Follow blockchain research across journals, conferences, and preprint repositories.
2,071 results · page 21 of 87
Snehlata Snehlata, Pallavi Shukla, Ashutosh Kumar Singh, Saloni Tiwari · 6 authors
No abstract is available for this record.
Siddhant Prateek Mahanayak, Barat Nikhita, Saurabh Bilgaiyan
No abstract is available for this record.
Putra Roskhairul Fitri Bin Kaha, Syarifah Bahiyah Rahayu, Andrianto Arfan Wardhana, Moon-Gul Lee · 6 authors
With the increasing demand for secure, trustworthy, and transparent voting systems, electronic voting (e-voting) has emerged as a promising solution to address the shortcomings of traditional methods. However, traditional e-voting systems face numerous challenges in ensuring integrity, privacy, and auditability such as paper-based ballots and electronic voting machines. These traditional systems are susceptible to issues such as voter fraud, coercion, and a lack of transparency, undermining the democratic process. This paper proposes a novel approach to designing an e-voting framework using blockchain technology. By leveraging the distributed ledger and consensus mechanisms of blockchain, our framework aims to provide a secure, transparent, and tamper-resistant voting system. These features enable the creation of a secure and transparent voting system that ensures the integrity of votes, protects voter privacy, and enables verifiability and auditability of the entire voting process. The paper presents the key components, design considerations, and benefits of the proposed framework, along with an analysis of its potential challenges and future directions for research and development. The system architecture of the proposed framework establishes communication channels, data flows, and interfaces that facilitate voters' attendance, secure interactions and information exchange within the voting system. The use of smart contracts helps enforce the rules and conditions of the voting process on the blockchain, ensuring the accuracy and fairness of the electoral outcome. In conclusion, the proposed e-voting framework using blockchain technology has the potential to revolutionize the electoral process by providing a secure, transparent, and tamper-resistant voting system. By addressing the challenges of traditional e-voting systems and leveraging the inherent features of blockchain technology, we can enhance the integrity, privacy, and trustworthiness of the voting process.
K. Janani, Sriramulu Ramamoorthy
No abstract is available for this record.
Adjie Wijaya Kusuma, Arief Agus Sukmandhani, Jenny Ohliati
This research was conducted to apply other ways of transacting modern digital art using blockchain technology. This technology can help artists easily sell their works of art by verifying the ownership of digital art, where previously only physical art could do it. The use of NFT (Non-Fungible Tokens) in publishing digital artworks in a digital marketplace media platform can be a solution for the copyright of work in the future for artists in Indonesia. The developed Marketplace platform applies the Polygon Matic blockchain technology and a smart contract from a third party, namely MetaMask, to secure and process every transaction that occurs to provide security and convenience in digital commerce.
Xin Liu, Ruxue Wang, Dan Luo, Gang Xu · 7 authors
With the development of deep learning, the demand for similarity matching between texts in text classification is becoming increasingly high. How to match texts quickly under the premise of keeping private information secure has become a research hotspot. However, most existing protocols currently have full set limitations, and the applicability of these methods is limited when the data size is large and scattered. Therefore, this paper applies the secure vector calculation method for text similarity matching in the case of data without any complete set constraints, and it designs a secure computation protocol of text similarity (SCTS) based on the semi-honest model. At the same time, elliptic-curve cryptography technology is used to greatly improve the execution efficiency of the protocol. In addition, we also analyzed the possibility of the malicious behavior of participants in the semi-honest-model protocol, and further designed an SCTS protocol suitable for the malicious model using the cut-and-choose and zero-knowledge-proof methods. By proposing a security mechanism, this protocol aims to provide a reliable and secure computing solution that can effectively prevent malicious attacks and interference. Finally, through the analysis of the efficiencies of the existing protocols, the efficiencies of the protocols under the malicious model are further verified, and the practical value for text classification in deep learning is demonstrated.
S Ezhilmathi, Selvakumara Samy. S
Digital currencies have emerged as a new platform for money laundering as the first blockchain platform to support smart contracts, and the number of transaction records for Bitcoin has expanded substantially in recent years. Due to privacy services such as tumblers, which conceal the identities of payers and payees, pseudonymous digital currencies are frequently referred to as anonymous address and untraceable. A large proportion of accounts participating in Bitcoin transactions are engaging in illegal activity. According to the digital ledger, a transaction was transferred from one of many potential payers to one of many possible payees. As a consequence, it is vital to have a dependable system for classifying accounts and keeping track of the transactions linked with each account. We utilized machine learning techniques to apply multi-class classification methods to a Bitcoin transaction record obtained from kaggle.com in order to improve the model’s accuracy. Experiment results show that ML algorithms like logistic regression, random forests, and multilayer perceptron’s with the macro-average F1 score for bitcoin tumblers outperform state-of-the-art approaches for identifying unknown digital currency accounts, with the RF model outperforming LR and MLP by 97% accuracy.
Daniel Melero Martinez, Mohammed El‐Hajj
In recent years, music streaming has emerged as the primary method for users to enjoy their favorite songs. Music Streaming Services (MSS) have risen to become influential entities in the music industry, exemplified by Spotify’s impressive 406 million monthly active users by the end of 2021. However, many artists express concerns that the current MSS model fails to adequately compensate them for their music, raising questions about fairness. To tackle this issue, this paper proposes the implementation of IOTA-MSS, a Pay-per-Play Music Streaming System that leverages the secure and scalable IOTA distributed ledger technology (DLT). By harnessing the capabilities of IOTA’s DLT, IOTA-MSS offers a platform that enables seamless microtransactions. This innovative system empowers users to play and distribute music in real-time while ensuring that rights holders receive corresponding payments. Through the utilization of IOTA’s DLT, IOTA-MSS addresses the challenges faced by artists, providing a more equitable solution for music compensation. By adopting a Pay-per-Play model, this system aligns artist remuneration with the actual usage and popularity of their music. Furthermore, IOTA-MSS enhances the user experience, offering a secure and efficient platform for music enthusiasts to engage with their favorite tunes.
Meher Gayatri Devi Tiwari, Kakelli Anil Kumar
No abstract is available for this record.
Yathin Kethepalli, Rony Joseph, Sai Raja Vajrala, Jashwanth Vemula · 5 authors
Crypto-wallets or digital asset wallets are a crucial aspect of managing cryptocurrencies and other digital assets such as NFTs. However, these wallets are not immune to security threats, particularly from the growing risk of quantum computing. The use of traditional public-key cryptography systems in digital asset wallets makes them vulnerable to attacks from quantum computers, which may increase in the future. Moreover, current digital wallets require users to keep track of seed-phrases, which can be challenging and lead to additional security risks. To overcome these challenges, a new algorithm is proposed that uses post-quantum cryptography (PQC) and zero-knowledge proof (ZKP) to enhance the security of digital asset wallets. The research focuses on the use of the Lattice-based Threshold Secret Sharing Scheme (LTSSS), Kyber Algorithm for key generation and ZKP for wallet unlocking, providing a more secure and user-friendly alternative to seed-phrase, brain and multi-sig protocol wallets. This algorithm also includes several innovative security features such as recovery of wallets in case of downtime of the server, and the ability to rekey the private key associated with a specific username-password combination, offering improved security and usability. The incorporation of PQC and ZKP provides a robust and comprehensive framework for securing digital assets in the present and future. This research aims to address the security challenges faced by digital asset wallets and proposes practical solutions to ensure their safety in the era of quantum computing.
Mauro Conti, Ankit Gangwal, Chhagan Lal, Sushmita Ruj
No abstract is available for this record.
Abhay Pratap Singh, A. Sri Ganesh, Rutuja Rajendra Patil, Sumit Kumar · 6 authors
Voting is a democratic process that allows individuals to choose their leaders and voice their opinions. However, the current situation with physical voting involves long queues, paper-based ballots, and security challenges. Blockchain-based voting models have appeared as a method to address the limitations of traditional voting methods. As blockchain is distributed and decentralized, which uses hash functions for securing transactions, it dramatically improves the existing voting system. These digital platforms eliminate the need for physical presence, reduce paperwork, and ensure the integrity of votes through transparent and tamper-proof blockchain technology. This paper introduces a blockchain-based voting model to enhance accessibility, security, and efficiency in the voting process. The research focuses on developing a robust and user-friendly voting system by leveraging the advantages of decentralized technology. The proposed model employs Ethereum as the underlying blockchain platform through an innovative and iterative approach. The model uses Smart contracts to record and validate votes, while AI-based facial recognition technology is integrated to verify the identity of voters. Rigorous testing and analysis are conducted to validate the effectiveness and reliability of the proposed blockchain-based voting model. The system underwent extensive simulation scenarios and stress tests to evaluate its performance, security, and usability.
Mila Dalla Preda, Francesco Masaia
Blockchain technology has brought notable advancements to diverse industries. The introduction of non-fungible tokens (NFTs) has particularly led to a lucrative market for unique digital asset ownership verification, including digital artworks. However, this trend has also given rise to concerns such as fraud, stolen works, authenticity, and copyright issues. Illicit traders exploit the market by trading unauthorized copies of digital objects as NFTs. In this study, we propose the use of digital watermarking as a means to establish the authenticity of NFTs and enhance the marketplace’s credibility.
Reineir S. Duran, Charven B. Balbon, Justine Zenon E. Balmes, Pol Brian G. Castro · 8 authors
EASY E-VOTE is a student government election voting system that utilized Ethereum blockchain, IPFS (Interplanetary File System), and MetaMask. This paper addressed challenges in traditional e-voting systems by introducing blockchain technology. The Ethereum blockchain provided security and immutability, while IPFS ensured efficient and distributed data storage. MetaMask offered a user-friendly interface. Moreover, the study reviewed literature on e-voting system security, immutability, data storage, distribution, privacy, and anonymity. As part of its data gathering, the study encompassed smart contract testing and a mock election using the proposed system. These experiments demonstrated system functionality and effectiveness. Overall, EASY E-VOTE offered a promising solution for student government elections, addressing limitations of traditional e-voting systems. Blockchain, IPFS, and MetaMask contributed to system security, data integrity, and user-friendliness, making it a viable alternative for transparent and trustworthy elections.
Musan Eltuhami, Munaisyah Abdullahe, Bazilah A. Talip, Nik Nazli Nik Ahmad
Ensuring the integrity of voting systems is essential for the functioning of modern democratic societies. However, election interference and fraud remain persistent issues that threaten to undermine public trust in the democratic process. While blockchain technology has the potential to improve traceability and transparency in voting systems, the current use of fungible tokens in blockchain-based voting systems leaves them vulnerable to manipulation through vote buying and selling. To address this problem, this research proposes the use of non-fungible tokens (NFTs) with smart contract functions for voting systems. This novel approach effectively represents complicated operations and ensures integrity, security, and privacy. in addition, it prevents fraud, corruption, tampering, and counterfeiting. The research will develop a framework and analyse the use of NFTs in voting systems to improve the integrity of the democratic process.
Anand N. Patil, Sujata V. Mallapur
<p>Adaptive transport technologies based on vehicular ad hoc networks (VANET) has proven considerable potential in light of the developing expansion of driver assistance and automobile telecommunication systems. However, confidentiality and safety are the vital challenges in vehicular ad hoc networks which could be seriously impaired by malicious attackers. While protecting vehicle privacy from threats, it is imperative to stop internal vehicles from putting out bogus messages. Considering these issues, a novel machine learning based message authentication combined with blockchain and inter planetary file system (IPFS) is proposed to achieve message dissemination in a secured way. Blockchain is the emerging technology which attempts to solve these problems by producing tamper proof events of records in a distributed environment and inter planetary file system used in the framework is a protocol designed to store the event with content addressability. Along with this combined technology, the source metadata information collected from the inter planetary file system is stored via a smart contract and uploaded to the distributed ledger technology (DLT). For performing event authentication, K-means clustering and support vector machine (SVM) classifier is employed in this framework. K-means clustering performs clustering of vehicles and it is marked malicious or not malicious. After clustering, support vector machine classifier detects the malicious event messages. By this way, the malicious messages are identified and it is dropped. Only the secure messages are forwarded in the network. Finally, our approach is capable of creating a safe and decentralized vehicular ad hoc network architecture with accountability and confidentiality through theoretical study and simulations.</p>
S Sultana, Ch. Rupa, R. Pavana Malleswari, Thippa Reddy Gadekallu
In the digital age, ensuring the authenticity and security of academic certificates is a critical challenge faced by educational institutions, employers, and individuals alike. Traditional methods for verifying academic credentials are often cumbersome, time-consuming, and susceptible to fraud. However, the emergence of blockchain technology offers a promising solution to address these issues. The proposed system utilizes a blockchain network, where each academic certificate is stored as a digital asset on the blockchain. These digital certificates are cryptographically secured, timestamped, and associated with unique identifiers, such as hashes or public keys, ensuring their integrity and immutability. Anyone with access to the blockchain network can verify a certificate’s authenticity, using the MetaMask extension and Ethereum network, eliminating the need for intermediaries and reducing the risk of fraudulent credentials. The main strength of the paper is that the data that are stored in the blockchain are unique identifiers of the encrypted data, which is encrypted by using an encryption technique that provides more security to the academic certificates. Furthermore, IPFS is also used to store large amounts of encrypted data.
Jorge Ceron, Cristian Tinipuclla, Pedro Shiguihara-Juárez
Blockchain has become an important alternative in plenty of industries due to its features such as traceability, transparency and data integrity. Blockchain is not only present in the management of structured data-like names, timestamps, addresses and so on, but also in the management of unstructured data such as videos or images. In the present work, we focus on videos because nowadays, they are potentially exposed to be modified or altered from plenty of sources and platforms. However, we found that there are hardly any surveys or systematic literature reviews containing applications of both blockchain and integrity of videos. Thus, in this survey, we state a literature review for primary articles about the use of blockchain for video integrity to update and provide a better comprehension about this topic. As results, we encountered Ethereum and internet of vehicles as the largest underlying blockchain and field of application, respectively. At the end, we explain our findings about blockchains for video integrity and why it is an emerging topic.
C. K. Shinzeer, Avinash Bhagat, Ajay Shriram Kushwaha
Governments and individuals have taken extraordinary measures to protect the health of the people during the COVID pandemic. Stored medical data remains the main target for hackers, and hence it needs to be stored securely. To achieve this objective, this paper proposes a novel model using Delegated Proof of Stake-Hyper ledger Fabric Block Chain (DPOS-HFBC). Primarily, by employing LL Subbandeigen Value decomposition employed Discrete Wavelet Transform (L2-DWT), the patient’s Lung Computed Tomography (CT) image data are collected and embedded. For embedding, the patient’s name and ID are taken. In embedding, a Pseudorandom number generator using the Mersenne twister algorithm employed in Elliptic Curve Cryptography (PM-ECC) is applied for key encryption. It covered the image that was embedded with the original and then stored in DPOS-HFBC. Likewise, for authorization, every patient’s biometric ID was hashed and stored in DPOS-HFBC. Data requesters request data in the Interplanetary File System (IPFS) of DPOS-HFBC, and the attributes from the request are extracted and sent to the authority for verification. After verifying, the authority shares their biometric ID with the requester and this gets hashed and then verified in DPOS-HFBC. To show the model’s supremacy, the proposed method was evaluated and compared with existing methods.
Akoramurthy Balasubramaniam, B. Surendiran
Due to certain unique qualities and capabilities, Blockchain is a highly beneficial approach that may be used to safely manage various gadgets in a smart city. It has several uses, particularly in dispersed situations where elements such as wireless sensor nodes must be confident of the server's legitimacy. Because modern blockchain solutions that handle post-quantum problems have not been developed, we explore a blockchain in the quantum-resistant cryptography context and strive to find how it might withstand quantum computing assaults throughout this work. Furthermore, the newly born Proof of Stake (PoS) provides faster and cheaper transactions, but its security is not proven in comparison to its forefather Proof of Work (PoW). As a result, a new quantum-resistant proof of stake (Quantum-Resistant PoS) agreement technique for smart city application services has been developed. The proposed model has the ability to protect a distributed ledger system against a quantum assault and also provides scalability and inexpensive transactions. Additionally, user-based post-quantum authentication is included in the transaction process to create a simple payment verification node. Following that, we present a detailed rundown of how to execute a post-quantum simple payment verification and transaction on a blockchain. Thus, our study will contribute to imminent quantum-resistant blockchain exploration along with the design or structure of potentially distributed ledger technology-based ubiquitous computing.
Jinsheng Yang, Wencong Jia, Zhen Gao, Zhaohui Guo · 6 authors
As the distributed ledger technology underlying cryptocurrencies such as Bitcoin and Ethereum, blockchain has empowered various industries, such as supply chain management, healthcare, government services, e-voting, etc. However, the ever-growing ledger on each node has been the main bottleneck for blockchain scalability as the network scale expands, which worsens in blockchain-enabled IoT scenarios with resource-limited devices. With the support of the Reed–Solomon (RS) code, the Cuckoo-Store (CS), a ledger storage optimization engine, is proposed in this paper to dramatically decrease the storage burden on each node by encoding the ledger as data segments with redundancy and distributing them to multiple nodes. These distributed data segments can be collected and decoded using RS code to recover the original ledger. Furthermore, the Cuckoo filter (CF) is used to guarantee the integrity of the encoded segments, which helps detect the forged segments and facilitates the process of ledger recovery. Theoretical analysis and simulation results show that the CS engine can decrease the storage in each node by more than 94%, and the original ledger can be recovered efficiently with acceptable communication overheads.
Jayashree Agarkhed, Spoorti S Patil, Syed Yaseen Raza, Venkatesh M Patil
Digital identity management is a significant aspect of online security, with traditional methods presenting several challenges. The introduction of blockchain technology provides a promising solution to traditional digital identity challenges. The observed drawback of Blockchain based identity is scalability and interoperability. To overcome these problems, this research study proposes an NFT-based digital identity management system that prioritizes self-sovereign identity by leveraging the properties of NFTs, such as its novelty and immutability. This research study provides a detailed description of the system's workflow. The proposed system is built on the strengths of existing Blockchain based digital identity management systems while addressing their limitations. Overall, the proposed system provides an alternate approach to solve the challenges of traditional digital identity management.
Philipp Schmid, Alisa Schaffhäuser, Rasha Kashef
The networks on a centralized cloud architecture that interconnect Internet of Things (IoT) gadgets are not limited by national or jurisdictional borders. To ensure the secure sharing of sensitive user data among IoT gadgets, it is imperative to maintain security, resilience and trustless authentication. As a result, blockchain technology has become a viable option to provide such noteworthy characteristics. Blockchain technology is foundational for resolving many IoT security and privacy issues. Blockchain’s safe decentralization can solve the IoT ecosystem’s security, authentication and maintenance constraints. However, blockchain, like any innovation, has drawbacks, mainly when used in crucial IoT systems such as programmable logic controller (PLC) networks. This paper addresses the most recent security and privacy issues relating to the IoT, including the perception, network and application layers of the IoT’s tiered architecture. The key focus is to review the existing IoT security and privacy concerns and how blockchain might be used to deal with these problems. This paper proposes a novel approach focusing on IoT capabilities and PLC device security. The new model will incorporate a proof-of-work-based blockchain into the (PLC) IoT ecosystem. This blockchain enables the transmission of binary data and the data logging of the (PLC) networks’ signals. This novel technique uses fewer resources than other sophisticated methods in that PLC devices communicate data while maintaining a high transmission, encryption and decoding speed. In addition to ensuring repeatability, our new model addresses the memory and tracing problems that different PLC manufacturers encounter.
Yang Zhang, Yu Tang, Chaoyang Li, Hua Zhang
Abstract Blockchain-enabled cold-chain logistics system (BCCLS) has well solved the centralized problem in traditional systems. However, along with that different logistics entities establish their own distributed blockchain ledger, which brings new “data island” and privacy leakage problems for BCCLS. In this paper, a transaction ring signing model with a multi-chain fusion mechanism has been introduced first which helps to achieve secure cross-chain data sharing. Meanwhile, a ring signature (RS) scheme is proposed with lattice assumption, which can protect the user privacy and cross-chain transactions. The lattice hard problem improves the anti-quantum security of the transaction ring signing model. Then, the security proof has been executed with random oracle model, and the results show that this RS scheme can get anonymity under full key exposure and unforgeability under insider attack. The efficiency comparison and performance evaluation show the efficiency and practical of the proposed multi-chain fusion model and RS scheme.