Nandhini S, Hrithik M, Kamalesh S, Aswin C · 6 authors
ABSTRACT: Centralized digital marketplaces dominate today’s online commerce but suffer from inherent limitations such as single points of failure, lack of transparency, data monopolization, and trust dependency on intermediaries. To address these challenges, this paper presents the design and implementation of a decentralized marketplace built on blockchain technology. The proposed system enables peer-to-peer trading without the involvement of centralized authorities, ensuring transparency, security, and fairness among participants. Smart contracts are employed to automate transactions, enforce business rules, and eliminate the need for trusted third parties. Distributed ledger technology ensures immutability of records, while cryptographic mechanisms provide secure identity management and transaction validation. The marketplace supports secure listings, decentralized payments, dispute resistance, and trustless execution, thereby reducing operational costs and increasing user autonomy. Experimental analysis demonstrates improved reliability, resistance to tampering, and enhanced trust compared to traditional centralized platforms. The proposed decentralized marketplace framework highlights the potential of blockchain-based systems in redefining digital commerce by promoting transparency, decentralization, and user empowerment. Keywords: Decentralized Marketplace, Blockchain Technology, Smart Contracts, Peer-to-Peer Trading, Distributed Ledger, Trustless Transactions, Cryptographic Security, Transparency, Digital Commerce, Disintermediation.
This study systematically examines the transformative role of Artificial Intelligence (AI) in addressing the persistent challenges of blockchain technology across protocols, smart contracts, and distributed ledger management. Although blockchain offers decentralization, immutability, and transparency, its broader adoption remains constrained by scalability limitations, security vulnerabilities, inefficient consensus mechanisms, and the complexity of contract design and auditing. The findings of this review demonstrate that AI provides promising solutions to these barriers. Reinforcement learning (RL) applied to Proof-of-Stake reduced consensus latency by 30-50%, while NLP-based smart contracts lowered vulnerabilities by up to 40%, though both approaches introduced new concerns related to energy overheads and auditability. In addition, intelligent algorithms enhance ledger efficiency and data analytics, supporting more scalable and secure transaction processing. Drawing on 28 peer-reviewed studies published between 2018 and 2024, and guided by the PRISMA 2020 framework, this paper synthesizes state-of-the-art research, maps sector-specific applications in finance, healthcare, and supply chain management, and highlights unresolved gaps in ethics, reproducibility, and regulatory compliance. Notably, only 12% of the reviewed studies validated their approaches on live networks underscoring the gap between simulation-driven research and real-world deployment. The discussion culminates in the AI–Blockchain Interaction Model (AIBIM), a conceptual framework that systematizes synergies across consensus, contract, and application layers. By integrating empirical insights with critical evaluation, this work emphasizes the interdisciplinary nature of AI–blockchain research and provides actionable directions for advancing decentralized, scalable, and ethically aligned systems. This synthesis provides actionable insights for developers, regulators, and researchers in deploying AI-blockchain systems across finance, healthcare, and supply chains.
Harsha Gowda R, Sahana M Gowda, Chethan J, Gopika R · 5 authors
The healthcare industry continues to have issues regarding the transparency and trust of the financial transactions, and especially in case of handling of insurance claims and the funding of the patient. Intermediaries and centralization is generally accompanied by inefficiencies, delay and lack of accountability. To eliminate these problems, in this paper, Medicare Chain is proposed as a decentralized blockchain-based fund management system in order to ensure the secure and transparent medical transaction. The system utilizes smart contracts of the Ethereum network to automate the process of transfer of funding between the patients, doctors and donors without the need of centralized authority in the process. Data and transaction logs of nurses is set into the InterPlanetary File System (IPFS) to ensure integrity and prevent any kind of tampering. Django-based web interface allows users authentication, access control and access to the blockchain network. By introducing a framework for auditable, secure and efficient management of medical funds using the concepts of decentralization, the proposed framework shows the possibilities of decentralized systems to create more reliability and trust amongst the healthcare ecosystems.
This thesis presents a comprehensive predictive maintenance system and application interface that integrates deep learning and blockchain technologies in order to enhance maintenance strategies in industrial systems. Traditional predictive maintenance systems have significant issues regarding data security and decentralization. This study aims to address these limitations by leveraging blockchain technology, with a specific focus on improving the reliability and verifiability of predictive maintenance processes. In this study, an LSTM-CNN hybrid model was developed to evaluate complex patterns in both time and features, thereby enabling high-accuracy fault prediction. The proposed model is designed to perform binary classification for fault prediction in industrial equipment. During the implementation phase of the study, an open-source dataset was used to train and test the developed model. The Randomized Search method was used in the hyperparameter optimization process to increase the prediction success of the proposed model. The hybrid model was trained with 5-fold cross-validation, and class weighting and threshold value optimization methods were applied to eliminate the class imbalance problem. In the threshold optimization phase, F1-score-based methods are applied to maximize recall at three predefined minimum precision levels (0.05, 0.2, and 0.85), while identifying the most balanced trade-off between precision and recall. In the proposed system, sensor data are stored in a database (SQLite3), and cryptographic proofs generated using zero-knowledge techniques are transmitted to the Ethereum network. The Poseidon hash function is used to ensure data integrity, and the Groth16 protocol is used for Zk-Snark proof generation. This approach enables secure verification of data validity without publicly disclosing sensor data and simultaneously addresses scalability concerns. The system architecture is designed to include manager, operator, and engineer nodes, and all smart contracts are implemented using Solidity. In addition, a graphical user interface is developed using the Tkinter library in Python. The experimental results demonstrate that the proposed LSTM–CNN hybrid model produces successful outcomes in terms of fault prediction performance. According to scenario where the decision threshold is optimized based on the F1-score, the model achieves an accuracy of 0.987, an AUC value of 0.979, and an F1-score of 0.794. In future studies, the proposed system is planned to be implemented on the Ethereum mainnet instead of a test network, with a comprehensive evaluation of on-chain operational costs. However, instead of Zk-Snark proofs, which have a centralized structure, the use of Zk-Stark proofs, which are transparent and do not violate the principle of decentralization, is planned.
AI agents now coordinate cryptographic tasks such as key management, protocol negotiation, zero-knowledge verification, and anomaly response across heterogeneous systems. Despite rapid progress, practical deployments still face gaps in protocol interoperability, verifiable privacy, and post-quantum readiness that hinder trustworthy adoption. This survey systematizes the field across cryptanalysis, cryptographic design, and secure multi-agent coordination, structuring the discussion around protocol families (MCP, A2A, ACP, ANP) and core primitives (MPC, HE, ZKP, PQC). Contributions include a two-dimensional taxonomy, a transparent survey methodology, a state-of-the-art comparison using shared criteria (interpretability, robustness, scalability, PQC readiness, proof overhead), an explicit limitations analysis, and practice-oriented guidance for engineering and governance. The synthesis clarifies trade-offs and provides a deployment roadmap for agentic cryptography in IoT, finance, and identity systems.
Everybody throws around the term "blockchain" these days, like it's some secret sauce. But smart contracts are where things actually start to get interesting. Forget endless forms and relying on someone's handshake; smart contracts handle things automatically. They're just coded agreements that trigger themselves no middlemen, no second-guessing if someone's being honest. You know what you're getting. This review looks at how smart contracts are changing the game in two touchy areas: healthcare and voting, where trust and privacy can't be taken lightly. Dealing with healthcare is usually a hassle. People lose records, insurance companies bounce you around, and privacy feels flimsy. With smart contracts, you're in charge of your data, claims happen faster, and private info stays private. Doctors can share what they need to, without breaking the rules. Voting? It's had trust issues forever people aren't sure their votes count for anything. Smart contracts clean things up. They make voting more transparent, help stop fraud, and lock down the results. You can check your ballot and know nobody's changing numbers behind the scenes. Of course, it's not all smooth sailing blockchain slows down when things get big, laws haven't caught up, some of the interfaces are confusing, and big organizations don't like change. This paper covers what works, what needs help, and where things could go next.
Bitcoin price prediction is a popular topic in finance and technology circles. Developing an accurate bitcoin price prediction algorithm is crucial for the cryptocurrency market's growth and development. The development of bitcoin price prediction algorithms is challenging because bitcoin prices fluctuate heavily. Many researchers have attempted to predict the future price of Bitcoin using a variety of methods. This paper presents a web-based application for Bitcoin price prediction using a Hybrid LSTM-GRU model. The experimental results show the results of the Hybrid LSTM-GRU model compared to other models, such as LSTM and GRU. The models were evaluated using various metrics such as mean absolute error, root mean squared error, and mean squared error. The findings indicated that our model outperformed other deep learning models with RMSE, MSE, and MAE values of 0.136, 0.018, and 0.105, respectively. A web application was built using the Streamlit library.
India’s carbon free power is on an exponential rise, and has recently surpassed 50 percent of installed capacity five years ahead of scheduled target. Growing penetration of renewables accounts to 184.62 GW which is 38 percent of the overall energy mix. By 2030, contribution of wind and solar energy is likely to cross the mark of 44 percent. Pradhan Mantri Suryoday Yojana (PMSY) gives major impetus to Residential based Roof Top Solar (RTS) scheme which alone is a significant component. Eventually, growing number of solar based Distributed Energy Resources (DERs) will result into availability of sufficient power in the households. Potential to trade excess power in the neighborhood will soon emerge and be a new norm. Conventionally, Power Purchase Agreements (PPAs) are executed between power producers and consumers forming a legal binding among the entities. Growing number of DERs will mandate resilient, secured, concurrent and faster contracting mechanisms. While, conventional PPAs are often associated with potential vulnerabilities of being tampered, thefts, inflicted destructions, foisted litigations, non-compliance issues, non-availability to all stakeholders etc. Seizing this problem, blockchain will serve as an effective solution. All requisites of contract being resilient, auto-executable, immutable and scalable will be well achieved using blockchain technology. Chaincode based PPA smart contract can ensure secured, transparent and accelerated contracting mechanism. The paper evolves client based solution in developing a decentralized application (dApp) for carrying out energy trading using Hyperledger fabric.
Over one billion people worldwide lack a recognised legal identity. Existing identity systems — built around passwords, static biometrics, and centralised authorities — are fragile, exclusionary, and increasingly vulnerable to breach, coercion, and state failure. This paper introduces the Blockchain-Based Identity Management System (BIMS), a decentralised identity framework that replaces static credentials with continuous, behaviour-informed validation. Rather than asking "what do you know or carry?", BIMS asks "does this person's pattern of behaviour, movement, and context match who they say they are?" — mirroring how humans naturally recognise one another. BIMS integrates IoT-derived behavioural signals, privacy-preserving cryptography (zero-knowledge proofs and homomorphic encryption), Trusted Execution Environments (TEEs), and a leaderless Byzantine Fault Tolerant consensus network. Raw personal data never leaves the user's device. Validators receive only mathematical confidence scores. The result is identity verification that is private by architecture, not by policy. Critically, BIMS embeds humanitarian protection at the protocol level. A dedicated governance layer — including NGO and neutral-nation validators with weighted oversight powers — ensures that refugees, stateless persons, and people in crisis can establish and maintain digital identity even when institutions have failed them. The system is designed to be interoperable with existing standards (W3C DIDs/VCs, OAuth/OIDC), scalable via Layer 2 zero-knowledge rollups, and energy-efficient through edge inference. BIMS proposes that privacy, security, and inclusion are not competing priorities — they are mutually reinforcing design goals.
d IoT security perspective. It makes use of three essential Blockchain features— transparency, immutability, and decentralization— to build environment that are reliable and impenetrable. This application is realized through the utilization of features such as AI-driven fraud detection, Blockchain security, data privacy, the reliability of Smart Contracts, transaction speed, and system scalability. The result is, Blockchain-IoT Security Perspective, the first rank is System Scalability, the lowest rank is AI-based Fraud Detection, Blockchain Security is the fourth rank, Data Privacy is the fifth rank, Smart Contract Reliability is the third rank, and Transaction Speed is the first rank.
The rapid expansion of Artificial Intelligence (AI) across critical sectors has intensified concerns regarding transparency, accountability, fairness, and ethical compliance. Conventional governance mechanisms are primarily centralized, limiting auditability and increasing risks of bias, manipulation, and data misuse. This research proposes a decentralized governance framework integrating blockchain technology to strengthen ethical oversight in AI systems. Blockchain ensures immutability, transparency, and distributed verification of AI operations, including data usage, model updates, and decision records. Smart contracts are incorporated to automate enforcement of ethical principles such as informed consent, bias monitoring, and regulatory compliance. The framework enhances trust among stakeholders by enabling traceability across the AI lifecycle while protecting data integrity. The proposed model is applicable to domains like healthcare, finance, public administration, and autonomous systems where ethical reliability is critical. The study concludes that blockchainenabled governance provides a robust foundation for responsible and sustainable AI deployment.
The rapid increase in fraudulent reproduction and misuse of digital certificates has become a critical concern for organizations and institutions worldwide. Fake or tampered certificates are often used to obtain employment in domains where individuals lack the required qualifications, thereby compromising organizational credibility and posing significant risks, particularly in sensitive sectors such as healthcare. With the proliferation of online learning platforms, certificates are issued digitally, making them vulnerable to unauthorized access, duplication, and identity forgery. To address these challenges, this paper proposes a secure and sustainable framework for proof of ownership of valuable educational assets using blockchain technology. Leveraging the capabilities of non-fungible tokens (NFTs), the proposed system ensures that each certificate is uniquely identifiable, tamper-proof, and verifiable. Unlike fungible digital assets, NFTs represent immutable and distinct records on the blockchain, enabling transparent and decentralized ownership verification. The proposed approach not only enhances trust and authenticity in educational credentials but also demonstrates applicability across multiple domains, including healthcare, supply chain, and digital asset management
This study analyzes 128,286 academic papers tagged as blockchain or cryptocurrency research by OpenAlex's machine-learning concept classifier, published between 2013 and mid-2026. A broader keyword search across paper abstracts identifies 1,938,409 publications that mention Web3-related terms. The analysis measures keyword frequency, temporal trajectories, growth rates, citation distributions, geographic concentration, institutional output, and open access rates. Key findings include 117x growth in annual blockchain publications between 2013 and 2025, the rise of zero-knowledge proofs as the fastest-growing cryptographic primitive (2.1x growth, 2025-2026 vs. 2022-2023), DeFi research experiencing a 74x increase from 2019 to 2025, NFT research peaking in 2023 before declining, China and India leading global output with 13.5% and 13.3% of all papers respectively, and 43.5% of all papers receiving zero citations.
The contemporary digital information ecosystem is suffering from a structural market failure analogous to George Akerlof’s "Market for Lemons." In an era of Generative AI, the marginal cost of producing misinformation has approached zero, while the cost of verifying truth remains high. This asymmetry has created a "Trust Deficit" where high-quality information cannot be reliably distinguished from algorithmic noise. Current remediation strategies are bifurcated between two flawed extremes: Centralized Web2 Platforms (which prioritize scalability at the expense of transparency and are prone to censorship) and Decentralized Web3 Networks (which prioritize immutability but suffer from the "Garbage In, Garbage Out" paradox - permanently recording unverified data). The Trust-Scalability Trilemma: This research posits that decentralized reputation systems face a "Trust-Scalability Trilemma," historically unable to simultaneously achieve Veracity (Accuracy), Scalability (Throughput), and Decentralization (Censorship Resistance). Traditional solutions, such as Token Curated Registries (TCRs), have failed because they rely on synchronous, on-chain voting for every data point, resulting in prohibitive latency and gas costs. The Solution: This paper introduces The Klyrox Protocol, a decentralized middleware designed to resolve this trilemma by decoupling Content Execution from Content Verification. The protocol introduces a novel consensus mechanism, "Proof-of-Klyrox," which combines Optimistic Machine Learning (opML) with Game Theoretic Integrity Bonds. Proof-of-Klyrox is not a blockchain consensus mechanism. It is a layered fraud-detection and incentive framework anchored to existing consensus networks. Scope Note: Protocol V1 focuses exclusively on objective, verifiable claims (e.g., market data, timestamped events, quantifiable metrics). Subjective content quality assessment (e.g., editorial judgment, artistic merit) is explicitly out of scope and scheduled for research in future iterations. The system operates on an "Optimistic" presumption of validity: Optimistic Execution: Content is verified instantly via off-chain AI Oracles, reducing verification costs by an estimated 85-95% compared to traditional on-chain governance models. Cryptoeconomic Security: Users must stake financial collateral (Integrity Bonds) to publish. This creates a "Pay-to-Truth" incentive structure where the cost of generating misinformation strictly exceeds the potential profit. Sybil Resistance: The protocol implements a proprietary Time-Decayed Stake-Weighted (TDSW) algorithm. This scoring engine ensures that influence scales logarithmically with capital (preventing plutocratic capture) and decays exponentially over time (preventing the entrenchment of dormant actors). By financializing reputation into a portable, quantifiable asset class defined as "Epistemic Capital," The Klyrox Protocol offers a scalable blueprint for a self-regulating "Market for Truth." It transforms trust from a subjective social sentiment into an objective, verifiable economic product, providing the necessary infrastructure for the next generation of decentralized media, prediction markets, and AI safety layers. Author's Note: This whitepaper outlines the technical architecture and game-theoretic mechanisms underpinning the concept of "Epistemic Capital," as explored in The Algorithmic Monographs series by Ali Sadhik Shaik (The Algorithmic Invisible Hand, The Republic of Code, The Market for Truth, The Heavy Metal Intelligence and The Synthetic C-Cuite).
Blockchain technology has emerged as a revolutionary tool for securing online transactions by providing a decentralized, transparent, and immutable ledger for digital records. This technology operates on the principles of cryptography and consensus mechanisms, making it resistant to tampering and fraud. As online transactions have become an essential part of modern economies, ensuring the security and integrity of these transactions has become a critical challenge. Blockchain addresses these concerns by enabling peer-to-peer transactions without the need for intermediaries, thereby reducing the risk of fraud, data breaches, and financial theft. The purpose of this paper is to explore the role of blockchain technology in enhancing the security of online transactions, focusing on its implementation in various industries such as finance, healthcare, and e-commerce. This paper will analyze the fundamental features of blockchain, including its decentralized nature, transparency, and the cryptographic techniques used to ensure data integrity. Additionally, it will examine the challenges associated with the widespread adoption of blockchain, including scalability issues, regulatory concerns, and technological barriers. The paper also discusses the future potential of blockchain technology, particularly in relation to its integration with emerging technologies like artificial intelligence and the Internet of Things. By reviewing current trends, case studies, and research findings, this paper aims to provide a comprehensive analysis of blockchain technology’s impact on securing online transactions and its potential to revolutionize digital economies.
Ameeta Jaiswal‐Dale, Romain M. Lorentz, Ernest L. Owens, Bhuvanesh Singh
This study presents a practical framework for implementing blockchain technology, specifically smart contracts, to optimise operations and enhance financial performance in the Consumer Packaged Goods (CPG) sector. It identifies best practices for operational efficiency and outlines the structural flow and challenges of implementing smart contracts in a small-scale CPG company. While blockchain is often associated with cryptocurrency, its value lies in enhancing core business processes such as vendor selection, procurement and legal compliance monitoring. The framework integrates blockchain-enabled smart contracts with project management lifecycle updates to streamline operations, enhance cash flow and reduce the Cost of Goods Sold (COGS). It highlights how procurement processes, legal requirements and vendor management can be streamlined through smart contracts, providing transparency, reducing delays and ensuring regulatory compliance. Blockchain is a decentralised database, and its applications span procurement, production processes and inventory management. However, leveraging blockchain effectively requires smart contracts. Integrating these contracts with project management tools ensures efficient operations and measurable financial metrics. This interdisciplinary approach combines technology, business law and project management to deliver actionable insights. The study highlights how modest operational efficiencies can drive profitability in low-margin industries, such as CPG, and establishes a foundation for future implementation studies across other sectors.
An independent, trusted third party or governing body is no longer necessary to conduct secure financial transactions because of blockchain technology. The topic of smart contracts and their ability to facilitate additional computational progress has risen to the forefront of academic and industry conversations in response to the dizzying rate of growth in blockchain technology. The scholarly work takes into account the material that has been assessed by experts and aims to explain the fundamental idea and provide a comprehensive computational analysis of relevant literature. Such an approach contributes to the advancement of decentralized applications (dApps) by providing technical insights into their development frameworks. The initial section presents a brief overview of smart contracts, including their conceptual foundations, system architecture, and application domains. Furthermore, in a detailed review of existing platforms for developing smart contracts, it was found by comparison that the Tron and CoreDAO blockchains offer the most computationally efficient platforms to enhance the quality-of-services (QoS) in decentralized environments. These low-cost transaction models support the creation of resource-efficient smart contracts. In addition, this study includes a simulation work that considers the blockchain transactions as a dataset to train an artificial intelligence model that would support the computational prediction of the success and failure of the transactions. Received: 25 July 2025 | Revised: 23 October 2025 | Accepted: 5 December 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. Author Contribution Statement Alock Gupta: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization, Project administration. Kamlesh Lakhwani: Conceptualization, Methodology, Validation, Investigation, Resources, Writing – review & editing, Supervision.
Blockchain, originally devised for Bitcoin, has evolved beyond cryptocurrencies to become a transformative technology in banking and finance. Its decentralized, secure, and transparent characteristics promise improved efficiency, reduced fraud, and cost savings. However, challenges such as scalability, regulatory uncertainty, and cybersecurity risks persist. This paper explores the benefits, risks, and future prospects of blockchain adoption in the financial sector. The study includes a review of existing literature, real-world applications, and an analysis of ongoing challenges and potential future developments.
The rapid growth of the digital economy has brought unprecedented advantages, enabling seamless transactions, real-time data exchange and global connectivity for the businesses. However, this digital expansion has also exposed businesses, governments and individuals to an evolving landscape of cyber threats. Traditional cybersecurity frameworks which rely heavily on centralized models are increasingly proving inadequate in the face of sophisticated cyber intrusions. Blockchain technology is a decentralized, cryptographically secure and immutable ledger system that introduces an innovative approach to cybersecurity. This research article examines the role of blockchain technology in enhancing cybersecurity, discussing its capabilities in securing online transactions, ensuring data integrity, preventing cyber threats and facilitating a proactive security mechanism against cyberattacks for businesses by integrating the CHIPS framework (Connect–Harness–Innovate–Protect–Sustain). This framework emphasizes the ability of blockchain to Connect stakeholders via trust less networks, Harness distributed ledgers to ensure data integrity, Innovate mechanisms for secure transactions, Protect digital assets with tamper resistant architectures and Sustain long term cyber resilience through scalable and adaptable systems. This study also highlights the effectiveness of this integration in securing digital transactions, thwarting cyberattacks and facilitating proactive cybersecurity strategies in business operations.
Prof. Sampada S. Kapse, Nithin C, Nithin C, Pavan Adithya V · 5 authors
Abstract In recent years, the protection and management of Intellectual Property Rights (IPR) have become challenging due to the rapid growth of digital content, ownership disputes, and lack of transparency in traditional systems. Most existing IPR management frameworks rely on centralized authorities and manual verification processes, which are inefficient, time-consuming, and vulnerable to tampering. This paper introduces IPR Management Using Blockchain, a decentralized system designed to securely register and manage intellectual property assets. The system uses blockchain technology to ensure immutability, transparency, and tamper-proof ownership records. Smart contracts are employed to automate IP registration, ownership verification, licensing, and royalty distribution without third-party involvement. The proposed system enables creators to securely register digital assets and provides verifiable proof of ownership through cryptographic hashing and distributed ledgers. Experimental evaluation shows improved security, transparency, and efficiency compared to traditional IPR management approaches. The blockchain-based IPR system offers a scalable and reliable solution for modern digital rights protection. Keywords: Blockchain; Intellectual Property Rights; Smart Contracts; Digital Ownership; Decentralized Ledger chatbot
Blockchain technology is a game-changing invention that guarantees digital transactions on decentralized networks. The vital role that cryptography plays in guaranteeing the authenticity, confidentiality, and integrity of blockchains is examined in this paper. To secure the data on the blockchain and validate transactions, we are examining fundamental cryptographic techniques like hashing, symmetric and asymmetric encryption, and digital signatures. Furthermore, advanced cryptographic solutions that have the potential to improve privacy and scalability—such as homomorphic encryption, zero-knowledge proofs, and zk-SNARKs—are being discussed. Along with reviewing consensus techniques like proof of work and proof of stake, the paper contrasts the main blockchains, including those that are still in development, like Ethereum, Solana, and Hyperledger Fabric. Through an analysis of the advantages and disadvantages of existing cryptographic implementations, the study emphasizes the necessity for additional innovation.
Gangappa B Demmannavar, Ramyashree C, Swathi M, Yamini R
Abstract This project presents a smart industrial monitoring system that integrates IoT, blockchain, and intelligent networking to ensure secure, reliable, and efficient environmental monitoring. An ESP32-based sensor network is deployed to continuously measure critical industrial parameters such as temperature, humidity, gas concentration, and dust density.The collected data is uploaded to the ThingSpeak cloud platform in real-time, enabling remote monitoring, analytics, and early detection of anomalies or hazardous conditions. To enhance security and integrity, blockchain technology is implemented to create a tamperproof distributed ledger of sensor readings, ensuring that the data cannot be altered by unauthorized users. The sensor nodes are structured into clusters, and communication is optimized using shortest path algorithms, reducing network latency and improving energy efficiency. By combining secure data handling with intelligent routing, the proposed system offers a scalable and robust solution for modern industrial automation, predictive maintenance, and safety management. Keywords- IOT-based Industrial monitoring, Blockchain security, Tamper-proof Data storage, Smart Industrial Automation, Anomoly Detection Adaptive blockchain model, Environment parameter monitering.
Railway Cargo Systems (RCS) are often associated with issues such as data security, lack of transparency, and inefficiencies in terms of storage requirements and overall operability.This work proposes a novel technique combining blockchain technology with cloud computing to create a secure and streamlined railway cargo system.By leveraging the power of blockchain's distributed ledger and immutability, the system guarantees data integrity and fosters trust among all participants.Cloud computing, on the other hand, injects scalability, real-time data processing, and accessibility for every stakeholder involved in the network.The proposed integration promises significant improvements across various aspects of railway cargo operations.Firstly, enhanced security is achieved by storing transactions and cargo information permanently on the blockchain, significantly reducing the risk of fraud and unauthorized data alterations.Secondly, increased transparency is realized through a shared ledger accessible to all participants, enabling real-time tracking and clear visibility of cargo movement throughout the journey.Thirdly, streamlined processes through automated document handling and by implementing smart contracts on the blockchain lead to improved efficiency.Elimination of paper-based documentation and various intermediary parties achieves the desired cost savings.Finally, the potential benefits and challenges associated with the implementation of our proposed system in the railway cargo industry are assessed, which include the scalability limitations and seamless interoperability between different blockchain platforms.