Hasil untuk "blockchain"

S. Underwood

Esther Mengelkamp, Benedikt Notheisen, Carolin Beer et al.

A. Dorri, S. Kanhere, R. Jurdak

Xueping Liang, S. Shetty, Deepak K. Tosh et al.

N. Kshetri

Abstract This paper evaluates blockchain's roles in strengthening cybersecurity and protecting privacy. Since most of the data is currently stored in cloud data centers, it also compares how blockchain performs vis-vis the cloud in various aspects of security and privacy. Key underlying mechanisms related to the blockchain's impacts on the Internet of Things (IoT) security are also covered. From the security and privacy considerations, it highlights how blockchain-based solutions could possibly be, in many aspects, superior to the current IoT ecosystem, which mainly relies on centralized cloud servers through service providers. Using practical applications and real-world examples, the paper argues that blockchain's decentralized feature is likely to result in a low susceptibility to manipulation and forgery by malicious participants. Special consideration is also given to how blockchain-based identity and access management systems can address some of the key challenges associated with IoT security. The paper provides a detailed analysis and description of blockchain's roles in tracking the sources of insecurity in supply chains related to IoT devices. The paper also delves into how blockchain can make it possible to contain an IoT security breach in a targeted way after it is discovered. It discusses and evaluates initiatives of organizations, inter-organizational networks and industries on this front. A number of policy implications are discussed. First, in order to strengthen IoT, regulators can make it obligatory for firms to deploy blockchain in supply chain, especially in systems that are mission critical, and have substantial national security and economic benefits. Second, public policy efforts directed at protecting privacy using blockchain should focus on providing training to key stakeholders and increasing investment in this technology. Third, one way to enrich the blockchain ecosystem would be to turn attention to public–private partnerships. Finally, national governments should provide legal clarity and more information for parties to engage in smart contracts that are enforceable.

Marten Risius, Kai Spohrer

M. Atzori

La versione italiana di questo documento e disponibile al seguente link: http://ssrn.com/abstract=2731132The core technology of Bitcoin, the blockchain, has recently emerged as a disruptive innovation with a wide range of applications, potentially able to redesign our interactions in business, politics and society at large. Although scholarly interest in this subject is growing, a comprehensive analysis of blockchain applications from a political perspective is severely lacking to date. This paper aims to fill this gap and it discusses the key points of blockchain-based decentralized governance, which challenges to varying degrees the traditional mechanisms of State authority, citizenship and democracy. In particular, the paper verifies to which extent blockchain and decentralized platforms can be considered as hyper-political tools, capable to manage social interactions on large scale and dismiss traditional central authorities. The analysis highlights risks related to a dominant position of private powers in distributed ecosystems, which may lead to a general disempowerment of citizens and to the emergence of a stateless global society. While technological utopians urge the demise of any centralized institution, this paper advocates the role of the State as a necessary central point of coordination in society, showing that decentralization through algorithm-based consensus is an organizational theory, not a stand-alone political theory.

Keke Gai, Jinnan Guo, Liehuang Zhu et al.

Blockchain technology has been deemed to be an ideal choice for strengthening existing computing systems in varied manners. As one of the network-enabled technologies, cloud computing has been broadly adopted in the industry through numerous cloud service models. Fusing blockchain technology with existing cloud systems has a great potential in both functionality/performance enhancement and security/privacy improvement. The question remains on how blockchain technology inserts into current deployed cloud solutions and enables the reengineering of cloud datacenter. This survey addresses this issue and investigates recent efforts in the technical fusion of blockchain and clouds. Three technical dimensions roughly are covered in this work. First, we concern the service model and review an emerging cloud-relevant blockchain service model, Blockchain-as-a-Service (BaaS); second, security is considered a key technical dimension in this work and both access control and searchable encryption schemes are assessed; finally, we examine the performance of cloud datacenter with supports/participance of blockchain from hardware and software perspectives. Main findings of this survey will be theoretical supports for future reference of blockchain-enabled reengineering of cloud datacenter.

Israa Abu-elezz, Asma Hassan, Anjanarani Nazeemudeen et al.

BACKGROUND The application of blockchain technology is being explored to improve the interoperability of patient health information between healthcare organisations while maintaining the privacy and security of data. OBJECTIVES The objective of this scoping review is to explore and categorise the benefits and threats of blockchain technology application in a healthcare system. METHODS Databases such as PubMed, CINAHL, IEEE, Springer, and ScienceDirect were searched using a combination of terms related to blockchain, healthcare, benefits and threats. Backward-reference list checking was conducted to identify other relevant references. Study selection process was performed in three steps based on PRISMA flow diagram. Extracted data were synthesised and presented narratively using tables and figures. RESULTS The search resulted in 84 relevant studies that have been conducted of which only 37 unique studies were included in this review. Eight benefits of blockchain were categorised in either patient related-benefits (security and authorisation, personalised healthcare, patients' health data tracking, and patient's health status monitoring) or organisational-related benefits (health information exchange, pharmaceutical supply chain, clinical trials, and medical insurance management). Meanwhile, eight threats of blockchain were categorised into three groups: organisational threats (installation and transaction costs, interoperability issues, and lack of technical skills), social threats (social acceptance and regulations issues), and technological threats (scalability issues, authorisation and security issues, high energy consumption, and slow processing speeds). CONCLUSION Blockchain is a viable technology that can improve the healthcare data sharing and storing system owing to its decentralisation, immutability, transparency and traceability features. However, many healthcare organisations remain hesitant to adopt blockchain technology due to threats such as security and authorisation issues, interoperability issues and lack of technical skills related to blockchain technology.

Abbas Yazdinejad, R. Parizi, A. Dehghantanha et al.

Internet of Things (IoT) is a disruptive technology in many aspects of our society, ranging from communications to financial transactions to national security (e.g., Internet of Battlefield / Military Things), and so on. There are long-standing challenges in IoT, such as security, comparability, energy consumption, and heterogeneity of devices. Security and energy aspects play important roles in data transmission across IoT and edge networks, due to limited energy and computing (e.g., processing and storage) resources of networked devices. Whether malicious or accidental, interference with data in an IoT network potentially has real-world consequences. In this article, we explore the potential of integrating blockchain and software-defined networking (SDN) in mitigating some of the challenges. Specifically, we propose a secure and energy-efficient blockchain-enabled architecture of SDN controllers for IoT networks using a cluster structure with a new routing protocol. The architecture uses public and private blockchains for Peer to Peer (P2P) communication between IoT devices and SDN controllers, which eliminates Proof-of-Work (POW), as well as using an efficient authentication method with the distributed trust, making the blockchain suitable for resource-constrained IoT devices. The experimental results indicate that the routing protocol based on the cluster structure has higher throughput, lower delay, and lower energy consumption than EESCFD, SMSN, AODV, AOMDV, and DSDV routing protocols. In other words, our proposed architecture is demonstrated to outperform classic blockchain.

Hamda Al-Breiki, M. H. Rehman, K. Salah et al.

The essence of blockchain smart contracts lies in the execution of business logic code in a decentralized architecture in which the execution outcomes are trusted and agreed upon by all the executing nodes. Despite the decentralized and trustless architectures of the blockchain systems, smart contracts on their own cannot access data from the external world. Instead, smart contracts interact with off-chain external data sources, called oracles, whose primary job is to collect and provide data feeds and input to smart contracts. However, there is always risk of oracles providing corrupt, malicious, or inaccurate data. In this paper, we analyze and present the notion of trust in the oracles used in blockchain ecosystems. We analyze and compare trust-enabling features of the leading blockchain oracle approaches, techniques, and platforms. Moreover, we discuss open research challenges that should be addressed to ensure secure and trustworthy blockchain oracles.

Arzoo Miglani, Neeraj Kumar, V. Chamola et al.

Abstract After smart grid, Internet of Energy (IoE) has emerged as a popular technology in the energy sector by integrating different forms of energy. IoE uses Internet to collect, organize, optimize and manage the networks energy information from different edge devices in order to develop a distributed smart energy infrastructure. Sensors and communication technologies are used to collect data and to predict demand and supply by consumers and suppliers respectively. However, with the development of renewable energy resources, Electric Vehicles (EVs), smart grid and Vehicle-to-grid (V2G) technology, the existing energy sector started shifting towards distributed and decentralized solutions. Moreover, the security and privacy issues because of centralization is another major concern for IoE technology. In this context, Blockchain technology with the features of automation, immutability, public ledger facility, irreversibility, decentralization, consensus and security has been adopted in the literature for solving the prevailing problems of centralized IoE architecture. By leveraging smart contracts, blockchain technology enables automated data exchange, complex energy transactions, demand response management and Peer-to-Peer (P2P) energy trading etc. Blockchain will play vital role in the evolution of the IoE market as distributed renewable resources and smart grid network are being deployed and used. We discuss the potential and applications of blockchain in the IoE field. This article is build on the literature research and it provides insight to the end-user regarding the future IoE scenario in the context of blockchain technology. Lastly this article discusses the different consensus algorithm for IoE technology.

Hang Xiong, T. Dalhaus, Puqing Wang et al.

The blockchain is a ledger of accounts and transactions that are written and stored by all participants. It promises a reliable source of truth about the state of farms, inventories and contracts in agriculture, where the collection of such information is often incredibly costly. The blockchain technology can track the provenance of food and thus helps create trustworthy food supply chains and build trust between producers and consumers. As a trusted way of storing data, it facilitates the use of data-driven technologies to make farming smarter. In addition, jointly used with smart contracts, it allows timely payments between stakeholders that can be triggered by data changes appearing in the blockchain This article examines the applications of blockchain technology in food supply chains, agricultural insurance, smart farming, transactions of agricultural products for both theoretical and practical perspectives. We also discuss the challenges of recording transactions made by smallholder farmers and creating the ecosystem for utilizing the blockchain technology in the food and agriculture sector.

B. Bhushan, A. Khamparia, K. Sagayam et al.

Abstract In recent years, smart city has emerged as a new paradigm to provide high quality facilities to the citizens by dynamically optimising the city resources. Smart cities can offer finest services for boosting the daily life of citizens on healthcare, transportation, energy consumption, and education. However, the concept of smart city is still evolving and despite its potential vision, there are proliferating security challenges. Blockchain has the potential to promote the development of smart cities owing to its good properties such as auditability, transparency, immutability and decentralization. Therefore, this paper presents the state-of-the-art blockchain technology to solve the security issues of smart cities. Initially, the paper throws light on the background knowledge and then surveys the utility of blockchain in various smart communities such as healthcare, transportation, smart grid, supply chain management, financial systems and data center networks. Finally, some future research directions are identified through extensive literature survey on blockchain based smart city systems.

S. Wamba, M. Queiroz

Abstract The emergence of Industry 4.0 has brought in its wake an important number of challenges and opportunities for organisations across the globe. To cope with such a fast-changing environment, organisations have been steadily implementing different types of technologies, and at different stages. One of the most disruptive and promising technology is blockchain, and its potential to transform various aspects of organisations’ business and operations, including the supply chain relationships, is tremendous. In line with the global research trend in this domain, this paper proposes a multi-stage model of adoption (intention, adoption, and routinisation stages), for a better understanding of blockchain diffusion across supply chains. We drew on the diffusion of innovations theory, the resource-based view, dynamic capability, the technology adoption model, and the institutional theory to propose a multi-stage model. We validated the model using PLS-SEM, which was applied on data collected in India and the U.S. Our results showed that, from one country to another, there are essential differences in the variables that determine blockchain innovation and in the stage of diffusion. Additionally, our proposed model provided a good explanation at all stages of blockchain diffusion. This study offers significant and valuable contributions in terms of theory and management.

Nitin Upadhyay

Abstract The blockchain is considered to be the potential driver of the digital economy. The Blockchain technology outweighs the challenges associated with the traditional transaction business governed and regulated by the third trusted party. There is a growth in the interest among the researchers, the industry, and the academia to study and leverage the potential of Blockchain. Blockchain provides a decentralized and distributed public ledger for all the participating parties. Though it seems that blockchain is a viable choice and solution for all the centralized governed and regulated transactions (in digital online space), it has potential challenges that need to be resolved; opportunities to be explored, and applications to be studied. This paper utilizes a systematic literature review to study several research endeavors made in the domain of blockchain. To further research on blockchain adoption, the paper theoretically constructs an integrated framework of the blockchain innovation adoption process in an organization considering organizational and user acceptance perspectives. This would facilitate its widespread adoption, thereby achieving sustained leadership solutions. The paper offers 23 propositions to information systems (IS)/information management (IM) scholars with respect to innovation characteristics, organizational characteristics, environmental characteristics, and user acceptance characteristics. Further, the paper explores several areas of future research and directions that can provide deep insights for overcoming challenges and for the adoption of blockchain technology.

Shang Jiang, Yuze Li, Quanying Lu et al.

The growing energy consumption and associated carbon emission of Bitcoin mining could potentially undermine global sustainable efforts. By investigating carbon emission flows of Bitcoin blockchain operation in China with a simulation-based Bitcoin blockchain carbon emission model, we find that without any policy interventions, the annual energy consumption of the Bitcoin blockchain in China is expected to peak in 2024 at 296.59 Twh and generate 130.50 million metric tons of carbon emission correspondingly. Internationally, this emission output would exceed the total annualized greenhouse gas emission output of the Czech Republic and Qatar. Domestically, it ranks in the top 10 among 182 cities and 42 industrial sectors in China. In this work, we show that moving away from the current punitive carbon tax policy to a site regulation policy which induces changes in the energy consumption structure of the mining activities is more effective in limiting carbon emission of Bitcoin blockchain operation. The growing energy consumption and carbon emissions of Bitcoin mining could potentially undermine global sustainability efforts. Here, the authors show the annual energy consumption of the Bitcoin blockchain in China is expected to peak in 2024 at 296.59 Twh and generate 130.50 million metric tons of carbon emissions.

S. Ahluwalia, Raj V. Mahto, Maribel Guerrero

Cryptocurrencies (e.g., Bitcoin, EOS, Etherum, Litecoin, and others) are disrupting the traditional banking and financial systems. The cryptocurrencies are based on a set of technologies commonly referred to as blockchain technology. The potential effect of blockchain technology on institutional economics is profound. Already, blockchain technology-based applications in supply chain management, marketing, and finance are decentralizing and streamlining vital institutional functions. In this paper, we examine the economics of blockchain technologies as it pertains to transaction costs in startup financing. We draw upon the theory of transaction cost economics and the transactional nature of blockchain technology to propose a model to demonstrate how and why blockchain technology based applications are effective. We then apply the model to demonstrate how blockchain technology can be used to overcome many problems inherent in startup financing. For example, information asymmetry and transaction costs involved with matching an entrepreneur with an investor and the terms of the financing deal are some of the fundamental issues in entrepreneurial financing. We explain how a financing system based on blockchain technology can ameliorate the problems and lead to a more effective and decentralized entrepreneurial financing process.

Abderahman Rejeb, John G. Keogh, S. Zailani et al.

Blockchain technology has emerged as a promising technology with far-reaching implications for the food industry. The combination of immutability, enhanced visibility, transparency and data integrity provides numerous benefits that improve trust in extended food supply chains (FSCs). Blockchain can enhance traceability, enable more efficient recall and aids in risk reduction of counterfeits and other forms of illicit trade. Moreover, blockchain can enhance the integrity of credence claims such as sustainably sourced, organic or faith-based claims such as kosher or halal by integrating the authoritative source of the claim (e.g., the certification body or certification owner) into the blockchain to verify the claim integrity and reassure business customers and end consumers. Despite the promises and market hype, a comprehensive overview of the potential benefits and challenges of blockchain in FSCs is still missing. To bridge this knowledge gap, we present the findings from a systematic review and bibliometric analysis of sixty-one (61) journal articles and synthesize existing research. The main benefits of blockchain technology in FCSs are improved food traceability, enhanced collaboration, operational efficiencies and streamlined food trading processes. Potential challenges include technical, organizational and regulatory issues. We discuss the theoretical and practical implications of our research and present several ideas for future research.

Sudhakar Sengan, Chin-Shiuh Shieh, Mong-Fong Horng

Abstract Novel advances in healthcare-related Internet of Things (IoT) systems have recently had significant impacts on clinical decision-support systems (CDSS) and patient health monitoring. Securing networks using conventional cybersecurity models becomes increasingly challenging as the regularity of open-access networks increases, exposing critical attack regions. The research presented here recommends a hybrid model combining Blockchain (BC) and Intrusion Detection Systems (IDS) built on Deep Learning (DL) (Hybrid BC + DL Model) to address such problems. This method integrates Artificial Intelligence (AI) and distributed trust management (DTM) for providing healthcare-specific security across the entire system. The hypothetical model focuses primarily on a Deep Sparse Autoencoder (DSAE) that helps standardize and reduce all the different traffic generated by medical IoT devices into a small, discrete graphical representation. These embedded technologies were securely encrypted by applying multiple layers of authentication. The primary layer is a standard Bidirectional Long Short-Term Memory (BiLSTM) network that captures temporal dependencies within healthcare data. The next layer is a set of high-powered sensor networks that can detect Distributed Denial of Service (DDoS), Man-in-The-Middle (MiTM), and Brute-Force Attacks (BFA). The simulation test result is subsequently validated using a Bayesian Product-of-Experts (BPoE) method that incorporates contextual medical challenges into the analysis, applies temperature scaling during testing, and improves clinical implementation accuracy. Networks that integrate BC technology have fixed audit logs, Smart Contracts (SC) that automate access control, and Practical Byzantine Fault Tolerance (PBFT) consensus protocols, which permit the secure communication of attack data across the healthcare industry. The proposed model improves conventional benchmarks by 7.39–20.42% and SOTA (State-of-the-Art) by 1.00–7.19%, attaining accuracy scores of 96.73% and 93.58% on the IoT–Flock and the Canadian Institute for Cybersecurity Internet of Things 2023 (CICIoT2023) datasets. In both cases, the detection latency is less than 16 ms, demonstrating real-time feasibility in controlled experimental settings. When training and testing on distinct datasets, the average score ranges from 11.52 to 13.55%, indicating moderate generalization capability as measured by cross-dataset testing. DSAE-based Feature Extraction (FE) generated a 7.28% boost to accuracy, while the Bayesian Fusion Mechanism (BFM) resulted in around a 5.06% boost in accuracy. The outcome results of this study indicate that applying trained models to collected data resulted in a significant 9.39% improvement in accuracy. There was a 7.28% boost in accuracy when DSAE-based Feature Extraction (FE) was applied, 9.39% when algorithms that had been trained were used for collected data, and 5.06% when the Bayesian Fusion Mechanism (BFM) was implemented. The research findings have confirmed all these improvements. The analysis shows that the BC function has a Network Throughput (NT) of more than 698 Times Per Second (TPS), consensus delays of less than 468 ms, and validation success rates of more than 99.4%. Accuracy is maintained above 99.6%, and SC-based security measures are fully operational within 245 ms. The proposed model aims to secure the healthcare system (HCS) and prevent data loss from digital attacks.