Md Ashraf Uddin, Andrew Stranieri, Iqbal Gondal, Venki Balasurbramanian
The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including underwater monitoring, where sensors are located at various depths, and data must be transmitted to surface base stations for storage and processing. Ensuring that data transmitted across hierarchical sensor networks are kept secure and private without high computational cost remains a challenge. In this paper, we propose a multilevel sensor monitoring architecture. Our proposal includes a layer-based architecture consisting of Fog and Cloud elements to process and store and process the Internet of Underwater Things (IoUT) data securely with customized Blockchain technology. The secure routing of IoUT data through the hierarchical topology ensures the legitimacy of data sources. A security and performance analysis was performed to show that the architecture can collect data from IoUT devices in the monitoring region efficiently and securely.
Problem setting. Range of efficiency problems is crucial for public management in general, and local self-government in particular. The problem of decentralization, local self-government do not stop coming out of agenda on state policy, so we consider it necessary to instill some flagship approaches concerning possibilities in principle to provide from the sidelines of public authorities (both state and local levels) advocacy efficiency, which we interpret as system. The thing is that modern national reality is inherent in process of the population activation, the level of its involvement of its engagement into local self-government management and interaction with local self-government authorities thickens. One of powerful, but insufficiently used forms of influence of the general public on solution of local significance problems is advocacy phenomenon, and that is why making the vision of its efficiency turns out to be a scientific problem utterly urgent for solution.Recent research and publications analysis. The main best practices in public management efficiency range of problems are stated in public management encyclopedia (in 8 volumes) dated 2011. Also the organization systems various classes functioning efficiency evaluation were substantially considered, in particular, in the research of K.Fisun and M.Naumenko. It should be noted that in all the published works of the modern scientists in the appropriate branch of science, the problems of efficiency in addition to the objects they are researching, are being considered. In this context special attention is needed for such focuses as political and economical dimensions of public management, researched in the works of T.Latkovska, Lyubov Bila-Tiunova and modern approaches to anticorruption principles in government authorities activity, described by O.Safonchyk and A.Ripenko. The range of advocacy problems is researched by both national and foreign scientists. The works which are currently central are those in which some specific problems of protection cultural rights and freedoms protection for the citizens are described by M.Inshyn, Y.Міroshnychenko and Y.Paida, and the problems of main functions, tools and methods generation to protect the rights of the citizens for entrepreneurship were considered by S.Penkov and Mykola Chabanenko. There are also some problems which are of significant interest for our research, namely the problems of the corporate vehicles social activity in Germany, researched by T.Galetska, N.Topishko and I.Topishko. At the same time now there are no multi-method researches of problems on advocacy efficiency on local level, and this is the reason which necessitated conduct of this research.The paper objective is to explain the approaches to defining the factors of advocacy system efficiency on local level. The paper main body. The advocacy system efficiency is researched through generation of its subjects, certain institutions, which come up as its elements. The main factor of the networks generation is filling of information space. Upon that such types of the networks as free informal and arranged informal one and the formal one as well are singled out. The participants of any network structure have communication, management and information connections and also connections responsible for communication with the general public.The advocacy efficiency depends on a range of internal and external environment factors. When the author lays emphasis on such external factors, which have an effect on advocacy, namely political climate, adequacy, legitimacy, feasibility, admissibility, in this situation question of economic efficiency of advocacy remains to be pretty relative due to necessity to engage discretionary funding to implement advocacy function, on one hand, and necessity to achieve goals, which may not include economic component. In its turn if there is no discretionary funding, this threatens independence, loyalty of the campaign, obligation on provision of justice and extension of rights and opportunities. It was found that central funding can solve the problem of advocacy economic dependence and promote its efficiency. Although advocacy is used to promote the unprotected interests and states, implementation of equal rights in real life on official, local or state level, in other words, to obtain legitimization of protection procedure must be the result of it.The proofs of advocacy efficiency remain to be limited and only a small scope of information, which concerns progress of advocacy process, is available. However the author defined some important advantages of advocacy process, associated with extension of opportunities, self-efficiency and confidence of its participants.Conclusions of the research. The result of the conducted research allowed to find out that the necessary factors to provide efficiency for the advocacy system on exogenous level are as follows: regulatory legal provision of the mere opportunity of advocacy implementation; adjustment of principles for financing the advocacy processes from state/local budgets; broad public awareness campaign among all the subjects of territorial development; development and promotion of implementation for all the advocacy efficient algorithms. On endogenous level the guiding principle to provide efficiency for advocacy is formation and functioning of multifaceted network of the institutions which perform functions of its subjects.
Fog computing makes up for the shortcomings of cloud computing. It brings many advantages, but various peculiarities must be perceived, such as security, resource management, storage, and other features at the same time. This paper investigates the resource contribution model between the fog node and cloud or users when fog computing introduces blockchain. The proposed model practices the reward and punishment mechanism of the blockchain to boost the fog nodes to contribute resources actively. The behavior of the fog node in contributing resources and the completion degree of the task also for contributing resources are packaged into blocks and stored in the blockchain system to form a transparent, open, and tamper-free service evaluation index. The differential game method is employed to model and solve the above process and address the interaction between the optimal resource contribution strategy of the fog node and the optimal benefit under the optimal resource contribution strategy. Indirectly, this service evaluation index also brings long-term economic benefits to fog service providers. Besides, taking advantage of the performance characteristics of the collective maintenance of blockchain and the ability to establish a credible consensus mechanism in an untrusted environment, fog computing nodes, under the proposed architecture, can have specific security protection capabilities.
Teknologi yang semakin berkembang di era globalisasi saat ini salah satunya yaitu e-voting. Hal yang sering dilakukan oleh masyarakat indonesia dalam melakukan e-voting adalah memiliki ketua dalam suatu jabatan contoh paling besar yaitu presiden. Dengan adanya e-voting akan sangat mudah dilaukan. Tetapi selalu ada permasalahan yang terjadi pada hasil pemilihan kandidat yang bisa dimanipulasi oleh siapa saja. Sehingga dari permasalahan yang terjadi dilakukan penelitian terhadap hasil pemilihan untuk mengurangi kecurangan pada pemilihan. Oleh kaena itu, penulis melakukan pengujian pengamanan hasil pemilihan, Dengan melakukan pengujian dengan bahasa pemrogaman Solidity dan smart contract menghasilkan code unik pada setiap pemilihan baru. Sehingga manipulasi hasil pemilihan tidak akan bisa dilakukan karena setiap pemilih hanya memiliki satu account dan satu address blockchain. Dari hasil pengujian penulis lakukan dapat disimpulkan bahwa smart contract blockchain bisa digunakan untuk membuktikan hasil peilihan yang aman dan menciptakan e-voting yang bersifat jurdil
Nicholas Mamo, Gillian M. Martin, Maria Desira, Bridget Ellul · 5 authors
Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within the context of biobanking, it gives individuals access to information and control to determine how and where their biospecimens and data should be used. We present Dwarna-a web portal for 'dynamic consent' that acts as a hub connecting the different stakeholders of the Malta Biobank: biobank managers, researchers, research partners, and the general public. The portal stores research partners' consent in a blockchain to create an immutable audit trail of research partners' consent changes. Dwarna's structure also presents a solution to the European Union's General Data Protection Regulation's right to erasure-a right that is seemingly incompatible with the blockchain model. Dwarna's transparent structure increases trustworthiness in the biobanking process by giving research partners more control over which research studies they participate in, by facilitating the withdrawal of consent and by making it possible to request that the biospecimen and associated data are destroyed.
Abstract This paper provides, from a business ethics perspective, a basic clustering of the morally (a) favorable, (b) unfavorable, and (c) ambivalent dimensions of blockchain technology and its various emergent applications. Instead of proffering specific assessments on particular aspects of blockchain‐based business models, we aim to offer an initial overview that charters the territory so that future research can bring about such moral assessments in an informed and orderly fashion. The main contribution of this paper lies in identifying several morally ambivalent dimensions of blockchain technology, which we finally link to two strands of business ethics research: ethical and legal aspects of legislation as well as a link to Habermasian corporate social responsibility theory arguing for transparent data production and consumption on the blockchain. We conclude that future research is necessary for moral assessment of the ambivalent cases, since their ethical evaluation changes depending on whether one analyzes them through the lenses of utilitarianism, contractarianism, deontology, and virtue ethics, respectively.
Osama Sohaib, Walayat Hussain, Muhammad Asif, Muhammad Ahmad · 5 authors
The majority of previous research on new technology acceptance has been conducted with single-step Structural Equation Modeling (SEM) based methods. The primary purpose of the study is to enhance the new technology acceptance based research with the Artificial Neural Network (ANN) method to enable more precise and in-depth research results as compared to the single-step SEM method. This study measures the relation between technology readiness dimension (optimism, innovativeness, discomfort, insecurity) and the technology acceptance (perceived ease of use and perceived usefulness) - and the intention to use cryptocurrency, such as bitcoin. The contribution of this study include the use of a multi-analytical approach by combining Partial Least Squares- Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis. First, PLS-SEM was applied to assess which factor has significant influence toward intention to use cryptocurrency. Second, an ANN was employed to rank the relative influence of the significant predictor variables attained from the PLS-SEM. The findings of the two-step PLS-SEM and ANN approach confirm that the use of ANN further verifies the results obtained by the PLS-SEM analysis. Also, ANN is capable of modelling complex linear and non-linear relationships with high predictive accuracy compared to SEM methods. Also, an Importance-Performance Map Analysis (IPMA) of the PLS-SEM results provides a more specific understanding of each factor's importance-performance.
Blockchain technology is the first successful Bitcoin Network. It enables the ledger to become more decentralized and secure. Since it is not limited to bitcoin and controlled by third parties by government, corporations or banks, the technology is capturing the number of industries including cryptocurrency, infrastructure& hardware, financial technology, Internet&mobile and so on. Blockchain is used as a public ledger to verify all transactions of peer to peer systems and to maintain traded bitcoin spending from central authorities while transactions have been distributed by Bitcoin. Achieving high blockchain-based performance and privacy & security are global issues that are desire to be overcome as claims show they are still significant challenges in many blockchain applications. Thus, this paper provides an introduction of Blockchain and the process of this technology in a way of outlining blockchain types. In addition, recent advances & challenges, real economy integration and current situations of this technology have been listed.
Dinh C Nguyen, Pubudu N Pathirana, Ming Ding, Aruna Seneviratne
Recently, blockchain has gained momentum in the academic community thanks to its decentralization, immutability, transparency and security. As an emerging paradigm, Multi-access Edge Computing (MEC) has been widely used to provide computation and storage resources to mobile user equipments (UE) at the edge of the network for improving the performance of mobile applications. In this paper, we propose a novel blockchain-based MEC architecture where UEs can offload their computation tasks to the MEC servers. In particular, a blockchain network is deployed and hosted on the MEC platform as Blockchain as a Service (BaaS) that supports smart contract-based resource trading and transaction mining services for mobile task offloading. To enhance the performance of the blockchain-empowered MEC system, we propose a joint scheme of computation offloading and blockchain mining. Accordingly, an optimization problem is formulated to maximize edge service revenue and blockchain mining reward while minimizing the service computation latency with respect to constraints of user service demands and hash power resource. We then propose a novel Deep Reinforcement Learning (DRL) approach using a double deep Q-network (DQN) algorithm to solve the proposed problem. Numerical results demonstrate that the proposed scheme outperforms the other baseline methods in terms of better system utility with computational efficiency. Experiment results also verify that the trading contract design is efficient with low operation cost, showing the feasibility of the proposed scheme.
Ioannis Antoniadis, Stamatis Kontsas, Konstantinos Spinthiropoulos
Blockchain is gaining ground on academic research and business applications as it is believed to have the potential to change business models in numerous sectors of the economy. Blockchain applications characteristics (security, immutability of record keeping, efficiency, and disintermediation) provide solutions to a number of issues firms and organizations face. Until now, most of the research until now deals with its financial applications and cryptocurrencies. There is however, an important field for developing blockchain application in marketing and most specifically in brand loyalty programs. In this paper, we are going to review some of the applications of blockchain in marketing and marketing management, and the ways it could enhance brand loyalty and brand loyalty programs run by firms and brands. The main findings of our paper is that blockchain could help brand loyalty by building trust between the brand and consumers, by simplifying and reducing the cost of administering brand loyalty programs, and by providing more ways for consumers to derive benefits from these programs through tokenization or cryptocurrencies. Finally, we are proposing issues that should be considered for further research on the topic. Keywords: Blockchain; Marketing; Brand; Loyalty Programs.
Agreements, consensuses, protocols, resource-sharing, and fairness are all examples of social and political metaphors that define and shape new computational algorithms. The thought experiments and allegories about resource-sharing or agreement between nodes played a vital role in the development of "concurrent programming" (enabling processor power-sharing and process synchronization) and still later in the development of distributed computing (facilitating data access and synchronization). These paved the way for current concepts of consensus mechanisms, smart contracts, and other descriptions of cryptocurrencies, blockchain, distributed ledger, and hashgraph technologies, paradoxically reversing the relations between metaphor and artifact. New computing concepts and algorithmic processes, such as consensus mechanisms, trustless networks, and automated smart contracts or DAOs (Distributed Autonomous Organizations), aim to disrupt social contracts and political decision-making and replace economic, social, and political institutions (e.g., law, money, voting). Rather than something that needs a metaphor, algorithms are becoming the metaphor of good governance. Current fantasies of algorithmic governance exemplify this reversal of the role played by metaphors: they reduce all concepts of governance to automation and curtail opportunities for defining new computing challenges inspired by the original allegories, thought experiments, and metaphors. Especially now, when we are still learning how best to govern the transgressions and excesses of emerging distributed ledger technologies, productive relations between software and allegory, algorithms and metaphors, code and law are possible so long as they remain transitive. Against this tyranny of algorithms and technologies as metaphors and aspirational models of governance, we propose sandboxes and environments that allow stakeholders to combine prototyping with deliberation, algorithms with metaphors, codes with regulations.
Many existing business processes can be more effective and efficient with blockchain technology to save time, reduce risk and save money. Blockchain is a digital ledger where each block is linked to another block in a time stamped and every block has numbers of transaction with meta data like index, previous Hash and hash of that block. These hash make this digital ledger to an immutable public record of digital transactions. Every new transaction is validated by the other nodes across the distributed network before it is stored in a block. All transaction information once stored on the ledger is verifiable and auditable but not editable. With blockchains, business can establish what they are and then trade items like money, votes, deeds, intellectual property, stocks and bonds, loyalty points, and anything else that has value. One of the biggest divisions in blockchain technology is permissioned versus permissionless blockchains. Permissioned Blockchain is especially useful for the business that have to comply with regulations and wants to complete control of their data. Hyperledger works in this direction that has the aim of improving cross-industry permissioned blockchain technologies. In this paper we explained the some parameter for selecting platform of blockchain for business applications with some use cases and business people can also use Blockchain-as-a-service to deploy their own blockchain app easily that's managed and administered by cloud-based service providers.
Benjamin S. Glicksberg, Shohei Burns, Robert Currie, A. Clark Griffin · 8 authors
BACKGROUND: Efficiently sharing health data produced during standard care could dramatically accelerate progress in cancer treatments, but various barriers make this difficult. Not sharing these data to ensure patient privacy is at the cost of little to no learning from real-world data produced during cancer care. Furthermore, recent research has demonstrated a willingness of patients with cancer to share their treatment experiences to fuel research, despite potential risks to privacy. OBJECTIVE: The objective of this study was to design, pilot, and release a decentralized, scalable, efficient, economical, and secure strategy for the dissemination of deidentified clinical and genomic data with a focus on late-stage cancer. METHODS: We created and piloted a blockchain-authenticated system to enable secure sharing of deidentified patient data derived from standard of care imaging, genomic testing, and electronic health records (EHRs), called the Cancer Gene Trust (CGT). We prospectively consented and collected data for a pilot cohort (N=18), which we uploaded to the CGT. EHR data were extracted from both a hospital cancer registry and a common data model (CDM) format to identify optimal data extraction and dissemination practices. Specifically, we scored and compared the level of completeness between two EHR data extraction formats against the gold standard source documentation for patients with available data (n=17). RESULTS: Although the total completeness scores were greater for the registry reports than those for the CDM, this difference was not statistically significant. We did find that some specific data fields, such as histology site, were better captured using the registry reports, which can be used to improve the continually adapting CDM. In terms of the overall pilot study, we found that CGT enables rapid integration of real-world data of patients with cancer in a more clinically useful time frame. We also developed an open-source Web application to allow users to seamlessly search, browse, explore, and download CGT data. CONCLUSIONS: Our pilot demonstrates the willingness of patients with cancer to participate in data sharing and how blockchain-enabled structures can maintain relationships between individual data elements while preserving patient privacy, empowering findings by third-party researchers and clinicians. We demonstrate the feasibility of CGT as a framework to share health data trapped in silos to further cancer research. Further studies to optimize data representation, stream, and integrity are required.
Yeray Mezquita, Roberto Casado, Alfonso González‐Briones, Javier Prieto · 5 authors
Internet of Things (IoT) platforms have a great number of vulnerabilities which cyber-attackers can exploit. A possible solution largely contemplated in the state of the art is to make use of blockchain technology in any IoT system to enhance the security of the platform while improving other of its aspects. Although there are valuable benefits of the use of IoT platforms based on blockchain technology, it is worth studying the different alternatives between blockchain technologies, because all of them have their own limitations that are not suitable for every use case scenario. In this work, we listed a number of flaws that blockchain technology has in this respect. We have identified that, most of the flaws can be overcome by adapting the variants of this technology to the specific needs of the IoT platform. Every IoT system based on blockchain technology, should perform a systematic analysis of their needs, identifying what are the blockchain features sought for that scenario, to choose the solution that best meets the needs among the different blockchain technology alternatives.
The evolution of blockchain technology that promotes decentralised peer to peer electronic cash system named as Bitcoin is becoming trending across the globe. Although the Bitcoin price is extremely volatile, the popularity of bitcoin is seemingly unambiguous. The Bitcoin trending has garnered serious attention from the public, media and academia. Hitherto, no research has yet systematically investigated the factors influencing the intention to invest in Bitcoin. Thus, the objective of this study is to identify the factors that influence the intention to invest in Bitcoin. An online survey was distributed via the email to the target respondents, those who have basic knowledge of Bitcoin investment. After three weeks of the data collection period for the pilot study, 45 samples were gathered to be tested further. Using the SPSS programme, the data were analysed through the reliability test and factor analysis. The results of the study indicate that the items are valid and reliable. The exploratory factor analysis also discloses that the sampling is satisfactory. Being limited preliminary analysis, this study lacks the empirical evidence to confirm the relationships between the studied variables. Therefore, in future an adequate and bigger sample is needed to establish the empirical support on the associations of the studied variables
A blockchain is a Distributed Ledger Technology that has been defined as a “distributed, shared, encrypted database that serves as an irreversible and incorruptible repository of information. Blockchain can be defined as a peer-to-peer distributed ledger that is cryptographically secure, append-only, immutable and updatable only via consensus or agreement among peers. In blockchain platforms, each transaction in the public ledger is verified by consensus of the majority of the system participants in a transparent and secure way. The consensus algorithm refers to the process of attaining an unified agreement on the state of the network in a decentralized way and to facilitate the verification and validation of information being added to the blockchain. This paper aims at providing a comparison between most of the recent consensus algorithms regarding the scalability of the algorithm; the type of blockchain, node identity, the performance of the algorithm (in terms of throughput & latency) and Adversial Tolerance and to deliver a solid basis for discussions about current statistics. In this research, we also presented a new category of the Blockchain consensus algorithms, which consist of three groups as follows; the proof based on Hardware, the proof based on stake, and the proof based on voting.
Encointer proposes a blockchain platform for local community cryptocurrencies. Individuals can claim a universal basic income through issuance of fresh money. Money supply is kept in proportion to population size through the use of demurrage. Sybil attacks are prevented by regular, concurrent and randomized pseudonym key signing parties to obtain a proof-of-personhood. Encointer features privacy by design and purchasing-power adjusted transaction fees.
Blockchain technology has evolved as a promising means to transform data management models in many domains including healthcare, agricultural research, tourism domains etc. In the research community, a usable blockchain-based system can allow users to create a proof of ownership and provenance of the research work, share research data without losing control and ownership of it, provide incentives for sharing and give users full transparency and control over who access their data, when and for what purpose. The initial adoption of such blockchain-based systems is necessary for continued use of the services, but their user acceptance behavioral model has not been well investigated in the literature. In this paper, we take the Technology Acceptance Model (TAM) as a foundation and extend the external constructs to uncover how the perceived ease of use, perceived usability, quality of the system and perceived enjoyment influence the intention to use the blockchain-based system. We based our study on user evaluation of a prototype of a blockchain-based research data sharing framework using a TAM validated questionnaire. Our results show that, overall, all the individual constructs of the behavior model significantly influence the intention to use the system while their collective effect is found to be insignificant. The quality of the system and the perceived enjoyment have stronger influence on the perceived usefulness. However, the effect of perceived ease of use on the perceived usefulness is not supported. Finally, we discuss the implications of our findings.
Artificial intelligence and Blockchain are the most trending technologies these days, where artificial intelligence offers intelligent decision-making capabilities to machines which is similar to human beings and blockchain technology allows a decentralised pathway for encrypted data sharing between ledgers in a secured manner. Integration of both technologies forms a decentralised AI which enables the process of decision making on digitally encrypted platform for secure data sharing without involvement of any Third Party. This paper gives a detail on the possibilities of intersection of AI and Blockchain. The paper also contains the issues and problems related to the respective integration. An Algorithm is proposed in two parts, based on one of the given issues, which predicts the action plan of AI for destructing malware blocks in blockchain
V. Brindha Devi, R. Skanda Gurunathan, N. Keerthivasan
The rapid growth in the population has lead to generation of large amount of data from each individual. Each and every individual holds several physically signed documents. Currently, the documents, certificates, and contracts are all printed in papers and manually signed. It is difficult for other party say a recruiter, or a government official or any other custom officer to verify the validity of the certificates and other documents of the individual. It consumes a tremendous amount of time for validating and verifying such documents manually. Thus we propose a system to develop a Decentralized application (DApp) for implementing a Blockchain[1] to store and verify the documents. By the nature of blockchain, the documents are securely stored with high integrity, and no further modifications can be done to the blocks in the chain which in turn reduces the creation of forged documents. Also using Distributed Ledger technology(DLT)[5] and IPFS the data is decentralised so that it is readily available with integrity. Also, using MultiSig[3] concepts, the system is more secured by two step authentication. Thus, blockchain creates trust and DLT provides integrity ease of access. And with use of IPFS the DApp is decentralized4]
Blockchain technology has evolved as a promising means to transform data\nmanagement models in many domains including healthcare, agricultural research,\ntourism domains etc. In the research community, a usable blockchain-based\nsystem can allow users to create a proof of ownership and provenance of the\nresearch work, share research data without losing control and ownership of it,\nprovide incentives for sharing and give users full transparency and control\nover who access their data, when and for what purpose. The initial adoption of\nsuch blockchain-based systems is necessary for continued use of the services,\nbut their user acceptance behavioral model has not been well investigated in\nthe literature. In this paper, we take the Technology Acceptance Model (TAM) as\na foundation and extend the external constructs to uncover how the perceived\nease of use, perceived usability, quality of the system and perceived enjoyment\ninfluence the intention to use the blockchain-based system. We based our study\non user evaluation of a prototype of a blockchain-based research data sharing\nframework using a TAM validated questionnaire. Our results show that, overall,\nall the individual constructs of the behavior model significantly influence the\nintention to use the system while their collective effect is found to be\ninsignificant. The quality of the system and the perceived enjoyment have\nstronger influence on the perceived usefulness. However, the effect of\nperceived ease of use on the perceived usefulness is not supported. Finally, we\ndiscuss the implications of our findings.\n
encointer proposes a new blockchain based cryptocurrency with an ecological consensus mechanism using trusted execution environments and an egalitarian money supply policy. Money issuance is done through a universal basic income subject to a proof-of-personhood. Only individuals attending randomized pseudonym key signing events obtain such proofs. encointer also features private transactions and scalable, trustless off-chain smart contracts.
Οι τεχνολογικές εξελίξεις μεταμορφώνονται και συνεχώς αναπτύσσονται με τόσο γρήγορο ρυθμό, ώστε όλοι να πρέπει να παραμείνουν σε εγρήγορση για να μπορούν να τις παρακολουθήσουν. Το Blockchain είναι το νέο κύμα καινοτομίας που έχει ήδη αρχίσει να επανασχεδιάζει τον τρόπο εργασίας, τις κοινωνικές και πολιτικές αλληλεπιδράσεις και τους παραδοσιακούς τρόπους ανταλλαγής. Ωστόσο δεν είναι μόνο μια απλή αλλαγή, αλλά ένα ραγδαίως αναπτυσσόμενο φαινόμενο που ήδη βρίσκεται σε εξέλιξη. Κατά τη συγγραφή αυτή, περισσότερα από 40 κορυφαία χρηματοπιστωτικά ιδρύματα και πολλές διαφορετικές επιχειρήσεις σε διάφορες βιομηχανίες, άρχισαν να διερευνούν τις δυνατότητες του blockchain με σκοπό να μειώσουν το κόστος των συναλλαγών, να επιταχύνουν το χρόνο περάτωσής τους, να μειώσουν τον κίνδυνο απάτης και να εξαλείψουν τους μεσάζοντες ή τις υπηρεσίες διαμεσολάβησης. Η τεχνολογική ιδέα πίσω από το Blockchain είναι πολύ πανομοιότυπη με αυτή μιας βάσης δεδομένων και μέσα από αυτήν την προσέγγιση, γίνεται η χρήση του στην ανάπτυξη της voting εφαρμογής, αποδεικνύοντας με ρεαλιστικό τρόπο ότι η αλυσίδα του Ethereum μπορεί να αναλάβει ηγετικό ρόλο στη νέα εποχή, που σκοπό έχει τη δημιουργία αποκεντρωμένων εφαρμογών.