Immutable Property Research Articles

Advancing the deployment and information management of direct air capture: A solution enabled by integrating consortium blockchain system

Direct air capture (DAC) is a critical and emerging Negative Emissions Technology (NET) that directly removes CO2 from the atmosphere, significantly contributing to climate change. However, the deployment and management of large-scale DAC faces challenges such as collections and analysis of energy consumption data, intricate device and system management, emission prediction and operation strategy, precise carbon footprint tracking, etc. This paper proposes the integration of blockchain technology with DAC systems to address these challenges, utilizing blockchain's inherent properties of immutability, security, and transparency. The implementation strategy includes the development of a DAC consortium blockchain system, leveraging a consensus mechanism,11Consensus mechanism: The programming and process used in blockchain systems to achieve distributed agreement about the ledger's state or the state of a data set. (Source: Investopedia) ECDSA encryption,22Elliptic Curve Digital Signature Algorithm (ECDSA): In cryptography, the Elliptic Curve Digital Signature Algorithm (ECDSA) offers a variant of the Digital Signature Algorithm (DSA) which uses elliptic-curve cryptography. As with elliptic-curve cryptography in general, the bit size of the private key believed to be needed for ECDSA is about twice the size of the security level, in bits. (Source: Wikipedia) IoT33Internet of things (IoT): describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks. (Source: Wikipedia) integration, and digital signatures. Preliminary modeling of the proposed system suggests potential improvements in operational efficiency and a reduction in data inaccuracies. The proposed system underscores the system's ability to streamline identity verification, improve data collection accuracy, and facilitate secure, confidential information sharing among DAC stakeholders. By enhancing the efficiency and reliability of DAC operations, this approach supports the scalable and effective deployment of NETs in the global effort to combat climate change. Future research will focus on empirical validation through pilot projects and simulations to further substantiate these claims.

Blockchain Based Secure File Transfer System with Password Protection

The need of secure file transfer systems is higher nowadays. In order to enhance the security and privacy of private information transferred over the internet, our paper presents a blockchain-based secure file transfer system (BSFTS) with password protection. This system takes advantage of the decentralized and immutable properties of blockchain technology to ensure that every file transfer is Safe and Secure, offering verifiable audit trails that can minimize the threats associated with data tampering and unauthorized access. Through forcing people to use strong, unique passwords for decryption as well as encryption, the combination of password protection further secures files by ensuring that only specified people may access the information. In addition to enhancing data confidentiality, this dual-layer strategy increases defences against possible cyberthreats, including phishing and brute force attacks. Research shows that the blockchain-based secure file transfer system with password protection far exceeds standard file transfer techniques in terms of security and user experience. The results illustrate that password protection and blockchain technology work together to build a robust framework for secure file sharing. For companies trying to enhance their data protection plans in the face of changing security threats in the world of technology, this study provides helpful data

Blockchain on Sustainable Environmental Measures: A Review

Blockchain has emerged as a solution for ensuring accurate and truthful environmental variable monitoring needed for the management of pollutants and natural resources. The immutability property of blockchain helps protect the measured data on pollution and natural resources to enable truthful reporting and effective management and control of polluting agents. However, specifics on what to measure, how to use blockchain, and highlighting which blockchain frameworks have been adopted need to be explored to fill the research gaps. Therefore, we review existing works on the use of blockchain for monitoring and managing environmental variables in this paper. Specifically, we examine existing blockchain applications on greenhouse gas emissions, solid and plastic waste, food waste, food security, water usage, and the circular economy and identify what motivates the adoption of blockchain, features sought, used blockchain frameworks and consensus algorithms, and the adopted supporting technologies to complement data sensing and reporting. We conclude the review by identifying practical works that provide implementation details for rapid adoption and remaining challenges that merit future research.

Predictability of ecological and evolutionary dynamics in a changing world.

Ecological and evolutionary predictions are being increasingly employed to inform decision-makers confronted with intensifying pressures on biodiversity. For these efforts to effectively guide conservation actions, knowing the limit of predictability is pivotal. In this study, we provide realistic expectations for the enterprise of predicting changes in ecological and evolutionary observations through time. We begin with an intuitive explanation of predictability (the extent to which predictions are possible) employing an easy-to-use metric, predictive power PP(t). To illustrate the challenge of forecasting, we then show that among insects, birds, fishes and mammals, (i) 50% of the populations are predictable at most 1 year in advance and (ii) the median 1-year-ahead predictive power corresponds to a prediction R 2 of only 20%. Predictability is not an immutable property of ecological systems. For example, different harvesting strategies can impact the predictability of exploited populations to varying degrees. Moreover, incorporating explanatory variables, accounting for time trends and considering multivariate time series can enhance predictability. To effectively address the challenge of biodiversity loss, researchers and practitioners must be aware of the information within the available data that can be used for prediction and explore efficient ways to leverage this knowledge for environmental stewardship.

Role of Blockchain Technology in Enhancing Supplychain Traceability, Transparency and Efficiency

The conventional traceability system faces challenges such as centralized control, lack of transparency, unreliable data, and the frequent creation of information silos. To address these issues, this paper introduces a blockchain-based traceability system tailored for the storage and retrieval of product information in the agricultural supply chain. Utilizing blockchain's inherent properties of decentralization, immutability, and traceability, this system enhances the transparency and trustworthiness of traceability data. Furthermore, the integration of blockchain technology with cryptography is suggested to enable the secure exchange of private information within the blockchain network. Additionally, we have developed a reputation-based smart contract system to motivate network participants to contribute traceability data actively. This approach aims to leverage blockchain's capabilities to overcome the limitations of traditional traceability systems in the agricultural sector. This research paper explores the role of blockchain technology in enhancing supply chain transparency and efficiency, focused on food and agriculture sector. It underscores the growing consumer demand for authentic product and the challenges of maintaining transparency is increasingly becoming difficult in global and complex markets. Findings reveal that blockchain has significant capabilities to increases transparency, traceability, and security, while potentially reducing costs and errors. However, the study also identifies challenges, such as technological complexities, scalability issues, regulatory uncertainties, and integration hurdles. A strategic framework for adopting blockchain in retail supply chains is proposed, offering insights for practitioners and policy considerations. The paper also designs a novel traceability system for agricultural product supply chains, employing blockchain technology to address issues such as centralized management, opaque information, and data unreliability. The study concludes that while blockchain technology presents significant opportunities for transforming supply chains, realizing its full potential necessitates careful strategizing and sector-wide collaboration. The research offers recommendations for practitioners and outlines directions for future research, highlighting that the successful application of blockchain hinges on organizational adjustments and meeting specific boundary conditions.

Leveraging AI and Blockchain for Privacy Preservation and Security in Fog Computing

INTRODUCTION: Cloud computing's offshoot, fog computing, moves crucial data storage, processing, and networking capabilities closer to the people who need them. There are certain advantages, such improved efficiency and lower latency, but there are also some major privacy and security concerns. For these reasons, this article presents a new paradigm for fog computing that makes use of blockchain and Artificial Intelligence (AI).
 OBJECTIVES: The main goal of this research is to create and assess a thorough framework for fog computing that incorporates AI and blockchain technology. With an emphasis on protecting the privacy and integrity of data transactions and streamlining the management of massive amounts of data, this project seeks to improve the security and privacy of Industrial Internet of Things (IIoT) systems that are cloud-based.
 METHODS: Social network analysis methods are utilised in this study. The efficiency and accuracy of data processing in fog computing are guaranteed by the application of artificial intelligence, most especially Support Vector Machine (SVM), due to its resilience in classification and regression tasks. The network's security and reliability are enhanced by incorporating blockchain technology, which creates a decentralised system that is tamper resistant. To make users' data more private, zero-knowledge proof techniques are used to confirm ownership of data without actually disclosing it.
 RESULTS: When applied to fog computing data, the suggested approach achieves a remarkable classification accuracy of 99.8 percent. While the consensus decision-making process of the blockchain guarantees trustworthy and secure operations, the support vector machine (SVM) efficiently handles massive data analyses. Even in delicate situations, the zero-knowledge proof techniques manage to keep data private. When these technologies are integrated into the fog computing ecosystem, the chances of data breaches and illegal access are greatly reduced.
 CONCLUSION: Fog computing, which combines AI with blockchain, offers a powerful answer to the privacy and security issues with cloud centric IIoT systems. Combining SVM with AI makes data processing more efficient, while blockchain's decentralised and immutable properties make it a strong security measure. Additional security for user privacy is provided via zero-knowledge proofs. Improving the privacy and security of fog computing networks has never been easier than with this novel method.

Auditable Blockchain Rewriting in Permissioned Setting With Mandatory Revocability for IoT

The Internet of Things (IoT) connects everyday devices and generates real-time data that have greatly prompted business and life efficiency. The integration of IoT and blockchain has made IoT data management and storage more trustworthy. However, despite that the immutability property contributes a lot to the trustable reputation of blockchain-based IoT systems, from a data processing perspective, it is desired to achieve skillful and secure blockchain rewriting for scenarios such as device data sharing. Existing blockchain rewriting solutions usually rely on centralized modifiers where the rewriting power is difficult to control or withdraw. In this paper, we propose a new auditable redactable blockchain scheme named ACHR that supports self-management and mandatory revocation of the rewriting privilege. The scheme allows user devices to rewrite their blockchain transactions under strict auditing to ensure content security. To prevent centralization or rewriting power abuses, the revocation trapdoor can be computed compulsorily by an auditor when a redaction is published to the blockchain. We introduce a generic construction and an instantiation of the ACHR scheme for building the redactable blockchain and prove its security. We provide a prototype implementation to demonstrate that our scheme is effective and efficient compared to the traditional blockchain-IoT system with immutability.

A Secure System for Buying and Verifying the Authenticity of Drugs Using Blockchain Technology

In the healthcare sector, ensuring the safety and legitimacy of drugs is a top priority. Counterfeit pharmaceuticals are a major problem for the industry, as they not only cause financial losses but also endanger public health and safety. These fake medications are hazardous or inefficient, putting lives at risk. The dissemination of fake medications has not been stopped by the use of conventional techniques for confirming drug legitimacy. This project presents a novel way to improve the security and authenticity of pharmaceutical purchases by utilizing blockchain technology. The key focus of this innovative project is to devise a blockchain-based secure system that will enable drug producers, distributors, and consumers to safely check the legitimacy of pharmaceuticals and track their provenance throughout the supply chain. The utilization of decentralized and immutable properties of blockchain technology makes it possible to create a transparent and impenetrable platform for documenting and confirming drug-related transactions. The blockchain will securely store every stage of the pharmaceutical supply chain, from production to retail, establishing a transparently traceable framework. Implementing a secure blockchain-based system for drug authentication helps effectively build trust within the pharmaceutical supply chain, protect consumers from counterfeit drugs, and make a positive impact on the overall improvement of public health. The transparency and security offered by blockchain technology in drug transactions have the potential to revolutionize the pharmaceutical industry, fostering a more reliable environment for drug procurement and distribution.

ZeroTrustBlock: Enhancing Security, Privacy, and Interoperability of Sensitive Data through ZeroTrust Permissioned Blockchain

With the digitization of healthcare, an immense amount of sensitive medical data are generated and shared between various healthcare stakeholders—however, traditional health data management mechanisms present interoperability, security, and privacy challenges. The centralized nature of current health information systems leads to single points of failure, making the data vulnerable to cyberattacks. Patients also have little control over their medical records, raising privacy concerns. Blockchain technology presents a promising solution to these challenges through its decentralized, transparent, and immutable properties. This research proposes ZeroTrustBlock, a comprehensive blockchain framework for secure and private health information exchange. The decentralized ledger enhances integrity, while permissioned access and smart contracts enable patient-centric control over medical data sharing. A hybrid on-chain and off-chain storage model balances transparency with confidentiality. Integration gateways bridge ZeroTrustBlock protocols with existing systems like EHRs. Implemented on Hyperledger Fabric, ZeroTrustBlock demonstrates substantial security improvements over mainstream databases via cryptographic mechanisms, formal privacy-preserving protocols, and access policies enacting patient consent. Results validate the architecture’s effectiveness in achieving 14,200 TPS average throughput, 480 ms average latency for 100,000 concurrent transactions, and linear scalability up to 20 nodes. However, enhancements around performance, advanced cryptography, and real-world pilots are future work. Overall, ZeroTrustBlock provides a robust application of blockchain capabilities to transform security, privacy, interoperability, and patient agency in health data management.

Secure and Transparent Supply Chain Management using Blockchain and IoT

Blockchain technology has emerged as a disruptive force across various industries, and its integration with the Internet of Things (IoT) has unlocked new avenues for supply chain management. The conventional supply chain systems often encounter challenges related to privacy, security, and data integrity. In contrast, blockchain's decentralized and tamper-proof nature ensures a secure, auditable, and transparent record of product movement within the supply chain. By leveraging the immutable properties of blockchain, the system enhances product traceability, authenticity, and accountability while significantly reducing operational costs. IoT devices are vulnerable to attack as due to low processing power, storage limitations etc. Blockchain integrated with IoT provides a solution faced by the several industries. Blockchains and smart contracts are technology that has gained massive attention. The integration of blockchain addresses these shortcomings by providing robust data security and integrity, minimizing the risk of unauthorized access or alteration. This paper presents a system that helps the industrialist to have an access to agricultural data and supply of crops data to farmer. As industries continue to embrace digitization and connectivity, the presented system offers a significant step towards a more streamlined and secure future for agricultural information sharing. This system will be effective for the supply chain management for the trusted delivery.

Unveiling Fakes: A Blockchain-Backed Approach for Product Authentication

Abstract: In recent years, the proliferation of counterfeit products has become a pervasive issue, posing significant challenges to consumers, businesses, and governments worldwide. Traditional methods of detecting fake products often fall short due to their reliance on centralized databases, which can be tampered with or manipulated. However, blockchain technology, with its decentralized and transparent nature, offers a promising solution for detecting fake products. This paper presents a novel approach for fake product detection using blockchain technology, leveraging its inherent properties of immutability, transparency, and distributed consensus. The proposed system utilizes a blockchain-based registry that securely records product information, such as serial numbers, manufacturing details, and supply chain data, at each stage of the product's lifecycle. Through smart contracts and cryptographic techniques, the system ensures that product information is authentic and cannot be tampered with. Moreover, the system allows consumers, businesses, and other stakeholders to easily verify the authenticity of a product by accessing the blockchain registry, thereby empowering them to make informed purchasing decisions. The paper also discusses the potential benefits and challenges of implementing blockchain-based fake product detection, including increased consumer trust, improved supply chain visibility, and enhanced brand protection, as well as considerations such as privacy, scalability, and interoperability. Overall, this paper contributes to the emerging field of blockchain applications in supply chain management and counterfeit detection, providing insights and recommendations for future research and development in this area.

Three lines model paradigm shift: a blockchain-based control framework

PurposeWhile the three lines model (TLM) provides an organizational structure to execute risk and control duties, research and practice show limitations in the model's implementation. These limitations result in governance issues. Such issues, together with control weaknesses, could be addressed by leveraging properties of distribution, transparency, and immutability of blockchain technology. To this end, in this paper the authors propose a conceptual control framework based on blockchain technology to augment control practice.Design/methodology/approachThe design of the resulting blockchain-based control framework (BBCF) and its prototype, based on the design science research methodology (DSRM), is presented and discussed in terms of the potential impact in the context of the identified problems within the TLM.FindingsOne potential outcome of BBCF could be to redefine the scope and boundaries of some of the activities in audit and control practices from a more static to a more dynamic and prospective role. In a larger context of improving governance practices, the BBCF could set the path for a more inclusive and participatory interaction between the different governance actors of an organization.Research limitations/implicationsHowever, this assumes that blockchain is more widely adopted despite its complexity and rigidity.Practical implicationsBBCF covering both a conceptual model design and a reference implementation provides an innovation in audit and control. BBCF could include all relevant stakeholders who have an interest in corporate governance and control activities, including the regulators.Originality/valueThe contribution intends to serve both as a starting point for discussing the evolution of audit and control practice based on blockchain technology, as well as an initial actionable prototype for experimentation and further development.

Blockchain Based Crowdfunding Using Ethereum Smart Contract

Abstract: This research paper explores the emerging field of crowdfunding and its integration with blockchain technology. Crowdfunding has gained significant traction as a viable alternative to traditional funding methods, empowering entrepreneurs and innovators to raise capital directly from the public. However, this fundraising model is not without its limitations, including issues of trust, transparency, and intermediaries' control over the process. In recent years, blockchain technology has emerged as a potential solution to address these challenges. Blockchain's inherent properties of transparency, immutability, and decentralization offer promising opportunities for transforming the crowdfunding landscape. This research paper presents a comprehensive analysis of the benefits and challenges associated with implementing blockchain in crowdfunding. It examines real-world use cases and discusses how blockchain enhances transparency, mitigates fraud risks, reduces transaction costs, and enables global participation. Furthermore, it explores the potential impact of blockchain on crowdfunding ecosystems, including its implications for investors, entrepreneurs, and regulatory frameworks.

Blockchain-Based Framework for Interoperable Electronic Health Records for an Improved Healthcare System

The healthcare industry has been transitioning from paper-based medical records to electronic health records (EHRs) in most healthcare facilities. However, the current EHR frameworks face challenges in secure data storage, credibility, and management. Interoperability and user control of personal data are also significant concerns in the healthcare sector. Although block chain technology has emerged as a powerful solution that can offer the properties of immutability, security, and user control on stored records, its potential application in EHR frameworks is not yet fully understood. To address this gap in knowledge, this research aims to provide an interoperable blockchain-based EHR framework that can fulfill the requirements defined by various national and international EHR standards such as HIPAA and HL7. The research method employed is a systematic literature review to explore the current state of the art in the field of EHRs, including blockchain-based implementations of EHRs. The study defines the interoperability issues in the existing blockchain-based EHR frameworks, reviews various national and international standards of EHR, and further defines the interoperability requirements based on these standards. The proposed framework can offer safer methods to interchange health information for the healthcare sector and can provide the properties of immutability, security, and user control on stored records without the need for centralized storage. The contributions of this work include enhancing the understanding of the potential application of blockchain technology in EHR frameworks and proposing an interoperable blockchain-based EHR framework that can fulfill the requirements defined by various national and international EHR standards. Overall, this study has significant implications for the healthcare sector, as it can enhance the secure sharing and storage of electronic health data while ensuring the confidentiality, privacy, and integrity of medical records.

An efficient approach to secure smart contract of Ethereum blockchain using hybrid security analysis approach

The technology behind blockchain is quickly becoming one of the most crucial innovations in recent years. The Smart contracts are digital agreements, made in between two untrusted parties. Smart contracts are self-executable small piece of code that gets executed due to some predefined triggering conditions. Smart contracts store cryptocurrencies as their balances and deal in cryptocurrencies on network transactions. Because of this, smart contracts are constantly open to the possibility of being attacked. A single security vulnerability can make the smart contract very much insecure. The immutability property of the blockchain ensures that, once a smart contract has been placed on the blockchain, cannot be modified in any way. So, the smart contract must be analyzed for any kind of security vulnerability before its deployment on the blockchain. Existing analysis approaches detect vulnerabilities with high false positive rates. Our proposed approach analyses the smart contracts using a hybrid combination of pattern matching and symbolic execution, which produces results with a low false positive rate. We have performed a comparative analysis of our proposed approach to prove its efficiency with the existing research approaches on a data set of 453 smart contracts with tagged vulnerabilities.

A Blockchain-Facilitated Secure Sensing Data Processing and Logging System

In this paper, we present the design, implementation, and evaluation of a secure sensing data processing and logging system. The system is inspired and enabled by blockchain. In this system, a public blockchain is used as immutable data store to store the most critical data needed to secure the system. Furthermore, several innovative blockchain-inspired mechanisms have been incorporated into the system to provide additional security for the system’s operations. The first priority in securing sensing data processing and logging is admission control, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e</i> ., only legitimate sensing data are accepted for processing and logging. This is achieved via a sensor identification and authentication mechanism. The second priority is to ensure that the logged data remain intact overtime. This is achieved by storing a small amount of data condensed from the raw sensing data on a public blockchain. A Merkel-tree based mechanism is devised to link the raw sensing data stored off-chain to the condensed data placed on public blockchain. This mechanism passes the data immutability property of a public blockchain to the raw sensing data stored off-chain. Third, the raw sensing data stored off-chain are secured with a self-protection mechanism where the raw sensing data are grouped into chained blocks with a moderate amount of proof-of-work. This scheme prevents an adversary from making arbitrary changes to the logged data within a short period of time. Fourth, mechanisms are developed to facilitate the search of the condensed data placed on the public blockchain and the verification of the raw sensing data using the condensed data placed on the public blockchain. The system is implemented in Python except the graphical user interface, which is developed using C#. The functionality and feasibility of the system have been evaluated locally and with two public blockchain systems, one is the IOTA Shimmer test network, and the other is Ethereum.

The psycholinguistics of propaganda: mechanisms of subjugation and how to challenge them

This paper reviews current research on the oppressive and dehumanizing use of language by those in political power to promote essentialist thought about oppositional groups, including during the war in Ukraine. Essentialism is the implicit belief that categories of people–those of certain ethnicities or nationalities, for example–have intrinsic, immutable properties, driven by some deep, unobservable, and often deterministic causal essence. There is robust evidence that cross-culturally, both young children and adults sometimes employ an essentialist heuristic when reasoning about cultural traits, and that they see others’ traits as being less mutable than their own. Strikingly, though, cultures vary drastically in the particulars and extent of this cultural essentialism. Thus, it seems clear that cultural input can to some degree either exploit or overwrite a tendency toward cultural essentialism, with language being an especially powerful mechanism. In this paper, I demonstrate ways that language is intentionally used by those with political power to promote essentialist thought and to justify violence. In particular, I highlight use of generic language, ascriptive definitions, and the language of opposites within propaganda. I end with consideration of ways to be responsive to instances of propaganda within our own communities and as global citizens, such as through pro-social repurposing of the linguistic tools that have been used destructively, promoting nuance through the use of differentiated language, and by capitalizing on an intuitive human belief in essential goodness and desire for truth.

EBDL: Effective blockchain-based covert storage channel with dynamic labels

Blockchain-based covert communication has opened up a new research direction for the covert communication field. In blockchain-based storage covert communication, reliability can be guaranteed because of the inherent immutable property of blockchain. Besides, enhanced undetectability is also achieved because the sender and the receiver do not need to establish a direct connection or be online simultaneously. However, in existing blockchain-based solutions, pre-negotiated and fixed addresses are used as static labels to scan the specific transaction that embeds covert messages, which increases the risk of channel exposure. Moreover, some of them do not support large covert message transmission. In this paper, we present an effective blockchain-based covert storage channel with dynamic labels. More specifically, a novel dynamic label mechanism is proposed to help the receiver extract the covert message efficiently, whereas adversaries cannot distinguish whether a block contains specific transactions. Besides, a message segmentation mechanism is also proposed to achieve large covert message transmission. Theoretical security analysis and detailed experimental evaluations based on the public Ethereum blockchain network show that the proposed scheme is secure under Chosen Hidden-text Attacks with acceptable efficiency.

Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition

In this paper, a CNN-based structure for the time-frequency localization of information is proposed for Persian speech recognition. Research has shown that the receptive fields’ spectrotemporal plasticity of some neurons in mammals’ primary auditory cortex and midbrain makes localization facilities improve recognition performance. Over the past few years, much work has been done to localize time-frequency information in ASR systems, using the spatial or temporal immutability properties of methods such as HMMs, TDNNs, CNNs, and LSTM-RNNs. However, most of these models have large parameter volumes and are challenging to train. For this purpose, we have presented a structure called Time-Frequency Convolutional Maxout Neural Network (TFCMNN) in which parallel time-domain and frequency-domain 1D-CMNNs are applied simultaneously and independently to the spectrogram, and then their outputs are concatenated and applied jointly to a fully connected Maxout network for classification. To improve the performance of this structure, we have used newly developed methods and models such as Dropout, maxout, and weight normalization. Two sets of experiments were designed and implemented on the FARSDAT dataset to evaluate the performance of this model compared to conventional 1D-CMNN models. According to the experimental results, the average recognition score of TFCMNN models is about 1.6% higher than the average of conventional 1D-CMNN models. In addition, the average training time of the TFCMNN models is about 17 h lower than the average training time of traditional models. Therefore, as proven in other sources, time-frequency localization in ASR systems increases system accuracy and speeds up the training process.

FAKE PRODUCT IDENTIFICATION USING BLOCK CHAIN

In the current supply chain, there are several phoney items. It is vital to have a system in place that allows end users to examine all data about the goods they are purchasing in order to determine whether the product is authentic or not. Blockchain technology is a network of peer-to- peer nodes that keep a record of transactions, also known as blocks, and commonly referred to as "chains" in various databases. This type of storage is sometimes referred to as "digital ledge." It has a distributed file system and immutable properties. IPFS (Inter Planetary File System), a Distributed Web File System, is used by our system to track product ownership. IPFS is more helpful than http because it can efficiently distribute large amounts of data and does not allow duplication. IPFS and the Blockchain have a lot in common. IPFS allows you to handle large amounts of data and embed immutable, persistent IPFS links in blockchain transactions. This protects and time stamps your content without having to place the data on the chain. The system keeps track of the product's maker, how ownership changes, and allows customers to see who is the current owner of the goods. Customers will be given a Graphical user interface (GUI) to scan QR codes associated with products, and information about those products will be shown. KEYWORDS – Inter Planetary File System (IPFS), Blockchain, supply chain, QR code.