Big-Crypto: Big Data, Blockchain and Cryptocurrency

Cryptocurrency has been a trending topic over the past decade, pooling tremendous technological power and attracting investments valued over trillions of dollars on a global scale. The cryptocurrency technology and its network have been endowed with many superior features due to its unique architecture, which also determined its worldwide efficiency, applicability and data intensive characteristics. This paper introduces and summarises the interactions between two significant concepts in the digitalized world, i.e., cryptocurrency and Big Data. Both subjects are at the forefront of technological research, and this paper focuses on their convergence and comprehensively reviews the very recent applications and developments after 2016. Accordingly, we aim to present a systematic review of the interactions between Big Data and cryptocurrency and serve as the one stop reference directory for researchers with regard to identifying research gaps and directing future explorations.

[1]  Juan M. Huerta,et al.  Machine learning and artificial intelligence in consumer banking , 2018 .

[2]  Min Chen,et al.  A 5G Cognitive System for Healthcare , 2017, Big Data Cogn. Comput..

[3]  Patrick Schueffel,et al.  Alternative Distributed Ledger Technologies Blockchain vs. Tangle vs. Hashgraph - A High-Level Overview and Comparison , 2017 .

[4]  Mansi Ghodsi,et al.  Big Data and Causality , 2018 .

[5]  Wei Jiang,et al.  Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control , 2016, Journal of Medical Systems.

[6]  Paraskevi Katsiampa.  Volatility estimation for Bitcoin: A comparison of GARCH models , 2017 .

[7]  Anastas Mishev,et al.  Blockchain solutions for big data challenges: A literature review , 2017, IEEE EUROCON 2017 -17th International Conference on Smart Technologies.

[8]  Jaewook Lee,et al.  An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information , 2018, IEEE Access.

[9]  Ravikiran Vatrapu,et al.  Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning , 2018, HICSS.

[10]  Somdip Dey,et al.  Securing Majority-Attack in Blockchain Using Machine Learning and Algorithmic Game Theory: A Proof of Work , 2018, 2018 10th Computer Science and Electronic Engineering (CEEC).

[11]  Manuel Díaz,et al.  On blockchain and its integration with IoT. Challenges and opportunities , 2018, Future Gener. Comput. Syst..

[12]  Satoshi Nakamoto.  Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[13]  John McCarthy,et al.  WHAT IS ARTIFICIAL INTELLIGENCE , 1998 .

[14]  Aviral Kumar Tiwari,et al.  Informational efficiency of Bitcoin—An extension , 2018 .

[15]  Xiaoyu Hong,et al.  Blockchain Based Credibility Verification Method for IoT Entities , 2018, Secur. Commun. Networks.

[16]  E. Bouri,et al.  Bitcoin and global financial stress: A copula-based approach to dependence and causality in the quantiles , 2018 .

[17]  Emmanuel Sirimal Silva,et al.  Forecasting with Big Data: A Review , 2015, Annals of Data Science.

[18]  Mary Platt Parmele,et al.  Short History , 2017, Walking Toward the Sun.

[19]  Guillaume Chapron,et al.  The environment needs cryptogovernance , 2017, Nature.

[20]  Min Chen,et al.  Big-Data Analytics for Cloud, IoT and Cognitive Computing , 2017 .

[21]  Jose Alvarez-Ramirez,et al.  Long-range correlations and asymmetry in the Bitcoin market , 2018 .

[22]  A. F. Bariviera.  The Inefficiency of Bitcoin Revisited: A Dynamic Approach , 2017, 1709.08090.

[23]  Ahmed Serhrouchni,et al.  Bubbles of Trust: A decentralized blockchain-based authentication system for IoT , 2018, Comput. Secur..

[24]  Rifat Hacioglu,et al.  Prediction of Bitcoin prices with machine learning methods using time series data , 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

[25]  David Lee Kuo Chuen.  Handbook of Digital Currency: Bitcoin, Innovation, Financial Instruments, and Big Data , 2015 .

[26]  Fotios Pasiouras,et al.  Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey , 2009, Eur. J. Oper. Res..

[27]  Dheeraj Kumar,et al.  IoT Based information and communication system for enhancing underground mines safety and productivity: Genesis, taxonomy and open issues , 2018, Ad Hoc Networks.

[28]  Huimin Lu,et al.  Brain Intelligence: Go beyond Artificial Intelligence , 2017, Mobile Networks and Applications.

[29]  Björn Scheuermann,et al.  Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies , 2016, IEEE Communications Surveys & Tutorials.

[30]  Andrea Baronchelli,et al.  Machine Learning the Cryptocurrency Market , 2018 .

[31]  Min Chen,et al.  Disease Prediction by Machine Learning Over Big Data From Healthcare Communities , 2017, IEEE Access.

[32]  A. H. Dyhrberg.  Bitcoin, gold and the dollar – A GARCH volatility analysis , 2016 .

[33]  Harald Vranken,et al.  Sustainability of bitcoin and blockchains , 2017 .

[34]  Xu Huang,et al.  Digitalisation and Big Data Mining in Banking , 2018, Big Data Cogn. Comput..

[35]  Werner Kristjanpoller,et al.  A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis , 2018, Expert Syst. Appl..

[36]  Young Bin Kim,et al.  Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies , 2016, PloS one.

[37]  Thaier Hayajneh,et al.  Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring , 2018, Journal of Medical Systems.

[38]  Sooyong Park,et al.  Where Is Current Research on Blockchain Technology?—A Systematic Review , 2016, PloS one.

[39]  Aaron Yelowitz,et al.  Characteristics of Bitcoin users: an analysis of Google search data , 2014 .

[40]  Mody,et al.  Bitcoin and Blockchain : A peer to peer electronic cash system , 2018 .

[41]  Marc Pilkington,et al.  Blockchain Technology: Principles and Applications , 2015 .

[42]  D. Yermack.  Is Bitcoin a Real Currency? An Economic Appraisal , 2013 .

[43]  Ravikiran Vatrapu,et al.  A first estimation of the proportion of cybercriminal entities in the bitcoin ecosystem using supervised machine learning , 2017, 2017 IEEE International Conference on Big Data (Big Data).

[44]  Peng Jiang,et al.  A Survey on the Security of Blockchain Systems , 2017, Future Gener. Comput. Syst..

[45]  M. Iansiti,et al.  The Truth about Blockchain , 2017 .

[46]  Markus Kraft,et al.  Blockchain technology in the chemical industry: Machine-to-machine electricity market , 2017 .

[47]  Arvind Narayanan,et al.  Bitcoin and Cryptocurrency Technologies - A Comprehensive Introduction , 2016 .

[48]  Mathias Weske,et al.  Blockchains for Business Process Management - Challenges and Opportunities , 2017, ACM Trans. Manag. Inf. Syst..

[49]  Baocheng Wang,et al.  Large-scale Election Based On Blockchain , 2017, IIKI.

[50]  Yaohao Peng,et al.  The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression , 2018, Expert Syst. Appl..

[51]  Jong Hyuk Park,et al.  Blockchain Security in Cloud Computing: Use Cases, Challenges, and Solutions , 2017, Symmetry.

[52]  Marko Vukolic,et al.  Blockchain Consensus Protocols in the Wild (Keynote Talk) , 2017, DISC.

[53]  Financial Regulations and Price Inconsistencies Across Bitcoin Markets , 2016 .

[54]  Akihiko Takahashi,et al.  Bitcoin technical trading with artificial neural network , 2018 .

[55]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[56]  Zhen Wang,et al.  Blockchain for digital rights management , 2018, Future Gener. Comput. Syst..

[57]  Marko Hölbl,et al.  EduCTX: A Blockchain-Based Higher Education Credit Platform , 2017, IEEE Access.

[58]  Somdip Dey,et al.  A Proof of Work: Securing Majority-Attack in Blockchain Using Machine Learning and Algorithmic Game Theory , 2018, International Journal of Wireless and Microwave Technologies.

[59]  Siddhi Velankar,et al.  Bitcoin price prediction using machine learning , 2018, 2018 20th International Conference on Advanced Communication Technology (ICACT).

[60]  Elie Bouri,et al.  On the return-volatility relationship in the Bitcoin market around the price crash of 2013 , 2016 .

[61]  Adam S. Hayes,et al.  Cryptocurrency Value Formation: An Empirical Analysis Leading to a Cost of Production Model for Valuing Bitcoin , 2016, MCIS.

[62]  Andrew Lippman,et al.  MedRec: Using Blockchain for Medical Data Access and Permission Management , 2016, 2016 2nd International Conference on Open and Big Data (OBD).

[63]  Fabrizio Lamberti,et al.  Blockchain and Smart Contracts for Insurance: Is the Technology Mature Enough? , 2018, Future Internet.

[64]  Peter Yeoh.  Regulatory issues in blockchain technology , 2017 .

[65]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[66]  P. Ciaian,et al.  The economics of BitCoin price formation , 2014, 1405.4498.

[67]  Stuart G. Colianni,et al.  Algorithmic Trading of Cryptocurrency Based on Twitter Sentiment Analysis , 2015 .

[68]  Michael Devetsikiotis,et al.  Blockchains and Smart Contracts for the Internet of Things , 2016, IEEE Access.

[69]  Yuchen Yang,et al.  Blockchain application in food supply information security , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[70]  Francisco Herrera,et al.  Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce , 2018, Inf. Fusion.

[71]  Hossein Hassani,et al.  Big Data: A Big Opportunity for the Petroleum and Petrochemical Industry , 2018 .

[72]  Hyeon-Eui Kim,et al.  Blockchain distributed ledger technologies for biomedical and health care applications , 2017, J. Am. Medical Informatics Assoc..

[73]  Mansi Ghodsi,et al.  A review of data mining applications in crime , 2016, Stat. Anal. Data Min..

[74]  Elie Bouri,et al.  Can Volume Predict Bitcoin Returns and Volatility? A Quantiles-Based Approach , 2017 .

[75]  Nir Kshetri,et al.  Can Blockchain Strengthen the Internet of Things? , 2017, IT Professional.

[76]  Simon Caton,et al.  Predicting the Price of Bitcoin Using Machine Learning , 2018, 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

[77]  A. Tiwari,et al.  Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions , 2016 .

[78]  E. O. Kiktenko,et al.  Quantum-secured blockchain , 2017, Quantum Science and Technology.

[79]  S. Nadarajah,et al.  On the inefficiency of Bitcoin , 2017 .

[80]  Zhili Sun,et al.  Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems , 2017, IEEE Internet of Things Journal.

[81]  Hsin-Ke Lu,et al.  A study on adoption of bitcoin in Taiwan: using big data analysis of social media , 2017, ICCIP '17.

[82]  Baijian Yang,et al.  Internet of Things: Survey on Security and Privacy , 2017, ArXiv.

[83]  Praveen Gauravaram,et al.  Blockchain for IoT security and privacy: The case study of a smart home , 2017, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

[84]  Sachin Shetty,et al.  Integrating blockchain for data sharing and collaboration in mobile healthcare applications , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[85]  Laura Ricci,et al.  Detecting artificial behaviours in the Bitcoin users graph , 2017, Online Soc. Networks Media.

[86]  Douglas C. Schmidt,et al.  Applying Software Patterns to Address Interoperability in Blockchain-based Healthcare Apps , 2017, ArXiv.

[87]  Francesco Corea,et al.  The Convergence of AI and Blockchain , 2019 .

[88]  Eng-Tuck Cheah,et al.  Negative bubbles and shocks in cryptocurrency markets , 2016 .

[89]  Sashikanta Khuntia,et al.  Adaptive market hypothesis and evolving predictability of bitcoin , 2018, Economics Letters.

[90]  Weihua Ruan,et al.  Time-varying long-term memory in Bitcoin market , 2017, Finance Research Letters.

[91]  Khaled Salah,et al.  IoT security: Review, blockchain solutions, and open challenges , 2017, Future Gener. Comput. Syst..

[92]  Vallipuram Muthukkumarasamy,et al.  Securing Smart Cities Using Blockchain Technology , 2016, 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

[93]  Wei Li,et al.  Edge cognitive computing based smart healthcare system , 2018, Future Gener. Comput. Syst..

[94]  Elaine Shi,et al.  Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts , 2016, 2016 IEEE Symposium on Security and Privacy (SP).

[95]  Samuel A. Vigne,et al.  Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation , 2018, Finance Research Letters.