-grade hardware and frequently rely on centralized infrastructure. The Impossible Cloud Network (ICN) addresses these issues by creating a multi-tiered, decentralized infrastructure layer. ICN offers a composable service layer, an enterprise-grade hardware resource layer, and a transparent, permissionless HyperNode network for performance enforcement. By strategically decoupling and decentralizing each layer, ICN aims to provide an open, extensively scalable infrastructure that ensures digital sovereignty, eliminates single points of trust, enables service programmability, and offers a decoupled architecture for limitless possibilities in the future internet.