Follow blockchain research across journals, conferences, and preprint repositories.
1,621 results · page 28 of 68
R. Thilagavathy, P. N. Renjith, R. V. S. Lalitha, Mantripragada Yaswanth Bhanu Murthy · 6 authors
No abstract is available for this record.
Bin Qian Bin Qian, Yi Luo Bin Qian, Jiaxiang Ou Yi Luo, Yong Xiao Jiaxiang Ou · 5 authors
<p>As a new-style smart grid, Internet of Energy (IoE) is important and how to provide its trusted time-stamping service becomes a hit. For example, an energy provider needs to prove he/she transferred some energy to a consumer at some time. Nevertheless, traditional trusted time-stamping scheme with a central service provider is not suitable for IoE. Some researchers try to solve this problem via blockchain, due to its decentralization, traceability and tamper-proof. However, there are still chal&shy;lenges when using blockchain. Some have to introduce another kind of central participant. Some have to face the problem of accuracy and availability when using the Bitcoin blockchain. Some have to generate too many extra transactions. To address the aforementioned problems, we propose a fully decentralized trusted time-stamping scheme without any central participant and fulfill six design goals. Compared with the state-of-the-art blockchain-based time-stamping scheme named Chronos, our scheme enjoys less cryptographic operations. We then tested our scheme in the development (local) network and two live networks of the Ethereum. The experiment shows that we have implemented a simple, effective, accurate and low-cost decentralized trusted time-stamping scheme.</p> <p>&nbsp;</p>
Arpit Karnatak, G. Suseela
Data integrity and tamper-proofing are of paramount importance in legal documents. To mitigate these issues of data tampering and data corruption in a centralized system, blockchain technology and Non-fungible tokens can be used. Blockchain is used to establish a trust-less system, eliminating the need for a facilitator or a centralized body to validate the correctness of data. Non Fungible Tokens can be used for their properties of immutability. The limitations of traditional NFTs such as data security and data corruption in a centralized and decentralized storage services are also discussed and a new method for data storage is proposed, i.e. On-Chain NFTs and their possible advantages and disadvantages, and how they provide an additional layer of security, making it more reliable than our current Off-Chain Non Fungible Token standards. Three novel approaches have been proposed, along with their respective pros and cons.
Joshua Roberts, Joanna F. DeFranco, D. Richard Kuhn
Distributed ledger technology (DLT) , including blockchain, has a number of properties that make it useful for distributed systems. However, the immutability of blockchain and most forms of DLT make it impossible to delete data, as is required for compliance with many privacy rules regarding personally identifiable information. Thus, there is a need for DLT that can provide the integrity-preserving property of DLT while also allowing support for privacy rules. The data block matrix (DBM) is a variant of distributed ledger technology. It provides the integrity assurance of blockchain but allows for controlled revision or deletion of data. This property is essential for using DLT in applications that must guarantee privacy requirements by the deleting of a user's private data at their request. The DBM design solves the blockchain privacy conflict thus expanding the range of blockchain applications by also allowing exception management. It has been implemented and is available ( https://csrc.nist.gov/projects/redactable-distributed-ledger ) as a configurable option for Hyperledger Fabric (HF) , with a proof-of-concept application for data sharing in a health care environment. Other potential applications include logistics management and digital currency. This paper will cover the DBM properties and data structure, the DBM implementation in HF, and a use case and application design of the DBM implementation using the pharmaceutical industry supply chain.
Sanil Gandhi, Arvind W. Kiwelekar, Laxman D. Netak, Shashank Shahare
Approval processes are intra-organizational business processes designed to sanction the execution of specific administrative tasks. Purchasing essential stationery products, filing bills for acquired items, approving attendance at conferences, processing insurance claims, approving loans, and similar tasks are examples for which employees require approvals from multiple authorities within an organization. Common concerns mentioned by both the approving authority and the proposal submitter are the genuineness of the proposer and the time required for approving the proposal. This paper presents a novel Blockchain-based Approval Process System (BAPS) to establish mutual trust between the submitter and the approving authorities. The proposed system’s design, implementation, and evaluation are included in this paper. The suggested approach can shorten the time needed to obtain the permissions and increase transparency between the users and the authority. In addition, it eliminates issues such as the misplacement of papers. It stores the information in a secure and tamper-proof platform which is some of the most significant drawbacks of traditional paper-based systems.
Leina Abdelgalil, Mohamed Mejri
Electronic health records (EHRs) play an important role in our life. However, most of the time, they are scattered and saved on different databases belonging to distinct institutions (hospitals, laboratories, clinics, etc.) geographically distributed across one or many countries. Due to this decentralization and the heterogeneity of the different involved systems, medical staff are facing difficulties in correctly collaborating by sharing, protecting, and tracking their patient’s electronic health-record history to provide them with the best care. Additionally, patients have no control over their private EHRs. Blockchain has many promising future uses for the healthcare domain because it provides a better solution for sharing data while preserving the integrity, the interoperability, the availability of the classical client–server architectures used to manage EHRS. This paper proposes a framework called HealthBlock for collaboratively sharing EHRs and their privacy preservation. Different technologies have been combined to achieve this goal. The InterPlanetary File System (IPFS) technology stores and shares patients’ EHRs in distributed off-chain storage and ensures the record’s immutability; Hyperledger Indy gives patients full control over their EHRs, and Hyperledger Fabric stores the patient-access control policy and delegations.
Rahul Ganpatrao Sonkamble, Anupkumar M. Bongale, Shraddha Phansalkar, Abhishek Sharma · 5 authors
Electronic Health Records (EHR) serve as a solid documentation of health transactions and as a vital resource of information for healthcare stakeholders. EHR integrity and security issues, however, continue to be intractable. Blockchain-based EHR architectures, however, address the issues of integrity very effectively. In this work, we suggest a decentralized patient-centered healthcare data management (PCHDM) with a blockchain-based EHR framework to address issues of confidentiality, access control, and privacy of record. This patient-centric architecture keeps the patient at the center of control for secured storage of EHR data. It is effective in the storage environment with the interplanetary file system (IPFS) and blockchain technology. In order to control unauthorized users, the proposed secure password authentication-based key exchange (SPAKE) implements smart contract-based access control to EHR transactions and access policies. The experimental setup comprises four hyperledger fabric nodes with level DB database and IPFS off-chain storage. The framework was evaluated using the public hepatitis dataset, with parameters such as block creation time, transactional computational overhead with encryption key size, and uploading/downloading time with EHR size. The framework enables patient-centric access control of the EHR with the SPAKE encryption algorithm.
Yongjun Ren, Xinyu Liu, Pradip Kumar Sharma, Osama Alfarraj · 7 authors
With the rapid development of Industry 4.0, the data security of Industrial Internet of Things in the Industry 4.0 environment has received widespread attention. Blockchain has the characteristics of decentralization and tamper-proof. Therefore, it has a natural advantage in solving the data security problem of Industrial Internet of Things. However, current blockchain technologies face challenges in providing consistency, scalability and data security at the same time in Industrial Internet of Things. To address the scalability problem and data security problem of Industrial Internet of Things, this paper constructs a highly scalable data storage mechanism for Industrial Internet of Things based on coded sharding blockchain. The mechanism uses coded sharding technology for data processing to improve the fault tolerance and storage load of the blockchain to solve the scalability problem. Then a cryptographic accumulator-based data storage scheme is designed which connects the cryptographic accumulator with the sharding nodes to save storage overhead and solve the security problem of data storage and verification. Finally, the scheme is proved to be security and the performance of the scheme is evaluated.
Giulio Caldarelli
Before the advent of alternative blockchains such as Ethereum, the future of decentralization was all in the hands of Bitcoin. Together with Nakamoto itself, early developers were trying to leverage Bitcoin potential to decentralize traditionally centralized applications. However, being Bitcoin a decentralized machine, available non-trustless oracles were considered unsuitable. Therefore, strategies had to be elaborated to solve the so-called oracle problem in the newborn scenario. By interviewing early developers and crawling early forums and repositories, this paper aims to retrace and reconstruct the chain of events and contributions that gave birth to oracles on Bitcoin. The evolution of early trust models and approaches to solving the oracle problem is also outlined. Analyzing technical and social barriers to building oracles on Bitcoin, the transition to Ethereum will also be discussed.
Ammar Riadh Kairaldeen, Nor Fadzilah Abdullah, Asma Abu-Samah, Rosdiadee Nordin
Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for the user signature in a peer-to-peer decentralized IoT blockchain network. To achieve this, a user signature-based identity management framework is examined by using various encryption techniques and contrasting various hash functions built on top of the Modified Merkle Hash Tree (MMHT) data structure algorithm. The paper presents the execution of varying dataset sizes based on transactions between nodes to test the scalability of the proposed design for secure blockchain communication. The results show that the MMHT data structure algorithm using SHA3 and AES-128 encryption algorithm gives the lowest execution time, offering a minimum of 36% gain in time optimization compared to other algorithms. This work shows that using the AES-128 encryption algorithm with the MMHT algorithm and SHA3 hash function not only identifies malicious codes but also improves user integrity check performance in a blockchain network, while ensuring network scalability. Therefore, this study presents the performance evaluation of a blockchain network considering its distinct types, properties, components, and algorithms' taxonomy.
Cumhur Şahin
Kara paranın aklanması, yasa dışı yollardan elde edilen illegal kazançların suç faaliyeti ve yasa dışı fonlar arasındaki bağlantıyı gizlemek için sistemden saklanması olarak tanımlanabilir. Kara para aklama genellikle ikincil bir eylem olup, öncesinde yasa dışı bir eylem, diğer bir ifadeyle öncül suç gelmektedir. Kara para aklama küresel anlamda ciddi bir sorundur çünkü yıkıcı ekonomik etkileri bulunmaktadır aynı zamanda terörün finansmanıyla da yakından ilgilidir. Kara para aklama suçu her ne kadar yeni olmasa da kara paranın aklanmasında dijital paraların kullanılması oldukça yenidir. Bitcoin, Litecoin, Liberty Reserve, Perfect Money ve WebMoney gibi sanal paraların son on yılda popülerlik kazandığı görülmektedir. 2009 senesi kripto paralar için son derece önemli bir yıldır çünkü bir ödeme şeklinde yaratılan Bitcoin çarpıcı bir biçimde artan fiyatı ile finans dünyasında ilgi odağı oldu. Bu ödeme biçimi Satoshi Nakamoto kod adlı kişi veya grup tarafından Bitcoin: A peer-to peer Electronic Cash System (Eşler arası bir elektronik nakit sistemi) adlı makale ile dünyaya tanıtıldı. Bilindiği üzere Bitcoin bir merkez bankasına ihtiyaç duyulmaksızın işlemlerin yapılabildiği sanal bir paradır. Bitcoin’in anonim, neredeyse izlenemez doğası, kaçınılmaz bir şekilde suçluları bu para birimine çekmiş, dolayısıyla kara paranın aklanmasında Bitcoin başta olmak üzere dijital paralar önem kazanmıştır. Bu çalışmada kara paranın aklanmasında Bitcoin özelinde kripto paraların rolü hakkında bilgi verilmeye çalışılacaktır.
Ravi Sharma, Balázs Villányi
The Industrial Internet of Things (IIoT) has captured the attention of various smart farming industries in recent years by connecting physical objects of smart farms over the internet so that they can be discovered and queried globally using Enterprise Application Software (EAS). This continuous transmission and processing poses a significant challenge in dealing with the massive amount of Big-Data being gathered and disseminated. As more applications use cloud platforms to increase storage capacity by storing Big-Data on an untrusted cloud server, data security precautions should be taken. However, with the rapid increase in the number of IIoT devices and EAS end-users and their diverse categories, the existing device authentication mechanisms in IIoT suffer from single factor authentication and poor adaptability. In light of the security requirements in IIoT Big-Data sharing using untrusted cloud servers, we present in this paper a sustainable Ethereum merge-based Big-Data gathering and dissemination in IIoT system. Extensive theoretical and simulation results validate data gathering with a business incentive mechanism with a proper data propagation threshold is an important parameter for determining equilibrium and analysing dynamic properties of IIoT system, which directly affects data processing speed and its final state. The Ethereum merge mechanism controls data dissemination instances in both the industry and EAS through classification and integrity verification using distributed authentication devices. Proof-of-stake is used for this purpose, which uses randomly selected validators to confirm transactions and add new ledgers to consortium blockchains to transfer data using partial secrets, making it fast, secure, and sustainable. Our proposed scheme outperforms other state-of-the-art schemes in simulation over Hyperledger Fabric with improved security measures.
Shaofei Lu, Jingru Pei, Renke Zhao, Xiaochen Yu · 7 authors
Cross-chain interoperability can expand the ability of data interaction and value circulation between different blockchains, especially the value interaction and information sharing between industry consortium blockchains. However, some current public blockchain cross-chain technologies or data migration schemes between consortium blockchains need help to meet the consortium blockchain requirements for efficient two-way data interaction. The critical issue to solve in cross-chain technology is improving the efficiency of cross-chain exchange while ensuring the security of data transmission outside the consortium blockchain. In this article, we design a cross-chain architecture based on blockchain oracle technology. Then, we propose a bidirectional information cross-chain interaction approach (CCIO) based on the former architecture, we novelly improve three traditional blockchain oracle patterns, and we combine a mixture of symmetric and asymmetric keys to encrypt private information to ensure cross-chain data security. The experimental results demonstrate that the proposed CCIO approach can achieve efficient and secure two-way cross-chain data interactions and better meet the application needs of large-scale consortium blockchains.
Wenwei Li, Weizhi Meng, Kuo‐Hui Yeh, Shi-Cho Cha
Recently, blockchain and smart contracts have been one of most popular technology to establish trustworthy applications in several fields. However, due to the transparency and publicity of blockchain, the information processed by a smart contract is visible to every party in a blockchain. In light of this, this study proposes a trusted computing as a service (TCaaS) framework based on the blockchain. One of the critical component is the Execution Environment for Secured Smart Contract Computing (ESC)2 node. In the proposed framework, people can deploy (ESC)2 nodes in a blockchain. Users can upload general-purposed programs and associated parameters and discover an (ESC)2 node for execution via related smart contracts. The programs and parameters are encrypted so that only selected (ESC)2 node can decrypt the data. Then the execution environment calculates the result and returns it to the blockchain. We evaluate our concept with the ESP32 microcontroller with the ATECC508A security chip and the Quorum blockchain platform. Therefore, the study contributes to ensure faithful execution of programs without losing confidentiality.
Mazen Juma, Fuad Alattar, Basim Touqan
The smart manufacturing ecosystem enhances the end-to-end efficiency of the mine-to-market lifecycle to create the value chain using the big data generated rapidly by edge computing devices, third-party technologies, and various stakeholders connected via the industrial Internet of things. In this context, smart manufacturing faces two serious challenges to its industrial IoT big data integrity: real-time transaction monitoring and peer validation due to the volume and velocity dimensions of big data in industrial IoT infrastructures. Modern blockchain technologies as an embedded layer substantially address these challenges to empower the capabilities of the IIoT layer to meet the integrity requirements of the big data layer. This paper presents the trusted consortium blockchain (TCB) framework to provide an optimal solution for big data integrity through a secure and verifiable hyperledger fabric modular (HFM). The TCB leverages trustworthiness in heterogeneous IIoT networks of governing end-point peers to achieve strong integrity for big data and support high transaction throughput and low latency of HFM contents. Our proposed framework drives the fault-tolerant properties and consensus protocols to monitor malicious activities of tunable peers if compromised and validates the signed evidence of big data recorded in real-time HFM operated over different smart manufacturing environments. Experimentally, the TCB has been evaluated and reached tradeoff results of throughput and latency better than the comparative consortium blockchain frameworks.
S. Sathiya Devi, Arumugam Bhuvaneswari
Abstract In the healthcare sector, medical records contain sensitive information about patients, so guaranteeing the confidentiality and integrity of it is essential. To improve the security of it, blockchain technology is being utilized. The blockchain is a type of distributed ledger and it keeps data securely while also generating trust without the need of third party. It has data storage constraint and Merkle tree preserves data integrity but it is inefficient when searching transactions within it. Hence this paper describes InterPlanetary File System (IPFS) based storage and modified bloom tree data structure which is a hybridization of bloom filter and Merkle tree for efficient searching. To protect data privacy, initially it encrypts medical records using ciphertext policy‐attribute based encryption and then the data stored on IPFS returns a hash value. To diminish the false positive rate (FPR), the hash returned by IPFS is stored in two parts of the bloom filter. The first part stores the data by using “ k ” non‐cryptographic hash function and second part stores the transformed data with the same hash function. The bloom tree is created using Merkle proof for verification of medical record in blockchain. The experiments show that the proposed method reduces the FPR rate and searching complexity is O(log2).
Taotao Li, Changlin Yang, Qinglin Yang, Shizhan Lan · 8 authors
Various metaverse applications have entered our daily life and show a promising trend that will occupy people's attention in the era of Web3. This makes interoperability across metaverses become one of the fundamental technologies in the context of multiple metaverse platforms. The aim of interoperability is to provide a seamless service for users when their requests interact with multiple metaverses. However, the development of cross-metaverse interoperability is still in its initial stage in both industry and academia. In this article, we review the state- of-the-art cross-metaverse interoperability solutions, which are designed for a dedicated purpose but do not apply to all metaverse platforms. To this end, we propose MetaOpera, a generalized cross-metaverse interoperability protocol. Connecting to MetaOpera by means of wireless communication, users and digital objects across different metaverses that rely on centralized servers or decentralized blockchains are capable of interacting with each other. We also implement a proof-of-concept mechanism for Meta- Opera, aiming at evaluating its performance with a state-of-the-art cross-metaverse solution based on the Sidechains technique. Simulation results demonstrate that the size of cross-metaverse proof and the average latency of cross-metaverse transactions using the proposed solution are about eight to three times smaller, respectively, than those of the Sidechains solution. This article also suggests a number of open issues and challenges faced by cross-metaverse interoperability that may inspire future research.
Xinyu Liu, Shan Ji, Xiaowan Wang, Liang Liu · 5 authors
Blockchain, with its characteristics of non-tamperability and decentralization, has had a profound impact on various fields of society and has set off a boom in the research and application of blockchain technology. However, blockchain technology faces the problem of data availability attacks during its application, which greatly limits the scope and domain of blockchain applications. One of the most advantageous researches to address this problem is the scalable data availability solution that integrates coding theory design into the Merkle tree promise. Based on this scheme, this paper combines a zero-knowledge accumulator with higher efficiency and security with local repair coding, and proposes a data availability scheme with strong dataset privacy protection. The scheme first encodes the data block information on the blockchain to ensure tamper-proof data, and then uses a zero-knowledge accumulator to store the encoded data block information. Its main purpose is to use zero-knowledge property to protect the accumulation set information stored in the accumulator from being leaked and to ensure that no other information about the accumulation set is revealed during the data transmission. It fundamentally reduces the possibility of attackers generating fraudulent information by imitating block data and further resists data availability attacks.
Zhengwen Li, Tengjiao Zhang, De Zhao, Yaxing Zha · 5 authors
Provable data possession (PDP) is a crucial means of protecting the integrity of data in the domain of cloud storage. In the post-quantum era, the PDP scheme that uses lattices relies too heavily on the third-party auditor (TPA), which is not entirely trustworthy and is easily affected by a single point of failure. Moreover, the scheme often leads to the leakage of private user data while attempting to satisfy the demand for public verification. In response to the above problems, this paper designs a protocol for post-quantum privacy-preserving PDP and uses it to develop a scheme based on smart contracts. The proposed scheme has the characteristics of being post quantum and can satisfy the demand for public verification while preserving user privacy. The property of noninteraction of the protocol can reduce transaction fees incurred owing to the frequent operation of the blockchain, and the smart contract with a deposit mechanism can ensure fair payments to all parties. The results of a theoretical analysis and experiments show that the proposed scheme is highly secure and efficient.
Alaa Haddad, Mohamed Hadi Habaebi, Fakher Eldin M. Suliman, Elfatih A. A. Elsheikh · 6 authors
Accessing healthcare services by several stakeholders for diagnosis and treatment has become quite prevalent owing to the improvement in the industry and high levels of patient mobility. Due to the confidentiality and high sensitivity of electronic healthcare records (EHR), the majority of EHR data sharing is still conducted via fax or mail because of the lack of systematic infrastructure support for secure and reliable health data transfer, delaying the process of patient care. As a result, it is critically essential to provide a framework that allows for the efficient exchange and storage of large amounts of medical data in a secure setting. The objective of this research is to develop a Patient-Centered Blockchain-Based EHR Management (PCEHRM) system that allows patients to manage their healthcare records across multiple stakeholders and to facilitate patient privacy and control without the need for a centralized infrastructure by means of granting or revoking access or viewing one’s records. We used an Ethereum blockchain and IPFS (inter-planetary file system) to store records because of its advantage of being distributed and ensuring the immutability of records and allowing for the decentralized storage of medical metadata, such as medical reports. To achieve secure a distributed, and trustworthy access control policy, we proposed an Ethereum smart contract termed the patient-centric access control protocol. We demonstrate how the PCEHRM system design enables stakeholders such as patients, labs, researchers, etc., to obtain patient-centric data in a distributed and secure manner and integrate utilizing a web-based interface for the patient and all users to initiate the EHR sharing transactions. Finally, we tested the proposed framework in the Windows environment by compiling a smart contract prototype using Truffle and deploy on Ethereum using Web3. The proposed system was evaluated in terms of the projected medical data storage costs for the IPFS on blockchain, and the execution time for a different number of peers and document sizes. The findings of the study indicate that the proposed strategy is both efficient and practicable.
Rahul Mishra, Dharavath Ramesh, Salil S. Kanhere, Damodar Reddy Edla
Public auditing and data deduplication are integral considerations in providing efficient and secure cloud storage services. Nevertheless, the traditional data deduplication models that support public auditing can endure the enormous waste of storage and computation resources induced through data redundancy and repeated audit work by multiple tenants on trusted third-party auditor (TPA). In this work, we introduce blockchain-based secure decentralized public auditing in a decentralized cloud storage with an efficient deduplication model. We employ blockchain to take on the task of centralized TPA, which also mitigates the implications of malicious blockchain miners by using the concept of a decentralized autonomous organization (DAO). Specifically, we employ the idea of redactability for blockchain to handle often neglected security issues that would adversely affect the integrity of stored auditing records on blockchain in decentralized auditing models. However, the proposed model also employs an efficient deduplication scheme to attain adequate storage savings while preserving the users from data loss due to duplicate faking attacks. Moreover, the detailed concrete security analysis demonstrates the computational infeasibility of the proposed model against proof-of-ownership, duplicate faking attack (DFA), collusion attack, storage free-riding attack, data privacy, and forgery attack with high efficiency. Finally, the comprehensive performance analysis shows the scalability and feasibility of the proposed model.
Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma · 10 authors
Zero-knowledge proof (ZKP) is a cryptographic protocol that allows one party to prove the correctness of a statement to another party without revealing any information beyond the correctness of the statement itself. It guarantees computation integrity and confidentiality, and is therefore increasingly adopted in industry for a variety of privacy-preserving applications, such as verifiable outsource computing and digital currency.
Pranav Gangwani, Santosh Joshi, Himanshu Upadhyay, Leonel Lagos
Human-human or human-device communication has traditionally been the most prevalent kind of communication, however, the Internet of Things (IoT) promises to dramatically expand the Internet by enabling machinemachine (M2M) communication.The ever-increasing reliance on data to form the bases associated with decision-making processes requires data that can be trusted emanating from known devices.These devices often contain important and confidential data such as personal credentials, financial status, health data, and other private and sensitive data.Therefore, the integrity of these devices and associated data are imperative for further usage and processing.Moreover, due to the deployment and participation of a massive number of devices in the IoT ecosystem, management of identities and mitigating security vulnerabilities are two major challenges that must be addressed.The large majority of these devices are susceptible to breaches and malicious actions compromising the integrity of their data, therefore identity validation of these devices is crucial as it is a means to ensure whether data attained from these devices can be trusted.An innovative technology called blockchain has recently been developed to address several IoT security concerns and ensure the integrity of the data collected from these IoT devices.This paper proposes a technique for IoT identity management called PUF-based Device Identity Management (PUF-DIM) that employs Physical Unclonable Function (PUF) to perform device identity management to establish trust in the data associated with each device and a device's unique identifier.Moreover,a review of the major security problems with IoT and how blockchain plays a significant role in tackling those issues is discussed.Finally, a blockchain-based IoT data integrity technique is proposed for ensuring that IoT data is authentic and tamper-proof.The presented technique incorporates the consensus mechanism as well as the chain structure within the data integrity scheme for IoT.
Authors unavailable
Millions of individuals today utilize cryptocurrencies, which have a strong open-source community and payment network. The first study to predict cryptocurrency prices using news and social media emotion was published in In this paper, we apply sentiment analysis and machine learning principles to find the correlation between "public sentiment" and "market sentiment". We use twitter data to predict public mood and use the predicted mood and cryptocurrency financial news to predict the market movements.