Pratyush Kumar Patro, Raja Jayaraman, Adolf Acquaye, Khaled Salah · 5 authors
The aviation industry's carbon emissions are forecast to rise to 22% by 2050, posing a significant challenge to the goal of achieving Net Zero Emissions by the same year. Regardless of the structural or agentic strategies implemented to reduce these emissions, ensuring effective traceability of emissions in airline operations is crucial, as it enables the development of effective mitigation measures. Existing systems fall short of effectively providing end-to-end traceability of emissions within an effective carbon accounting framework. Indirect emissions and the complexities associated with emissions tracking throughout the extended aviation sector also exacerbate carbon accounting and offsetting difficulties. In this paper, we present a blockchain-based framework to address these plausible challenges. The proposed work categorises both direct and indirect emissions under Scope 1, 2, and 3 classifications. A blockchain-based collaborative platform, also provides data transparency across all stakeholders, ensuring traceability and security in a decentralised and reliable manner. A prototype model of a blockchain-based system is therefore developed using Ethereum smart contracts. The paper presents a cost and security analysis of the system, while highlighting the challenges and opportunities for the development of sustainable aviation operations. The smart contract is made publicly available on Github for verification.
Olanrewaju Oluwaseun Ajayi, Chisom Elizabeth Alozie, Olumese Anthony Abieba, Joshua Idowu Akerele · 5 authors
Blockchain technology has emerged as a transformative force within the financial technology (Fintech) sector, offering unprecedented opportunities for efficiency, transparency, and security. However, its adoption also brings forth new challenges and vulnerabilities, particularly in the realm of cybersecurity. This review explores the dynamic landscape of Blockchain Technology and Cybersecurity in Fintech, highlighting both the opportunities it presents and the vulnerabilities it introduces. Blockchain technology, most notably recognized as the underlying framework for cryptocurrencies like Bitcoin and Ethereum, operates on a decentralized ledger system, enabling secure and immutable transactions. In Fintech, this technology promises enhanced transactional speed, reduced costs, and increased transparency, revolutionizing traditional banking and payment systems. Nevertheless, the decentralized nature of blockchain networks, while offering resilience against single points of failure, also poses unique cybersecurity risks. Smart contracts, self-executing contracts with the terms of the agreement directly written into code, introduce vulnerabilities such as code bugs and exploits. Moreover, the anonymity associated with blockchain transactions has raised concerns regarding illicit activities, money laundering, and terrorist financing. In response to these challenges, the intersection of Blockchain Technology and Cybersecurity in Fintech offers opportunities for innovation. Advanced cryptographic techniques, such as multi-signature authentication and zero-knowledge proofs, are being leveraged to enhance security and privacy in blockchain-based systems. Additionally, regulatory frameworks are evolving to address the emerging risks associated with Fintech innovations, ensuring compliance and consumer protection. While Blockchain Technology presents promising opportunities for revolutionizing Fintech, its integration must be accompanied by robust cybersecurity measures to mitigate vulnerabilities and safeguard against potential threats. Collaborative efforts between industry stakeholders, regulators, and cybersecurity experts are imperative to foster a secure and resilient ecosystem for blockchain-based financial services.
Amit Kumar Sharma, L. Ganesh Babu, Mrunalini Buradkar, M. Shanmathi · 6 authors
PURPOSE: With a focus on enhancing transparency, lowering the risk of fraud, and ensuring ethical sourcing practices, this research aims to investigate how blockchain and IoT technologies can be incorporated into the diamond supply chain. This study addresses the complexities and challenges of implementing these technologies in an industry characterized by fragmented information sharing and centralized data storage. DESIGN/METHODOLOGY/APPROACH: Using both qualitative and quantitative analysis, the research uses a mixed-methods approach. While secondary data was obtained from previously published works, industry reports, and case studies, primary data was gathered through semi-structured interviews with professionals in the field. The implementation of the prototype system was carried out in three phases: Define, Operate, and Test. Ethereum was chosen for its smart contract capabilities, and various IoT sensors were deployed to monitor environmental conditions and track the real-time location of diamonds. FINDINGS: The integration of blockchain and IoT technologies significantly enhanced transparency within the diamond supply chain. The immutable nature of blockchain ensured tamper-proof records of transactions, while IoT sensors provided continuous real-time data, reinforcing transparency. The study observed a notable reduction in fraud due to the robust mechanisms of the system, which detected and prevented unauthorized alterations to the recorded data. Smart contracts automated compliance checks, ensuring adherence to ethical standards. Quantitative analysis revealed improvements in key metrics such as fraud reduction rates, transparency enhancements, and adherence to ethical sourcing standards. ORIGINALITY/VALUE: This study bridges a notable gap in existing research by focusing on the diamond supply chain. It provides comprehensive, data-driven insights and practical recommendations for industry stakeholders and policymakers. The results highlight how combining blockchain and IoT technology can improve operational efficiency, transparency, and ethical practices in the diamond business. It is also feasible and scalable. The study's methods and findings add a great deal to the body of information already in existence and provide a framework for further investigation and application in related situations.
Semakin pesatnya perkembangan teknologi Internet of Things (IoT) , keamanan dan privasi data menjadi tantangan utama yang harus diatasi. Teknologi Blockchain menawarkan solusi yang menjanjikan melalui desentralisasi, transparansi, dan integritas data, yang diimplementasikan melalui Smart Contract . Penelitian ini berfokus pada optimasi penggunaan Blockchain dalam mendukung sistem IoT, termasuk upaya meningkatkan efisiensi konsumsi gas pada Smart Contract . Hasil analisis menunjukkan bahwa integrasi Blockchain dalam sistem IoT tidak hanya mampu meningkatkan keamanan data, tetapi juga mendukung pengelolaan informasi secara lebih efisien.
Operations based on cryptocurrency maintain financial infrastructures that work separately from conventional banking networks. All digital currencies operate through blockchain systems to manage their decentralized operations with digital solutions superior to basic banking functions and standardized management systems. The assessment investigates the value relationships between cryptocurrency assets and normal money provisions together with regulatory oversight and protective measures within the two systems. Both mobile payments and digital currency operations lack any factors which could interfere with their joint operations. The analysis depends on financial statistical data for standardization evaluations throughout this work. The financial industry underwent significant global changes through Bitcoin and Ethereum while Litecoin required changes that led to both positive and negative outcomes for its development. The cryptocurrency supporter group argues that asset-based crypto systems lead to reduced operational expenses and better worldwide financial outreach for wire transfers. Users of digital currency bypass traditional banking intermediaries to achieve faster processing which causes permanent breakdown at traditional banks and creates opportunities for banking customers who were previously unbanked. The cryptocurrency system remains inaccessible to computer users because of inconsistent values and safety risks and regulatory restrictions. Traditional banks invested significant time exclusively to construct their core infrastructure because such measures serve both economic safeguards and public trust requirements and regulatory standards. Standard transactions serve as essential requirements to succeed in international finance operations since banks rely on standardized systems for handling cash deposits and issuing loans while supervising money flows. Traditional bank users tend to give negative feedback due to their sluggish information processing combined with high fees and nonaccessibility to residents of remote locations and undeveloped towns. This paper uses a standardized economic analysis which examines monetary outlays against processing times as well as security procedures between the two banking systems. The research indicates that cryptocurrency provides faster worldwide payment transactions and lower costs than traditional banking procedures. The unstable crypto market shows its main weakness through hacking incidents which combine with fraudulent schemes within cryptographic security systems. Standard banking institutions perform operations at an average speed until they need extended periods for international money transfers. The study analyzes system control of decentralized operations by examining oversight concerns related to cryptocurrency management. Different national governments implement cryptocurrency regulations but several institutions remain cautious since China maintains one of the strictest crypto policies. Traditional banking security needs absolute control which prevents financial method innovation from happening. Finance systems utilizing combined cryptocurrency and traditional banking programs will develop secure systems that provide full benefits needed for worldwide financial institutions serving society across multiple levels. The study proposes academic recommendations to evaluate approaches for cryptocurrency bank integration and to study regulatory effects on business financial operations.
Dr. Aashka Thakkar, Satyajitsinh Gohil, Nitesh Mishra, Mistry Neelam
The present research examines the most prominent five cryptocurrenciesâBitcoin, Ethereum, Biance Coin, Tether, and Solanaâthat are accessible in India according on the value of their market caps. It additionally highlights the benefits and drawbacks of each type of cryptocurrency as well as the advantages of some over alternatives. The article additionally outlines important aspects of the prominent digital currencies that are accessible in India. The study also concentrates on price assessment of the top five cryptocurrencies during the last year (1 years) as well as this study also indicate the contrasting of prices volatility of cryptocurrencies.
With the rapid growth of the cryptocurrency market, researchers increasingly study the price fluctuations and market behavior of digital assets. Gold, as a traditional safe-haven asset, often shows an inverse relationship with high-risk financial assets. Recently, scholars have focused on how gold market volatility affects cryptocurrencies, exploring potential co-movement or substitution effects. This study uses Python and econometric tools, including the Vector Autoregression (VAR) model, Granger causality test, impulse response functions, and forecast error variance decomposition, to analyze the impact of gold price changes on Bitcoin and Ethereum. Using weekly closing prices from 2018 to 2024, the results show that Bitcoinâs price is positively influenced by gold futures in the short to medium term, while gold shows a negative feedback response to Bitcoinâs returns with a two-period lag. Ethereum appears more independent and less affected by gold or Bitcoin. Strong interlinkages exist between Bitcoin and Ethereum, with Bitcoin playing a dominant role in influencing Ethereumâs price. This study has improved the understanding of the connections between cryptocurrencies and traditional assets., which also provides investors with insightful information on portfolio management.
Krypto-Assets sind mit der zunehmenden Beliebtheit von KryptowĂ€hrungen ein verbreitetes Anlageprodukt geworden. Das Ziel der Arbeit besteht darin, das Konzept der Blockchain mit entsprechender technischer Umsetzung zu erlĂ€utern, die Investitionseigenschaften anhand einer Analyse aufzuzeigen und die Auseinandersetzung mit hĂ€ufigen Kritikpunkten. Die empirischâquantitative gewonnenen Daten liefern im Betrachtungszeitraum von 01.02.2018 bis 31.01.2025 folgende Erkenntnisse: Kursentwicklung: Bitcoin (1010%) weist die höchste Performance auf und ĂŒbertrifft damit Ethereum (211%) um das FĂŒnffache, den S&P 500 (114%) um das Neunfache. Tether (2%) fokussiert keine Rendite, sondern StabilitĂ€t, dient daher nur als Referenz. VolatilitĂ€t: Ethereum (1.9) hat den höchsten Spitzenwert fĂŒr die rollierende VolatilitĂ€t im 30-Tage-Fenster, gefolgt von Bitcoin (1.5). Einem vergleichbaren Bewegungsmuster folgen der S&P 500 (0.85) und Tether (0.15) und finden ihre Extremstelle ebenso im ersten Halbjahr 2020. Die deutlich geringere SchwankungsanfĂ€lligkeit des S&P 500s ist auf die höhere Diversifizierung durch die dahinterstehenden Wertpapiere zurĂŒckzufĂŒhren, bei Tether aufgrund der direkten Wertkoppelung an US-Dollar. Rendite-Risiko-VerhĂ€ltnis: Bitcoin (35%) weist in der jĂ€hrlichen Betrachtungsform die höchste annualisierte Rendite auf, gefolgt von Ethereum (15%), dem S&P 500 (10%) und Tether (0.003%). Die annualisierte Standardabweichung beschreibt das Risiko und wird von Ethereum (2.11) angefĂŒhrt, darauffolgend Bitcoin (1.21), der S&P 500 (0.19) und Tether (0.008). Im sich daraus ergebenden Rendite-Risiko-VerhĂ€ltnis fĂŒhrt der S&P 500 (0.39), danach folgen Bitcoin (0.26), Ethereum (0.04) und Tether (-3.21). Somit liefert der S&P 500 trotz geringerer Performance das beste VerhĂ€ltnis aus Rendite und Risiko, was auf das deutlich geringere Risiko zurĂŒckzufĂŒhren ist. Korrelation: Bitcoin und Ethereum haben die höchste Korrelation (0.81), da beide als KryptowĂ€hrungen den gleichen Marktbedingungen ausgesetzt sind. Die Differenz zu 1 ist auf EinflĂŒsse zurĂŒckzufĂŒhren, die das Asset selbst betreffen. Der S&P 500 korreliert leicht mit Ethereum (0.3) und Bitcoin (0.28). Die geringste Korrelation weist Tether auf, im Zusammenhang mit Bitcoin (0.01), dem S&P 500 (0.01) und Ethereum (0.02). Maximum Drawdown: Ethereum (90%) hat den höchsten Verlust im Vergleich zum Höchststand. Darauf, ebenso zu Jahresende 2019, folgt Bitcoin (70%), der S&P 500 (30%) zu Beginn des Jahres 2020 und Tether (5%) Ende 2019. Gesamtbewertung: Statistisch weist Bitcoin im Vergleich zu Ethereum höhere Renditen bei geringerem Risiko auf. Die geringere Korrelation von Bitcoin mit klassischen Anlageprodukten wie dem S&P 500 kann eine Diversifikationsfunktion begrĂŒnden. Haftungsausschluss: Diese Thesis dient ausschlieĂlich akademischen Zwecken. Trotz gröĂter Sorgfalt bei der Erstellung kann keine GewĂ€hr fĂŒr die Richtigkeit und VollstĂ€ndigkeit der enthaltenen Informationen ĂŒbernommen werden. Der Autor ĂŒbernimmt keine Haftung fĂŒr Folgen, die sich aus der Verwendung dieser Arbeit ergeben. Disclaimer: This thesis is intended for academic purposes only. Although care has been taken to ensure the accuracy and completeness of the information, no guarantee is made that it is free of errors or omissions. The author assumes no responsibility for any consequences arising from its use.
A user-friendly program called âMini Wallet for Sending Ethersâ was created to make utilizing private keys to send ethers (ETH) between wallets easier. This application, which prioritizes user-friendliness, enables users to connect to their Ethereum walletsâincluding well-known choices like MetaMaskâ via the Infura API. It enables customers to effectively manage their Ethereum transactions by reducing crypto currency transactions to a few clicks, doing away with a requirement to browse complicated wallet interfaces. Notably, the program guarantees the security and integrity of transactions by adhering to accepted block chain transaction protocols. The pertinent information is safely entered into a database following every transaction, creating a complete record of all transactions. Furthermore, the sender has easy access to details about the transaction, which improves Ethereum transactionsâ accountability and transparency. For Ethereum aficionados looking for a hassle-free method to handle their crypto currency transactions, this cutting-edge technology offers an effective and user-friendly option.
Utilizing the Ethereum Geth client, we constructed a consortium blockchain and developed a smart contract in the Solidity programming language.The smart contract encompasses three primary modules: system initialization,anti-counterfeiting information upload, and anti-counterfeiting information retrieval.Through the Remix Integrated Development Environment (IDE), the smart contract was successfully deployed onto the Ethereum blockchain network.To ascertain the robustness and security of the smart contract, we conducted exhaustive deployment and invocation tests using the Ganache testing software in conjunction with the MetaMask lightweight Ethereum wallet, thereby validating the reliability and efficacy of the functions for uploading and querying anti-counterfeiting information.
Muwafaq Jawad, Ali A. Yassin, Hamid asadi, Zaid Ameen Abduljabbar · 7 authors
The Internet of Health Things (IoHT) is a network of healthcare devices, software, and systems that enable remote monitoring and healthcare services by gathering real-time health data through sensors. Despite its significant benefits for modern smart healthcare, IoHT faces growing security challenges due to the limited processing power, storage capacity, and self-defense capabilities of its devices. While blockchain-based authentication solutions have been developed to leverage tamper-resistant decentralized designs for enhanced security, they often require substantial computational resources, increased storage, and longer authentication times, hindering scalability and time efficiency in large-scale, time-critical IoHT systems. To address these challenges, we propose a novel four-phase authentication scheme comprising setup, registration, authentication, and secret construction phases. Our scheme integrates chaotic-based public key cryptosystems, a Light Encryption Device (LED) with a 3-D Lorenz chaotic map algorithm, and blockchain-based fog computing technologies to enhance both efficiency and scalability. Simulated on the Ethereum platform using Solidity and evaluated with the JMeter tool, the proposed scheme demonstrates superior performance, with a computational cost reduction of 40% compared to traditional methods like Elliptic Curve Cryptography (ECC). The average latency for registration is 1.25 ms, while the authentication phase completes in just 1.50 ms, making it highly suitable for time-critical IoHT applications. Security analysis using the Scyther tool confirms that the scheme is resistant to modern cyberattacks, including 51% attacks and hijacking, while ensuring data integrity and confidentiality. Additionally, the scheme minimizes communication costs and supports the scalability of large-scale IoHT systems. These results highlight the proposed schemeâs potential to revolutionize secure and efficient healthcare monitoring, enabling real-time, tamper-proof data management in IoHT environments.
The rise of digital currencies has introduced significant challenges and opportunities for the traditional banking sector. This study investigates how cryptocurrency adoption influences the profitability and stability of banks in China, with a focus on the moderating role of government regulation. It examines the effects of both decentralized cryptocurrencies (e.g., Bitcoin, Ethereum) and the Digital Yuan (e-CNY), China's Central Bank Digital Currency (CBDC), on key banking functions. Using a quantitative approach, data was collected through structured surveys and financial records, and analyzed using descriptive statistics, correlation analysis, multiple regression, and moderation techniques. The results show that while decentralized cryptocurrency adoption negatively affects bank profitability, CBDC usage strengthens financial stability by aligning with regulatory structures. Moreover, strong regulatory policies appear to buffer the negative financial effects of crypto adoption. These findings offer practical insights for banking institutions adapting to digital finance, and contribute to academic understanding of how innovation and regulation intersect in transforming financial systems.
In today's financial landscape, individuals face challenges when it comes to determining the most effective investment strategies. Cryptocurrencies have emerged as a recent and enticing option for investment. This paper focuses on forecasting the price of Ethereum using two distinct methods: artificial intelligence (AI)-based methods like Genetic Algorithms (GA), and econometric models such as regression analysis and time series models. The study incorporates economic indicators such as Crude Oil Prices and the Federal Funds Effective Rate, as well as global indices like the Dow Jones Industrial Average and Standard and Poor's 500, as input variables for prediction. To achieve accurate predictions for Ethereum's price one day ahead, we develop a hybrid algorithm combining Genetic Algorithms (GA) and Artificial Neural Networks (ANN). Furthermore, regression analysis serves as an additional prediction tool. Additionally, we employ the Autoregressive Moving Average (ARMA) model to assess the relationships between variables (dependent and independent variables). To evaluate the performance of our chosen methods, we utilize daily historical data encompassing economic and global indices from the beginning of 2019 until the end of 2021. The results demonstrate the superiority of AI-based approaches over econometric methods in terms of predictability, as evidenced by lower loss functions and increased accuracy. Moreover, our findings suggest that the AI approach enhances computational speed while maintaining accuracy and minimizing errors.
Prasanna Simhadati, C. Kishor Kumar Reddy, R. M. Gomathi, Supriya Telsang · 7 authors
The fast spread of Internet of Things (IoT) devices over many different fields has made network security even more crucial. Conventional security systems can fail to handle the dynamic and complex character of contemporary cyber threats aiming at IoT systems. This paper suggests a novel security framework combining blockchain technology, machine learning (ML), and a centralized iOS application to get past these constraints. The suggested approach guarantees privacy, integrity, and immutability of shared Cyber Threat Intelligence (CTI) data by using smart contracts and the Ethereum blockchain. Fundamentally, a hybrid deep learning model CNNTransLSTM is used to highly precisely detect and categorize threats in real-time. Combining Transformer encoders, Long Short-Term Memory (LSTM) networks, and Convolutional Neural Networks (CNN), this model efficiently records spatial and temporal aspects of IoT network data. By allowing users to report hazards and get alerts, the iOS app serves as an interactive hub improving human-machine cooperation. CNNTransLSTM model beats conventional approaches in terms of accuracy, sensitivity, and loss rate according to experimental evaluations. Moreover, the distributed blockchain architecture enables among stakeholders safe, open, and cooperative threat intelligence sharing. This all-encompassing strategy enables users and cloud providers to make quick, well-informed decisions to reduce risks, hence greatly improving the resilience of IoT ecosystems.
Biometric authentication is adopted in many access control scenarios in recent years. It is very convenient and secure since it compares the userâs own biometrics with those stored in the database to confirm their identification. Since then, with the vigorous development of machine learning, the performance and accuracy of biometric authentication have been greatly improved. Face recognition technology combined with convolutional neural network (CNN) is extremely efficient and has become the mainstream of access control systems (ACSs). However, identity information and access logs stored in traditional databases can be tampered by malicious insiders. Therefore, we propose a face recognition ACS that is resistant to data forgery. In this paper, a deep convolutional network is utilized to learn Euclidean embedding (based on FaceNet) of each image and achieve face recognition and verification. Quorum, which is built on the Ethereum blockchain, is used to store facial feature vectors and login information. Smart contracts are made to automatically put data into blocks on the chain. One is used to store feature vectors, and the other to record the arrival and departure times of employees. By combining these cuttingâedge technologies, an intelligent and immutable ACS that can withstand distributed denialâofâservice (DDoS) and other internal and external attacks is created. Finally, an experiment is conducted to assess the effectiveness of the proposed system to demonstrate its practicality.
Communities that stretch across international borders struggle to resolve their membersâ disputes. It is not a trifling problem. Distributed protocols such as Ethereum, EOS, and Dash host hundreds of billions of dollars in assets and handle transactions worth millions daily. Their members likely number in the tens of millions, scattered in unknown locations across the globe. Even the most successful of these communities have fractured over questions of how to interpret, apply, and amend their rules. The resulting âgovernance by hardforkâ has generated skepticism about all things crypto â from currencies, to economics, to governments. Distributed protocols need a comprehensive, trustworthy, independent set of rules for resolving disputes. Ulex, an open source legal system, offers a solution. Its substantive and procedural rules can resolve the disputes of communities stretching across international borders. Its flag-free rules, drawn from tested and trusted private and non-governmental sources, define a wide range of legal claims and the procedures to follow in resolving them. This paper explains how Ulex can upgrade the governance of distributed protocol communities, describes current efforts on that front, and paints an attractive future of open source, non-territorial law.
The rapid development of FinTech is transforming the modern economic system. Today, there are many areas of FinTech, of which cryptocurrencies deserve special attention. They became part of payment systems in a fairly short period of time, gaining wide popularity around the world. Despite difficulties with the legislative sphere, cryptocurrency is gaining leading positions in the global financial market. But not all countries have recognized it factually and legally, there are many obstacles to the legalization of cryptocurrency. The use of cryptocurrencies for criminal purposes as barter or payment for a service is quite common. It should be noted that the use of cryptocurrencies in personal finance is accompanied by a decrease in financial and investment security and an increase not only in profitability, but also in the risks of using the owner's investment portfolio. Disadvantages of the use of cryptocurrency mostly include: prohibition of the use of cryptocurrency by state institutions; after losing the password from the electronic wallet, the cryptocurrency owner can lose all virtual savings; the more complex the cryptocurrency algorithm, the more difficult it is to mine it at home; insecurity from cyber attacks; cryptocurrencies are not backed by the Deposit Guarantee Fund. The use of cryptocurrencies at the legislative level is just being formed in Ukraine and has a number of contradictions. The article is devoted to the definition of the main trends in the world of crypto currencies. At today's stage, there are many types of cryptocurrencies. Among the largest cryptocurrencies by capitalization are: Bitcoin, Ethereum, Ethereum Classic, Dash, Ripple, Monero, Litecoin, NEM, Augur, MaidSafeCoin and others. Also, the types of cryptocurrencies depend on the features of their mining, there are Bitcoin, Altcoin (Litecoin (LTC); Ethereum (ETH); Ripple (XRP) and Tokens (Ethereum; Omni; NEO; TRON. Today, the legal framework is insufficiently developed in most foreign countries and in Ukraine in particular. Therefore, international practice shows the existence of various options for regulating cryptocurrencies in the world. And it depends on what the legislator of one or another state understands by cryptocurrency: commodity, intangible asset, money, property (property), equivalent of property value, object of money transfers, means of payment or financial instrument, method of payment or exchange. In this state of consideration of the problem, the process of legalization of activity using cryptocurrencies becomes somewhat more complicated, and as a result, controversial issues arise regarding the taxation of operations related to cryptocurrencies.
Elva Leka, Luis Lamani, Arjol Lule, Klajdi Hamzallari
This paper presents a novel framework designed to enhance the certification of real estate ownership and transactions through the integration of Ethereum blockchain technology, Near Field Communication (NFC), and smart contracts. The proposed architecture establishes a secure, transparent, and efficient digital certificate management system by leveraging immutable blockchain records, decentralized document storage via the InterPlanetary File System (IPFS), and NFC paper tags for effective physical-to-digital integration. The implementation employs encryption keys, Quick Response (QR) codes, and NFC tags to ensure data integrity and accessibility. A user-centric design has been developed to accommodate various stakeholders, including property owners, buyers, notaries, and land registry officials. This solution significantly improves upon traditional real estate transaction methods by facilitating end-to-end digital transactions, enhancing transparency and traceability, and substantially reducing the risk of fraud. By empowering participants to execute transactions and update records on a decentralized platform, this system fosters increased trust and operational efficiency within the Albanian real estate market. Furthermore, the design ensures compatibility with existing tax and payment procedures, providing a seamless transition for all stakeholders involved. The findings of this project aim not only to revolutionize real estate practices in Albania, but also to offer a scalable model for global implementation. By addressing the challenges associated with property certification and transactions, this innovative system contributes to a safer, more transparent, and efficient real estate environment. This framework is characterized by legal compliance, enhanced traceability, and robust fraud prevention mechanisms, ultimately paving the way for a modernized approach to real estate management in Albania and beyond.