Polina Mamoshina, Lucy O. Ojomoko, Yury Yanovich, Alex Ostrovski · 12 authors
// Polina Mamoshina 1,2 , Lucy Ojomoko 1 , Yury Yanovich 3 , Alex Ostrovski 3 , Alex Botezatu 3 , Pavel Prikhodko 3 , Eugene Izumchenko 4 , Alexander Aliper 1 , Konstantin Romantsov 1 , Alexander Zhebrak 1 , Iraneus Obioma Ogu 5 and Alex Zhavoronkov 1,6 1 Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Emerging Technology Centers, Johns Hopkins University at Eastern, Baltimore, Maryland, USA 2 Department of Computer Science, University of Oxford, Oxford, United Kingdom 3 The Bitfury Group, Amsterdam, Netherlands 4 Department of Otolaryngology-Head & Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA 5 Africa Blockchain Artificial Intelligence for Healthcare Initiative, Insilico Medicine, Inc, Abuja, Nigeria 6 The Biogerontology Research Foundation, London, United Kingdom Correspondence to: Alex Zhavoronkov, email: // Keywords : artificial intelligence; deep learning; data management; blockchain; digital health Received : October 19, 2017 Accepted : November 02, 2017 Published : November 09, 2017 Abstract The increased availability of data and recent advancements in artificial intelligence present the unprecedented opportunities in healthcare and major challenges for the patients, developers, providers and regulators. The novel deep learning and transfer learning techniques are turning any data about the person into medical data transforming simple facial pictures and videos into powerful sources of data for predictive analytics. Presently, the patients do not have control over the access privileges to their medical records and remain unaware of the true value of the data they have. In this paper, we provide an overview of the next-generation artificial intelligence and blockchain technologies and present innovative solutions that may be used to accelerate the biomedical research and enable patients with new tools to control and profit from their personal data as well with the incentives to undergo constant health monitoring. We introduce new concepts to appraise and evaluate personal records, including the combination-, time- and relationship-value of the data. We also present a roadmap for a blockchain-enabled decentralized personal health data ecosystem to enable novel approaches for drug discovery, biomarker development, and preventative healthcare. A secure and transparent distributed personal data marketplace utilizing blockchain and deep learning technologies may be able to resolve the challenges faced by the regulators and return the control over personal data including medical records back to the individuals.
Open access
2 source records
Blockchain Technology Applications and Security
Artificial Intelligence in Healthcare and Education
Blockchain has recently been applied in many applications such as bitcoin, smart grid, and Internet of Things (IoT) as a public ledger of transactions. However, the use of blockchain in mobile environments is still limited because the mining process consumes too much computing and energy resources on mobile devices. Edge computing offered by the Edge Computing Service Provider can be adopted as a viable solution for offloading the mining tasks from the mobile devices, i.e., miners, in the mobile blockchain environment. However, a mechanism needs to be designed for edge resource allocation to maximize the revenue for the Edge Computing Service Provider and to ensure incentive compatibility and individual rationality is still open. In this paper, we develop an optimal auction based on deep learning for the edge resource allocation. Specifically, we construct a multi-layer neural network architecture based on an analytical solution of the optimal auction. The neural networks first perform monotone transformations of the miners' bids. Then, they calculate allocation and conditional payment rules for the miners. We use valuations of the miners as the data training to adjust parameters of the neural networks so as to optimize the loss function which is the expected, negated revenue of the Edge Computing Service Provider. We show the experimental results to confirm the benefits of using the deep learning for deriving the optimal auction for mobile blockchain with high revenue
A blockchain is a distributed transaction ledger, a disruptive technology that creates new possibilities for digital ecosystems. The blockchain ecosystem maintains an immutable transaction record to support many types of digital services. This paper compares the performance and scalability of a web-based groupware communication application using both non-blockchain and blockchain technologies. Scalability is measured where message load is synthesized over two typical communication topologies. The first is 1 to n network -- a typical client-server or star-topology with a central vertex (server) receiving all messages from the remaining n - 1 vertices (clients). The second is a more naturally occurring scale-free network topology, where multiple communication hubs are distributed throughout the network. System performance is tested with both blockchain and non-blockchain solutions using multiple cloud computing configurations. We analyze the empirical results from each configuration to identify the costs and overhead of blockchain technology.
As the core issue of blockchain, the mining requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to the high computing power needed. Thus, the development of blockchain in mobile applications is restricted. In this paper, we, for the first time, consider the edge computing as the network enabler for mobile blockchain. In particular, we study optimal pricing-based edge computing resource management to support mobile blockchain applications where the mining process can be offloaded to an Edge computing Service Provider (ESP). We adopt a two-stage Stackelberg game to jointly maximize the profit of the ESP and the individual utilities of different miners. In Stage~I, the ESP sets the price of edge computing services. In Stage~II, the miners decide on the service demand to purchase based on the observed prices. We apply the backward induction to analyze the sub-game perfect equilibrium in each stage for uniform and discriminatory pricing schemes. Further, the existence and uniqueness of Stackelberg game are validated for both pricing schemes. At last, the performance evaluation shows that the ESP intends to set the maximum possible value as optimal price for profit maximization under uniform pricing. In addition, the discriminatory pricing helps the ESP to encourage higher total service demand from miners and achieve greater profit correspondingly.
Initial Coin Offerings (ICO) â a term intentionally mirroring Initial Public Offerings (IPO) â seem to be the new hype of the virtual currency community leading to an all-time high of the bitcoin of almost 5,000$ this year1. There is indeed a frenzy developing around ICOs reaching a record high of $1.7 billion in 20172 sparking an increasing interest from regulators on the American and Asian continents. Thus, ICOs have become a venture capital-raising tool for start-ups developing projects and applications on the blockchain and trying to escape the constraints of regulation.
Regulation however seems to chatch up with ICOs. This paper analyzes ICOs from a legal perspective with a particular focus on European and French law.
Haoyan Wu, Zhijie Li, Brian King, Zina Ben Miled · 6 authors
Supply chains (SC) span many geographies, modes and industries and involve several phases where data flows in both directions from suppliers, manufacturers, distributors, retailers, to customers. This data flow is necessary to support critical business decisions that may impact product cost and market share. Current SC information systems are unable to provide validated, pseudo real-time shipment tracking during the distribution phase. This information is available from a single source, often the carrier, and is shared with other stakeholders on an as-needed basis. This paper introduces an independent, crowd-validated, online shipment tracking framework that complements current enterprise-based SC management solutions. The proposed framework consists of a set of private distributed ledgers and a single blockchain public ledger. Each private ledger allows the private sharing of custody events among the trading partners in a given shipment. Privacy is necessary, for example, when trading high-end products or chemical and pharmaceutical products. The second type of ledger is a blockchain public ledger. It consists of the hash code of each private event in addition to monitoring events. The latter provide an independently validated immutable record of the pseudo real-time geolocation status of the shipment from a large number of sources using commuters-sourcing.
Pietro Danzi, Anders E. KalĂžr, Äedomir StefanoviÄ, Petar Popovski
Blockchain is a technology uniquely suited to support massive number of transactions and smart contracts within the Internet of Things (IoT) ecosystem, thanks to the decentralized accounting mechanism. In a blockchain network, the states of the accounts are stored and updated by the validator nodes, interconnected in a peer-to-peer fashion. IoT devices are characterized by relatively low computing capabilities and low power consumption, as well as sporadic and low-bandwidth wireless connectivity. An IoT device connects to one or more validator nodes to observe or modify the state of the accounts. In order to interact with the most recent state of accounts, a device needs to be synchronized with the blockchain copy stored by the validator nodes. In this work, we describe general architectures and synchronization protocols that enable synchronization of the IoT endpoints to the blockchain, with different communication costs and security levels. We model and analytically characterize the traffic generated by the synchronization protocols, and also investigate the power consumption and synchronization trade-off via numerical simulations. To the best of our knowledge, this is the first study that rigorously models the role of wireless connectivity in blockchain-powered IoT systems.
Francisco PrietoâCastrillo, Sergii Kushch, Juan M. Corchado
This work presents a theoretical and numerical analysis of the conditions under which distributed sequential consensus is possible when the state of a portion of nodes in a network is perturbed. Specifically, it examines the consensus level of partially connected blockchains under failure/attack events. To this end, we developed stochastic models for both verification probability once an error is detected and network breakdown when consensus is not possible. Through a mean field approximation for network degree we derive analytical solutions for the average network consensus in the large graph size thermodynamic limit. The resulting expressions allow us to derive connectivity thresholds above which networks can tolerate an attack.
Ao longo dos ltimos anos, a tecnologia da informao contribuiu significativamente para a evoluo dos mercados financeiros, sem, no entanto, revolucionar a forma como as instituies financeiras interagem uma com as outras. Isso pode comear a mudar, uma vez que alguns participantes do mercado financeito esto prevendo que as novas tecnologias de armazenamento de dados, como o blockchain e outras tecnologias de registros distribudos ( distributed ledger technologies ), podero ser a fonte de uma revoluo iminente. Este trabalho analisa as principais caractersticas das chamadas DLTs ( distributed ledger technologies ), a sua relevncia para a Internet of Things, os indicativos do seu potencial de adoo pelas instituies financeiras e como o uso dessas tecnologias podem afetar alguns servios do mercado financeiro.
In response to greater demand for transparency, technology advancements and the disintermediation by startups are gradually making some of the information public. As a result, property-related information is increasingly available in digital and paper form. However, a significant portion of the digitized information is hosted on disparate systems, which results in a lack of transparency and efficiency, and a higher incidence of inaccuracies that creates a greater potential for fraud. Blockchain technology could enable the commercial real estate industry to address these inefficiencies and inaccuracies.<br/><br/>This research focusses on exploring the different possibilities for integrating blockchain technology in the real estate management process. By analyzing the current real estate management process and gaining knowledge about the implementation of blockchain technology, the objective of this research is exploring in which phases of the real estate management process the process can benefit from the use of blockchain technology.<br/><br/>The research findings contribute to the knowledge of opportunities for broad implementation of blockchain technology in the real estate management process by providing a scientific based research document. It provides a broad overview of different opportunities and constraints for using blockchain technology in the process. It increases awareness for the disruption this technology might bring. This research provides scientific arguments for possibilities of implementing blockchain technology in the real estate management process and will function as a trigger for continuation of research into this topic.<br/><br/>
Shuba Olena Đ., Honcharova Yuliia Yu., Bulygina Anastasia V.
The article is aimed at researching bitcoin, the digital currency. It has been found that Bitcoin is a cryptocurrency, that is, the virtual money, which has no material equivalent. The history of creation and development of cryptocurrency was reviewed. There is a reduction in volatility, which guarantees the security of currency, as well as the increase in currency volume and the inability to estimate the profitability of bitcoins. The dynamics of the value of digital currency in US dollars over recent years has been analyzed. Improvement of attitude of many countries to the considered cryptocurrency, in particular the USA, Germany, Spain, Canada, Australia, Israel and Scandinavian countries has been identified. The reasons of Ukraineâs interest in Bitcoin have been considered. Possibilities of creation of cryptocurrency on the territory of Ukraine have been analyzed, i.e. cost of electricity for mining, the legal status of mining firms, and the attitude of the National Bank of Ukraine to the digital currency. It has been concluded that the recognition of Bitcoin by the world countries in the future will allow it to be granted the status of world-wide currency.
With the rise of the modern technologies and wide implementation of digital systems, establishment of cashless economy is perspective trend in Ukraine. In contrast to the traditional kinds of money, which can be considered as a payment facility in online deals too, smart currencies have advanced level of security from cybercrime. These factors induce new âe-moneyâ epoch and âcryptocurrencyâ term is extensively discussed. The aim of the article is to justify the perspectives of using cryptocurrencies for payment operations guided by historic aspect of research. The study is based on the use of historic and analysis and synthesis methods of research. The principles of cryptocurrency functioning and the essence of âblockchainâ technology are analyzed. Formed the potential possibilities of blockchain bank integration. Previous conditions of origin and main stages of cryptocurrency development are determined. The essence of digital currency is revealed and Its main kinds are described. The history of development and functioning of cryptocurrency is divided into seven periods. Its proved, that cryptocurrency is not a full-fledged money but highly liquid asset, which perspectives on a worlds capital market are undeniable.
Abstract In the context of current energy Internet, the emergence of a large number of energy productive consumers will create a new business model. In the decentralized electricity market, the cost of traditional centralized solution construction, management and maintenance is too high, and it is difficult to support the collection, transmission, reception, storage and analysis of massive data. To provide a solution to this phenomenon, we apply the blockchain technology to this distributed electricity market to achieve peer to peer transactions in the power systems. The blockchain technology which is very popular nowadays will be used in power system to establish a credible direct transaction between devices. At first, this article analyzes the future direction of the development of power systems, studies the characteristics of decentralized power systems and summarizes the main issues in the development process. Then, we analyze the basic characteristics of blockchain and put forward a new transaction framework in consideration of problems existing in current energy market. The transaction framework is based on the blockchain technology in the distributed electricity market and includes the pricing method, the power transaction system architecture, various modules of the trading system and the details of the whole transaction system runtime. This framework provides a viable solution for increasingly complex energy transactions.
Muhammad Reza Rizky Fauzi, Surya Michrandi Nasution, Marisa W. Paryasto
The present study discusses the workings of blockchain bitcoin in the transactions sector, on the development of today's emerging computers in the financial sector of blockchain bitcoin traction. In this case the author analyzes how the transaction is running, as well as how blockchain bitcoin is doing work in transactions on the system to make transactions. Transaction is a data structure that encodes the transfer of values between users with in a bitcoin system. Every transaction is a public entry in this bitcoin blockchain. And become a large transaction bookkeeping global.
Raja Sakti Arief Daulay, Surya Michrandi Nasution, Marisa W. Paryasto
The implementation research and analyze address blockchain on this bitcoin will have the results that refers to making address bitcoin a safe and boost security of address the bitcoin. The working mechanism of blockchain in making address bitcoin which is already in the blockchain system.
This project was commissioned by DasCoin in the summer of 2017. Z/Yenâs Long Finance project team reviewed the limited literature on the topic to produce four discussion papers that described the issues and explored some potential ways of addressing them.
On 4 October 2017, Long Finance held a symposium to explore the discussion papers in the ornate Main Reception Room at Chartered Accountantsâ Hall in London. The 28 participants had wide ranging backgrounds and interests. They included representatives from regulators, professional associations, external audit firms, technology companies, and academia.
This report includes the background information chapters on Auditing Distributed Ledgers, Auditing Distributed Data, Auditing Distributed 'Smarts', and Auditing Consortium Blockchain Systems, along with a brief summary of the symposium discussions. The final chapter makes suggestions for the audit profession to address.
The development of robotics, the Internet of Things concept, big data processing techniques, automation, and distributed digital ledgers leads to the fourth industrial revolution. One of the main issues of new industry is interaction between the "smart factory" components both internally and with other factories based on the Internet of Things. This interaction should provide trust between the participants of the Internet of Things; control over the distribution of resources (such as maintenance time, energy, etc.) and finished products. The paper describes one of the possible ways of integrating Internet of Things and blockchain technologies to solve these issues. For this purpose, an architecture has been developed that combines Smart-M3 information sharing platform and blockchain platform. One of the main features of the proposed architecture is the use of smart contracts for processing and storing information related to the interaction between smart space components.
The phenomenon of virtual currencies has to be distinguished from the underlying distributed ledger technologies. Bitcoin and other cryptocurrencies need to be subject to strict financial regulation and supervision to ensure investor protection. At the same time, distributed ledger technologies will shape the future of the financial services in many respects. The disruptive potential is illustrated for selected financial products and processes.
Every individual undergoes a series of educational programs and acquires skills and pedagogical certifications throughout his/her life from various educational and skill development organisations across the world, including the companies they work for. It is imperative that there is a comprehensive record of these certifications that can be authentically verified by those wanting to employ the individual for these respective skills accredited through certifications. In this chapter, the authors explore the utility of blockchain technology-led digitization, automation of trust, and disintermediation in education sector. They examine some of the prominent use cases and challenges faced by blockchain technology. They also look at the current state of blockchain technology-enabled applications in related domains and its implications for the education sector in India along with a real-life illustration with implementation using AuxCert on Auxledger, a permissioned blockchain platform from Auxesis group.
Mandrita Banerjee, JungÂhee Lee, KimâKwang Raymond Choo
Internet of Things (IoT) devices are increasingly being found in civilian and military contexts, ranging from smart cities and smart grids to Internet-of-Medical-Things, Internet-of-Vehicles, Internet-of-Military-Things, Internet-of-Battlefield-Things, etc. In this paper, we survey articles presenting IoT security solutions published in English since January 2016. We make a number of observations, including the lack of publicly available IoT datasets that can be used by the research and practitioner communities. Given the potentially sensitive nature of IoT datasets, there is a need to develop a standard for sharing IoT datasets among the research and practitioner communities and other relevant stakeholders. Thus, we posit the potential for blockchain technology in facilitating secure sharing of IoT datasets (e.g., using blockchain to ensure the integrity of shared datasets) and securing IoT systems, before presenting two conceptual blockchain-based approaches. We then conclude this paper with nine potential research questions.
A peerâto-peer allows online payments that sent directly from one party to another party without going through the financial institution. Digital signature is a part but the main benefit is lost, if a Trusted Third Party is still required to prevent digital signature. This digital signature uses peerâto-peer network. The network timestamps transaction by hashing them into an on-going chain of hash-based proof-of-work is done; it records that and cannot be changed without redoing the proof-of-work. The majority of CPU work is controlled by nodes. That are not cooperating to attack the network, they will generate the longest chain and outspace attackers.