Zeeshan Jan, Allan Third, Michelle Bachler, John Domingue
Peer-reviewing holds a significant importance in the process of scientific publishing. The process of peer-reviewing has been criticized for its defects, but research communities have faith in it, and hence, it is perceived as the backbone of scientific publishing. The process needs improvements in a number of ways, i.e, establishing trust in the pro- cess, preventing abuse, bringing transparency in the process and keeping the integrity of data intact. Moreover, the activity of peer-reviewing is carried out without any formal incentives. We present considerations in refreshing peer-review, and our approach to experiment in this space.
In wireless sensor networks (WSNs), provenance is vital for assessing data's trustworthiness, detecting the misbehaviors conducted by adversaries or troubleshooting communication failures. The provenance can be encoded through fingerprinting the node IDs along a packet path where the packets are generated, forwarded and/or aggregated. Because WSNs are resource-tightened networks, most of the known provenance schemes applied in WSNs address the issues on how to reduce the provenance size with various compression techniques only. However, reducing the provenance size at a sensor node also costs too much energy. In addition, such schemes did not take the secure and persistant provenance storage for consideration in a long term. To fill the gap, we propose a blockchainbased data provenance scheme (BCP) of compression free, where the provenances are stored distributively on the nodes along the packet path and the BS can retrieve the provenance on demand through a query process. An edge computing based monitor network consisting of high performance nodes (H-nodes) is deployed above or nearby the WSNs, which keeps the WSN's provenance data in a blockchain-based database. The security and authenticity of the provenances are then protected. What's more, the WSN is released from consuming much energy in handling provenance data, which is more superior to all the previous schemes. Both the simulation and experiment results show that our scheme BCP is more energy efficient and secure than those of the known distributed data provenances.
In a research community, the provenance sharing of scientific workflows can enhance distributed research cooperation, experiment reproducibility verification and experiment repeatedly doing. Considering that scientists in such a community are often in a loose relation and distributed geographically, traditional centralized provenance sharing architectures have shown their disadvantages in poor trustworthiness, reliabilities and efficiency. Additionally, they are also difficult to protect the rights and interests of data providers. All these have been largely hindering the willings of distributed scientists to share their workflow provenance. Considering the big advantages of blockchain in decentralization, trustworthiness and high reliability, an approach to sharing scientific workflow provenance based on blockchain in a research community is proposed. To make the approach more practical, provenance is handled on-chain and original data is delivered off-chain. A kind of block structure to support efficient provenance storing and retrieving is designed, and an algorithm for scientists to search workflow segments from provenance as well as an algorithm for experiments backtracking are provided to enhance the experiment result sharing, save computing resource and time cost by avoiding repeated experiments as far as possible. Analyses show that the approach is efficient and effective.
Abdullah Al-Mamun, Tonglin Li, Mohammad Sadoghi, Dongfang Zhao
The state-of-the-art approaches for tracking data provenance on high-performance computing (HPC) systems are either supported by file systems or relational databases. These techniques shared the same critique on the provenance data’s fidelity and the associated I/O overhead. This paper envisions to track the HPC data provenance using a distributed in-memory ledger—the core technique leveraged by blockchains and proven to be highly trustworthy by many large-scale applications. We pinpoint two system challenges—storage architecture and consensus protocol—for adopting blockchains to HPC and make the following contributions: (i) We design a new in-memory blockchain architecture for HPC systems, exploiting the high-performance network infrastructure InfiniBand and greatly reducing the I/O overhead; and (ii) We develop a new consensus protocol, namely proof-of-reproducibility (PoR), crafted for the new architecture, which takes into account both proof-of-work (PoW) and proof-of-stake (PoS) mechanisms. The correctness of PoR is both theoretically proven and experimentally verified. A prototype system is implemented and evaluated with more than one million transactions, showing 32× speedup compared to the filesystem-based provenance service and four orders of magnitude speedup compared to the database-based provenance service.
Blockchain Technology Applications and Security
Scientific Computing and Data Management
Innovative Microfluidic and Catalytic Techniques Innovation
Several problems exist in scientific research project management systems (SRPMSs), such as forgery, tampering, and plagiarism in project application. Additionally, withdrawal and misappropriation of funds in the course of projects and qualitative analysis and evaluation of the expected results of projects consisting of papers, monographs, (tests)reports, and patent inventions during project review remain a challenging task for SRPMS. Blockchain is a distributed database that is maintained by the entire network. It maintains all historical transaction data. This paper proposes researchain using blockchain for SRPMSs and analyzes the key technologies of each module in this model. This provides a new method for the construction of science research management platform.
The paper suggests a new approach based on blockchain technologies and smart contracts to creation of a distributed system for managing provenance metadata, as well as access rights to data in distributed storages, which is fault-tolerant, safe and secure from the point of view of preservation of metadata records from accidental or intentional distortions. The implementation of the proposed approach is based on the permissioned blockchains and on the Hyperledger Fabric blockchain platform in conjunction with Hyperledger Composer.
Sai Medury, Anthony Skjellum, Richard R. Brooks, Lu Yu
X.509 certificates underpin the security of the Internet economy, notably secure web servers, and they need to be revoked promptly and reliably once they are compromised. The original revocation method specified in the X.509 standard, to distribute certificate revocation lists (CRLs), is both old and untrustworthy. CRLs are susceptible to attacks such as Man-in-the-Middle and Denial of Service. The newer Online Certificate Status Protocol (OCSP) and OCSP-stapling approaches have well-known drawbacks as well. The primary contribution of this paper is Secure Revocation as a Peer Service (SCRaaPS). SCRaaPS is an alternative, reliable way to support X.509 certificate revocation via the Scrybe secure provenance system. The blockchain support of Scrybe enables the creation of a durable, reliable revocation service that can withstand Denial-of-Service attacks and ensures non-repudiation of certificates revoked. We provide cross-CA-revocation information and address the additional problem of intermediate-certificate revocation with the knock-on effects on certificates derived thereof. A Cuckoo filter provides quick, communication-free testing by servers and browsers against our current revocation list (with no false negatives). A further contribution of this work is that the revocation service can fit in as a drop-in replacement for OCSP-stapling with superior performance and coverage both for servers and browsers. Potential revocation indicated by our Cuckoo filter is backed up by rigorous service query to eliminate false positives. Cuckoo filter parameters are also stored in our blockchain to provide open access to this algorithmic option for detection. We describe the advantages of using a blockchain-based system and, in particular, the approach to distributed ledger technology and lightweight mining enabled by Scrybe, which was designed with secure provenance in mind.
Blockchains are tamper evident and tamper resistant digital ledgers implemented in a distributed fashion (i.e., without a central repository) and usually without a central authority (i.e., a bank, company, or government). At their basic level, they enable a community of users to record transactions in a shared ledger within that community, such that under normal operation of the blockchain network no transaction can be changed once published. This document provides a high-level technical overview of blockchain technology. The purpose is to help readers understand how blockchain technology works.
Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy · 9 authors
Large-scale computational experiments, often running over weeks and over large datasets, are used extensively in fields such as epidemiology, meteorology, computational biology, and healthcare to understand phenomena, and design high-stakes policies affecting everyday health and economy. For instance, the OpenMalaria framework is a computationally-intensive simulation used by various non-governmental and governmental agencies to understand malarial disease spread and effectiveness of intervention strategies, and subsequently design healthcare policies. Given that such shared results form the basis of inferences drawn, technological solutions designed, and day-to-day policies drafted, it is essential that the computations are validated and trusted. In particular, in a multi-agent environment involving several independent computing agents, a notion of trust in results generated by peers is critical in facilitating transparency, accountability, and collaboration. Using a novel combination of distributed validation of atomic computation blocks and a blockchain-based immutable audits mechanism, this work proposes a universal framework for distributed trust in computations. In particular we address the scalaibility problem by reducing the storage and communication costs using a lossy compression scheme. This framework guarantees not only verifiability of final results, but also the validity of local computations, and its cost-benefit tradeoffs are studied using a synthetic example of training a neural network.
Key points Digital Science's paper is one of the first looking at the application of blockchain technology in scholarly publishing. Wholesale use of blockchain technologies is suggested as a possible replacement for scholarly publishers. There remain questions around the adoption of blockchain technologies, including privacy, researcher support, and fraudulent use. Blockchain technologies may provide a new means of understanding problems and customers' evolving expectations, but careful consideration is required of whether blockchain is the best solution.
Krzysztof Janowicz, Blake Regalia, Pascal Hitzler, Gengchen Mai · 8 authors
Distributed ledger technologies such as blockchains and smart contracts have the potential to transform many sectors ranging from the handling of health records to real estate. Here we discuss the value proposition of these technologies and cryptocurrencies for science in general and academic publishing in specific. We outline concrete use cases, provide an informal model of how the Semantic Web journal's peer-review workflow could benefit from distributed ledger technologies, and also point out challenges in implementing such a setup.
Purpose The purpose of this paper is to employ the case of Organization for Economic Cooperation and Development (OECD) data repositories to examine the potential of blockchain technology in the context of addressing basic contemporary societal concerns, such as transparency, accountability and trust in the policymaking process. Current approaches to sharing data employ standardized metadata, in which the provider of the service is assumed to be a trusted party. However, derived data, analytic processes or links from policies, are in many cases not shared in the same form, thus breaking the provenance trace and making the repetition of analysis conducted in the past difficult. Similarly, it becomes tricky to test whether certain conditions justifying policies implemented still apply. A higher level of reuse would require a decentralized approach to sharing both data and analytic scripts and software. This could be supported by a combination of blockchain and decentralized file system technology. Design/methodology/approach The findings presented in this paper have been derived from an analysis of a case study, i.e., analytics using data made available by the OECD. The set of data the OECD provides is vast and is used broadly. The argument is structured as follows. First, current issues and topics shaping the debate on blockchain are outlined. Then, a redefinition of the main artifacts on which some simple or convoluted analytic results are based is revised for some concrete purposes. The requirements on provenance, trust and repeatability are discussed with regards to the architecture proposed, and a proof of concept using smart contracts is used for reasoning on relevant scenarios. Findings A combination of decentralized file systems and an open blockchain such as Ethereum supporting smart contracts can ascertain that the set of artifacts used for the analytics is shared. This enables the sequence underlying the successive stages of research and/or policymaking to be preserved. This suggests that, in turn, and ex post , it becomes possible to test whether evidence supporting certain findings and/or policy decisions still hold. Moreover, unlike traditional databases, blockchain technology makes it possible that immutable records can be stored. This means that the artifacts can be used for further exploitation or repetition of results. In practical terms, the use of blockchain technology creates the opportunity to enhance the evidence-based approach to policy design and policy recommendations that the OECD fosters. That is, it might enable the stakeholders not only to use the data available in the OECD repositories but also to assess corrections to a given policy strategy or modify its scope. Research limitations/implications Blockchains and related technologies are still maturing, and several questions related to their use and potential remain underexplored. Several issues require particular consideration in future research, including anonymity, scalability and stability of the data repository. This research took as example OECD data repositories, precisely to make the point that more research and more dialogue between the research and policymaking community is needed to embrace the challenges and opportunities blockchain technology generates. Several questions that this research prompts have not been addressed. For instance, the question of how the sharing economy concept for the specifics of the case could be employed in the context of blockchain has not been dealt with. Practical implications The practical implications of the research presented here can be summarized in two ways. On the one hand, by suggesting how a combination of decentralized file systems and an open blockchain, such as Ethereum supporting smart contracts, can ascertain that artifacts are shared, this paper paves the way toward a discussion on how to make this approach and solution reality. The approach and architecture proposed in this paper would provide a way to increase the scope of the reuse of statistical data and results and thus would improve the effectiveness of decision making as well as the transparency of the evidence supporting policy. Social implications Decentralizing analytic artifacts will add to existing open data practices an additional layer of benefits for different actors, including but not limited to policymakers, journalists, analysts and/or researchers without the need to establish centrally managed institutions. Moreover, due to the degree of decentralization and absence of a single-entry point, the vulnerability of data repositories to cyberthreats might be reduced. Simultaneously, by ensuring that artifacts derived from data based in those distributed depositories are made immutable therein, full reproducibility of conclusions concerning the data is possible. In the field of data-driven policymaking processes, it might allow policymakers to devise more accurate ways of addressing pressing issues and challenges. Originality/value This paper offers the first blueprint of a form of sharing that complements open data practices with the decentralized approach of blockchain and decentralized file systems. The case of OECD data repositories is used to highlight that while data storing is important, the real added value of blockchain technology rests in the possible change on how we use the data and data sets in the repositories. It would eventually enable a more transparent and actionable approach to linking policy up with the supporting evidence. From a different angle, throughout the paper the case is made that rather than simply data, artifacts from conducted analyses should be made persistent in a blockchain. What is at stake is the full reproducibility of conclusions based on a given set of data, coupled with the possibility of ex post testing the validity of the assumptions and evidence underlying those conclusions.
The redesign of cloud storage with the amalgamation of cooperative cloud and an immutable and unhackable distributed database blockchain thrives towards a strong CIA triad and secured data provenance. The conspiracy ideology associated with the traditional cloud has economized with cooperative cloud storage like Storj and Sia, decentralized storage, which allows renting the unused hard drive space and getting monetary compensation in an exchange with cryptocurrency. In this article, the authors explain how confidentiality, integrity and availability can be progressed with cooperative cloud storage along with tamper-proof data provenance management with ethereum smart contracts using zero-knowledge proof (ZKP). A contemporary architecture is proposed with regards to storing data on the cooperative cloud and collecting and verifying the provenance data from the cloud and publishing the provenance data into blockchain network as transactions.
The emergence of a "post-fact" world has seen knowledge being misinterpreted and manipulated to suit diverse purposes. Information from credible sources is often drowned out by `facts' with dubious provenance. It is not enough to simply establish knowledge provenance if this meta-data can be changed afterwards. This paper presents a possible solution using blockchains to manage knowledge provenance. The solution is modelled using a concrete example of knowledge institutions. Variations and extensions to suit other domains are suggested. Particularly, a graph based variation of the blockchain is outlined. We also discuss the impact of our model beyond technology.
This paper offers an overview of the highlights of the NFAIS Conference, Blockchain for Scholarly Publishing, that was held in Alexandria, VA from May 15–16, 2018. The goal of the conference was to take a close look at the initiatives that have emerged as a result of the increasing global acceptance of blockchain technology. This technology, chiefly known as the foundation of Bitcoin and originally introduced as a means of securely managing cryptocurrency, has proven to have practical applications beyond finance. The basic technology is that of a distributed ledger and it is being broadly-adopted by multiple industries, including the scholarly publishing community. The capabilities of this new technology are prompting a direct exchange among stakeholders, as blockchain promises a more structured, decentralized, and immutably secure approach that has the potential to significantly impact researcher workflows - from data collection to peer review to access and published work. The technology inspires passion - there are those who believe that it will ultimately transform our lives while others are completely skeptical. The NFAIS conference provided a look at both sides of the coin (no pun intended).
Chelsea Hinds-Charles, Jenelee Adames, Ye Yang, Yusong Shen · 5 authors
As one of the most successful Blockchain systems, Bitcoin evolved over the past 8 years. The collaborative contribution of its online software development community gradually shaped the functionality and performance of Bitcoin. To date, most discussions around Bitcoin are from technologies underlying the product, as well as market applications. There are very few studies on the development and evolution processes of the Bitcoin software. It is important to investigate on such developmental issues, in order to better understand the development methodologies and lessons learnt from such a spearheaded Blockchain system. This paper serves this purpose by examining the issues data extracted from the Bitcoin GitHub repository from 2011 to 2018. It reports the trends of the major development issues from a longitude perspective. The main results include: 1) the average lifespan of an issue in Bitcoin issue repository is approximately 57 days; and 2) the Top-7 issue types including refactoring, tests, doc, RPC.REST.ZMQ, GUI, bugs, and wallet, accounting for 64.3% of all issues; 3) topic modeling techniques are beneficial in mining popularity and evolution of key issue topics and most problematic architecture components. Using data analysis and visualization techniques, this paper suggests the insights for significant development decisions such as better managing issue repository and strategic allocating of bug resolution effort.
Petr Novotny, Qi Zhang, Richard Hull, Salman Baset · 8 authors
Academic publishing is continuously evolving with the gradual adoption of new technologies. Blockchain is a new technology that promises to change how individuals and organizations interact across various boundaries. The adoption of blockchains is beginning to transform diverse industries such as finance, supply chain, international trade, as well as energy and resource management and many others. Through trust, data immutability, decentralized distribution of data, and facilitation of collaboration without the need for centralized management and authority, blockchains have the potential to transform the academic publishing domain and to address some of the current problems such as productivity and reputation management, predatory publishing, transparent peer-review processes and many others. In this paper, we outline the technologies available in the domain of permissioned blockchains with focus on Hyperledger Fabric and discuss how they can be leveraged in the domain of academic publishing.
With the increasing of using workflow management systems workflow improvement becomes a new emerging problem. Many issues must be considered to handle all aspects of the workflow improvement. Workflows might become quite complex, especially when we move to Web3 (ubiquitous computing web). Workflows from different domains (e.g., scientific or business) have similarities and, more important, differences between themselves. Some concepts and solutions developed in one domain may be readily applicable to the other. In ubiquitous computing, multi-domain workflow data analysis might cause Big Data challenge. This paper investigates the problem of workflow improvement having an observed behavior (i.e., event logs). It proposes a cross-domain concept extraction by similarity assessment to solve some aspects of workflow improvement problem, and it has a new research effort at the intersection of workflow domains. Besides, the proposed technique is evaluated with the benefit of using Deep learning and Transfer learning. One of the greatest assets to use these both learning methods is analyzing a massive amount of data. Our results show that our proposed technique is effectively applicable for analyzing real-life huge data in workflow improvement.
Hao Dai, H. P. Young, Thomas J S Durant, Guannan Gong · 8 authors
The governance of data used for biomedical research and clinical trials is an important requirement for generating accurate results. To improve the visibility of data quality and analysis, we developed TrialChain, a blockchain-based platform that can be used to validate data integrity from large, biomedical research studies. We implemented a private blockchain using the MultiChain platform and integrated it with a data science platform deployed within a large research center. An administrative web application was built with Python to manage the platform, which was built with a microservice architecture using Docker. The TrialChain platform was integrated during data acquisition into our existing data science platform. Using NiFi, data were hashed and logged within the local blockchain infrastructure. To provide public validation, the local blockchain state was periodically synchronized to the public Ethereum network. The use of a combined private/public blockchain platform allows for both public validation of results while maintaining additional security and lower cost for blockchain transactions. Original data and modifications due to downstream analysis can be logged within TrialChain and data assets or results can be rapidly validated when needed using API calls to the platform. The TrialChain platform provides a data governance solution to audit the acquisition and analysis of biomedical research data. The platform provides cryptographic assurance of data authenticity and can also be used to document data analysis.
To ensure integrity, trust, immutability and authenticity of software and information (cyber data, user data and attack event data) in a collaborative environment, research is needed for cross-domain data communication, global software collaboration, sharing, access auditing and accountability. Blockchain technology can significantly automate the software export auditing and tracking processes. It allows to track and control what data or software components are shared between entities across multiple security domains. Our blockchain-based solution relies on role-based and attribute-based access control and prevents unauthorized data accesses. It guarantees integrity of provenance data on who updated what software module and when. Furthermore, our solution detects data leakages, made behind the scene by authorized blockchain network participants, to unauthorized entities. Our approach is used for data forensics/provenance, when the identity of those entities who have accessed/ updated/ transferred the sensitive cyber data or sensitive software is determined. All the transactions in the global collaborative software development environment are recorded in the blockchain public ledger and can be verified any time in the future. Transactions can not be repudiated by invokers. We also propose modified transaction validation procedure to improve performance and to protect permissioned IBM Hyperledger-based blockchains from DoS attacks, caused by bursts of invalid transactions.
Deepak K. Tosh, Sachin Shetty, Peter Foytik, Charles Kamhoua · 5 authors
Maintaining data provenance in cloud in a tamper-resistant manner that cannot be breached by malicious parties is a necessity from the current security standpoint. Blockchain technology has emerged as a secure solution to store and share information by offering an immutable distributed ledger service. Its effectiveness hinges on the infrastructure supporting the distributed ledger and consensus protocol that governs the validity of entries in the Blockchain. Hence, Blockchain can be a potential candidate to implement data provenance; however, traditional cryptocurrency-based consensus models become a bottleneck in the cloud environment. Therefore, in this paper, we propose a Blockchain based data provenance architecture (BlockCloud) that incorporates a proof-of-stake (PoS)-based consensus protocol (CloudPoS) for securely recording the data operations occurring in cloud environment. The critical operational phases of the protocol are discussed in depth, which leverages the cloud users' cyber infrastructure resources. A cloud-based testbed environment is created using a local cluster of physical machines managed by Xen hypervisor. Resource elasticity is enabled using Kubernetes setup that interacts with the dockerized containers, which emulate as peers in the Blockchain network. We then evaluate the effectiveness of the protocol in a simulated environment and conduct performance tests of the proposed consensus.
The rise of fraudulent cases seems to be a nuisance to an organization as they're an investment of money. Various resources also gives the impression to be on someone else, who has false claims. The verification process of these organizations are long and tedious process where the organization would have lost its time and resource on. Blockchain technology was introduced fairly recently in literature, which is the underlying technology behind the very popular cryptocurrency Bitcoin. The blockchain is a decentralized approach, it is secured by design network which was to overcome double spending problem by a central server. The concept of servers is eradicated in this architecture, where the data is distributed across geographically on separate ledgers. Blockchain applications have diversified as MIT Media Labs introduced Blockcerts for certification of academic records. Ethereum is platform for developing these decentralized applications using Blockchain ledgers. Ethereum uses a concept called Merkle trees which is the concept used for verification through hashing. As per the working in the literature; this application would make verification of academic documents simple and quick with the usage of Blockchain clients such as Ethereum and an IPFS hash. In this paper we propose a system that provides a solution that addresses the above mentioned issues.
Nicholas Stifter, Aljosha Judmayer, Philipp Schindler, Alexei Zamyatin · 5 authors
The term Nakamoto consensus is generally used to refer to Bitcoin’s novel consensus mechanism, by which agreement on its underlying transaction ledger is reached. It is argued that this agreement protocol represents the core innovation behind Bitcoin, because it promises to facilitate the decentralization of trusted third parties. Specifically, Nakamoto consensus seeks to enable mutually distrusting entities with weak pseudonymous identities to reach eventual agreement while the set of participants may change over time. When the Bitcoin white paper was published in late 2008, it lacked a formal analysis of the protocol and the guarantees it claimed to provide. It would take the scientific community several years before first steps towards such a formalization of the Bitcoin protocol and Nakamoto consensus were presented. However, since then the number of works addressing this topic has grown substantially, providing many new and valuable insights. Herein, we present a coherent picture of advancements towards the formalization of Nakamoto consensus, as well as a contextualization in respect to previous research on the agreement problem and fault tolerant distributed computing. Thereby, we outline how Bitcoin’s consensus mechanism sets itself apart from previous approaches and where it can provide new impulses and directions to the scientific community. Understanding the core properties and characteristics of Nakamoto consensus is of key importance, not only for assessing the security and reliability of various blockchain systems that are based on the fundamentals of this scheme, but also for designing future systems that aim to fulfill comparable goals.
Sharing provenance across workflow management systems automatically is not currently possible, but the value of such a capability is high since it could greatly reduce the amount of duplicated workflows, accelerate the discovery of new knowledge, and verify the integrity of past and present analyses. Although numerous technological challenges exist to efficiently share provenance information across workflow management systems, permissioned distributed ledgers could surmount many of them. The primary benefit of permissioned distributed ledgers over other technologies is that their distribution is over a peer-to-peer network that encodes transactions across the network into an immutable hash list and achieves consensus on the validity of the new data through a common consensus mechanism. This work discusses provenance and distributed ledgers on their own and then presents an argument that distributed ledgers naturally satisfy many of the requirements of workflow provenance, that provenance information can exist in the ledger in multiple ways, and that a number of novel research areas exist based on this strategy.
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Blockchain Technology Applications and Security
Scientific Computing and Data Management
Innovative Microfluidic and Catalytic Techniques Innovation