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791 results · page 8 of 33
Eshbayev Oybek, Abidova Dilfuza, Diyora Usmonova, Matkarimova Gulchekhra Abdusamatovna · 5 authors
No abstract is available for this record.
Mallellu Sai Prashanth, Ramesh Karnati, Muni Sekhar Velpuru, Harsha Reddy
No abstract is available for this record.
Odunayo Mercy Babatope, Omodolapo Eunice Ogunsola, Micheal Ayorinde Adenuga, Anthonette Adanyin · 5 authors
Over the past decade, decentralized applications (dApps) have emerged as a disruptive force, reshaping the landscape of digital innovation and redefining traditional paradigms of application development and deployment. This review explores the progression, challenges, and future prospects of dApps, providing insights into their evolution and impact on various industries. The decade in review reflects a remarkable journey of dApps, from their nascent stages to becoming a cornerstone of the decentralized ecosystem. Initially rooted in the blockchain revolution ignited by Bitcoin's emergence, dApps have evolved beyond cryptocurrency applications to encompass a wide array of use cases across finance, supply chain management, healthcare, governance, and beyond. This review delves into the key milestones and advancements that have propelled the growth of dApps, highlighting their transformative potential in enabling transparent, secure, and trustless interactions in decentralized environments. However, alongside their progression, dApps have encountered significant challenges that have shaped their trajectory and adoption. Scalability, interoperability, regulatory compliance, data privacy, and security concerns have posed formidable obstacles to their widespread adoption and usability. This review provides a nuanced understanding of these challenges and their implications for the future development and adoption of dApps, underscoring the need for innovative solutions and collaborative efforts to address these hurdles. Looking ahead, the future of dApps holds immense promise and opportunity. Emerging technologies such as blockchain scalability solutions, interoperability protocols, privacy-preserving techniques, and decentralized finance (DeFi) are poised to drive the next wave of innovation in the dApp ecosystem. Moreover, advancements in artificial intelligence, Internet of Things, and decentralized governance models are expected to further enhance the functionality, usability, and impact of dApps across industries and domains. In conclusion, as we reflect on the past decade of dApp development and evolution, it is evident that dApps have transitioned from experimental prototypes to disruptive technologies with profound implications for the future of digital innovation. By addressing key challenges and embracing emerging opportunities, the dAppecosystem is poised to continue its upward trajectory, ushering in a new era of decentralized, transparent, and inclusive digital applications.
G. Sylos Labini, Cristoforo Abbattista, Vito Fortunato, Leonardo Amoruso · 6 authors
No abstract is available for this record.
Mohammed Fadhil, Parman Sukarno, Aulia Arif Wardana
No abstract is available for this record.
T. Haritha, A. Anitha
No abstract is available for this record.
Khandaker Nazmun Naher, Tanvir Ahammad, Nasrin Sultana, Saha Reno
No abstract is available for this record.
Hikaru Tomita, Hiroshi Yamamoto, Daiki Nobayashi, Takeshi Ikenaga · 5 authors
No abstract is available for this record.
Michael Lustenberger, Sabrina Wollenschläger, Lukas Küng
This paper explores the promise of decentralized autonomous organizations (DAOs) as a digital governance tool for collaborative housing initiatives. Based on existing literature around the collaborative housing initiative no1s1, we explore the research question: How can DAOs help govern collaborative housing initiatives? To address this, we employ conceptual research methods, synthesizing theories from the field of collaborative housing and DAOs to propose a new framework for the governance of such initiatives. Our analysis identifies five key benefits of DAOs in collaborative housing governance: a transparent crypto-accounting system, scalable decision-making, global jurisdiction and rule enforcement, automated rights and incentives system, and flexible polycentric governance. These benefits align with Elinor Ostrom’s “Governing the Commons” principles and highlight the potential of DAOs to enable scalability and autonomy in geographically dispersed communities. While theoretical, our study provides insights into the transformative potential of blockchain-based DAOs in collaborative housing governance, laying the groundwork for further research and real-world and empirical validation.
Saksham Goel, Sarvesh V. Sawant, Bhawana Rudra
No abstract is available for this record.
Valeriia Balatska, Vasyl Рoberezhnyk, Іvan Оpirskyy
In today’s world, where digital technologies play an increasingly important role in various aspects of life, protecting data and ensuring its confidentiality and integrity is becoming an increasingly urgent task. This problem is especially important in the context of state registers, which contain a large volume of valuable information about citizens, businesses and other entities. Delimiting access to public registers is a key task for ensuring security, transparency and efficiency of data management in government bodies. In this context, the use of Non-Fungible Tokens (NFT) and blockchain technology can be a promising solution. This article examines the possibilities of using NFTs and blockchain to delimit access to public registries in Ukraine. This paper defines key concepts such as NFT, blockchain, identification, authentication, and access control and examines their possible applications for delimiting access to public registries. It also describes how the use of blockchain and NFT technologies can be a key solution for ensuring the security and efficiency of public registry management. Blockchain, as a distributed database, provides reliable storage of transaction history and impenetrable encryption of data. Each block in the chain has a unique hash that links it to the previous block, making any attempt to change the data in the blocks nearly impossible without detection. On the other hand, Non-Fungible Tokens (NFT) can serve as unique digital identifiers that define access rights to specific data in public registries. Each NFT contains a unique digital signature that confirms its ownership and characteristics, and can be used to precisely define access rights to specific data or resources. Together, these technologies can create a reliable and secure infrastructure for managing public registries, ensuring transparency, privacy and irreversibility of transactions.
Nebojša Horvat, Dušan Gajić, Petar Trifunović, Veljko Petrović · 6 authors
Distributed ledger technology (DLT) and blockchain-based energy trading solutions are often labeled as resource-hungry, excessive power consumers which consequently create a significant carbon footprint. Using this approach to energy trading, without simultaneously minimizing energy consumption, defeats the purpose of using such trading solutions to encourage renewable energy production and may even cancel out any ecological benefits. This paper demonstrates that it is possible to create a DLT-based energy trading system which provides security, transparency, autonomy, scalability, and decentralization, provided by using a DLT, but with significantly lower penalties than other previously known solutions. This is best illustrated through the fact that the carbon footprint per transaction of the solution presented in this paper is 0.19 grams of$CO_{2}$compared to 20 grams of$CO_{2}$created by single transaction of similar complexity on the Ethereum blockchain. This makes per-transaction carbon footprint of our system approximate 100 times smaller than that of the most commonly used Ethereum blockchain. We present the architecture and features of the proposed platform, as well as a thorough analysis of its performance, including power consumption and estimated carbon footprint. All experiments are done on a dedicated Beowulf cluster comprised of general-purpose computers. The cluster mimics a microgrid environment and presents a testing ground for real-world performance and power consumption analysis of a system used for trading energy predominantly produced from prosumers and their renewable sources.
Yi-Jen Su, Chao-Ho Chen, Tsong-Yi Chen, Chun-Wei Yeah
The main causes for the risks of used-car trading lie in the information asymmetry between buyers and sellers and the absence of a trust mechanism. This study proposed applying the Ethereum blockchain and InterPlanetary File System (IPFS) to construct a used-car trading and management information system that supports decentralized data storage services. This mechanism could support the permanent storage, immutability, and traceability of car maintenance data through the operation of smart contracts. Furthermore, car information is stored and managed by IPFS. Slither monitors the security of this system by detecting security bugs in the operation of smart contracts.
Mingzhu Yu, Xinni Tan, Jihong Chen
No abstract is available for this record.
Hamed Taherdoost, Mitra Madanchian
Blockchain technology has become a powerful disruptive force that upends established ideas in several industries. A fascinating point of convergence is that of blockchain technology and Business Process Management (BPM), where the distributed and immutable characteristics of blockchain promise to completely transform the modeling, implementation, and oversight of business processes. This symbiosis offers a singular chance to develop corporate processes that are more efficient, safe, and transparent. Nevertheless, to guarantee that blockchain-specific components are accurately represented in these processes, modeling techniques need to be critically examined as part of integrating blockchain into BPM. This literature review examines blockchain-BPM integration using different modeling methodologies. Though well-established, traditional BPM approaches may need help with blockchain-specific aspects. Blockchain-oriented modeling includes smart contracts and decentralized consensus. Hybrid models with blockchain and traditional elements are popular. Adaptability, model clarity, and blockchain integration are evaluated in the analysis. This literature review aims to improve corporate processes’ efficiency, security, and transparency by investigating how to model the integration of blockchain and BPM better.
Rabia Khan, Amjad Mehmood, Carsten Maple, Kevin Curran · 5 authors
Strategic investment(s) in vehicle automation technologies led to the rapid development of technology that revolutionised transport services and reduced fatalities on a scale never seen before. Technological advancements and their integration in Connected Autonomous Vehicles (CAVs) increased uptake and adoption and pushed firmly for the development of highly supportive legal and regulatory and testing environments. However, systemic threats to the security and privacy of technologies and lack of data transparency have created a dynamic threat landscape within which the establishment and verification of security and privacy requirements proved to be an arduous task. In CAVs security and privacy issues can affect the resilience of these systems and hinder the safety of the passengers. Existing research efforts have been placed to investigate the security issues in CAVs and propose solutions across the whole spectrum of cyber resilience. This paper examines the state-of-the-art in security and privacy solutions for CAVs. It investigates their integration challenges, drawbacks and efficiencies when coupled with distributed technologies such as Blockchain. It has also listed different cyber-attacks being investigated while designing security and privacy mechanism for CAVs.
Huigang Chang, Yiming Liu, Zhengguo Sheng
The collaborative path planning and scheduling can overcome the limitations of single vehicle intelligence to obtain a globally optimal decision strategy in cognitive internet of vehicles (CIoVs). The collaboration of vehicles necessitates the exchange of environmental and decision information, generating massive collaborative computing tasks with strict latency requirements. Leveraging mobile edge computing (MEC) technology, computing tasks can be processed near the vehicles to reduce latency. However, traffic congestion and computational load imbalance seriously affect traffic efficiency and computational latency. In hybrid driving scenarios, it is challenging to fulfill the diverse service requirements of vehicles with different intelligence levels. Moreover, non-collaborative tend to result in traffic congestion due to vehicle aggregation effects, while centralized solutions lack flexibility and have high computational complexity. To address these concerns, a distributed multi-agent reinforcement learning (DMARL) algorithm is proposed for collaborative path planning and scheduling in a blockchain-based collaboration framework. In this framework, we model the communication, traffic situation and task processing of the system and formulate a joint optimization problem to minimize both travel time and computation latency. Last, we convert the scheduling problem for different types of vehicles into Markov decision processes (MDPs) and propose Q-learning-based DMARL algorithm to achieve proactive load balancing of both road infrastructures and MEC nodes (MECNs). Simulation results demonstrate that the proposed approach outperforms the comparison schemes in terms of load balance indexes of roads and MECNs, travel time, and computation latency.
Md Moniruzzaman, Abdulsalam Yassine, M. Shamim Hossain
Next-generation consumer electronics and electric vehicle (EV) energy charging technology promise transformative advancements in the automotive industry. One of the main challenges that hinders consumers’ experience is range anxiety particularly relevant in locales where the installation of fixed charging stations (FCSs) is beset by logistical hurdles, notably in rural regions. With the advancement of consumer electronics especially in the design of Mobile Charging Stations (MCSs), EV drivers can now access these MCSs to exchange energy. However, concerns regarding data security and the best strategies to select an MCS to trade energy may negatively impact consumer experiences. This paper delves into the conception of intelligent remedies by proposing the integration of reinforcement learning and blockchain technology to empower EV drivers to access and securely exchange energy with MCSs. We design a Proof of MCSs (PoMCS) as a consensus protocol to select the winning MCSs as block miners in the blockchain. The results of our experiment show that the average gain for the MCSs increases when using the proposed model and therefore inclined to serve more EVs.
Bokolo Anthony
Presently, majority of car-pooling services depend on a central third party which makes these platforms susceptible to data privacy, security concerns, and a single point of failure. Moreover, drivers and passengers are charged with different services fees by the electric mobility service provider. The emergence of emerging technologies such as Distributed Ledger Technologies (DLT) can foster trust, boost electric car-pooling business models. Hence, DLT is utilized to store electric car-pooling trips, drivers, and passengers’ information to ensure user privacy and maintain security. Similarly, social practice theories such as Community of Practice (CoP) is progressively considered as a significant structure within societies as it aids the development and sharing of resources across groups. But very little attention has been devoted to examined how CoP can be employed to support the design of decentralized on-demand electric car-pooling. Leveraging CoP and DLT, this paper proposes a decentralized community of practice-based model that enables drivers to publish electric car-pooling services and passengers to be matched to a driver without depending on a trusted third party. A systematic literature review was adopted to collect data and a case study of a decentralized on-demand electric car-pooling was presented. Findings from this study highlights conceptualization of CoP for improving decentralized on-demand electric car-pooling and provide insights on efficient decentralized mechanisms for electric car-pooling. Theoretically, this article identifies the current problems, state-of-the-art of decentralized electric car-pooling. For policy implications this study provides guidelines to effectively govern and manage the development of on-demand electric car-pooling for sustainable public transportation.
Anirudh P. Singh, Dhyanendra Jain, Prashant Vats, Daksh Chaudhary · 6 authors
A decentralized network of nodes (miners) is used by blockchain technology, which is made up of blocks. There are three components to each block: data, hash, and prior block’s hash. It is exceedingly difficult to modify data once it has been saved in order to temper the data. By computing the transaction’s hash function, miners can validate the transaction and earn a small commission. This review paper will provide readers a thorough grasp of blockchain technology and how it may be applied across a wide range of sectors, including finance, healthcare, supply chains, and many more. Prior to recently, Bitcoin was one of the most well-known blockchain applications that the general public was familiar with. We will examine some of these research articles and discuss the difficulties encountered in the implementation of these applications as several research papers regarding the novel uses of this technology have been published. Blockchain is a rapidly expanding field of worlds with more recent applications in a variety of industries, including the usage of cryptocurrencies, hospital administration, and other disciplines. These applications are only made feasible by the way blockchain functions and operates.
Lili Fan, Changxian Zeng, Zonglin Meng, Xin Xia · 7 authors
This letter discusses the security considerations of cross-space collaborative perception based on Decentralized Autonomous Organizations (DAOs). It explores the inter-space collaborative perception in three spaces, namely the vehicles' configuration space, social society space, and cyberspace. A DAO-based cross-space collaborative perception system also enables data generation and interaction among these spaces. The letter addresses the security and privacy protection of the interaction data and the challenges of cross-regional cooperation caused by the privatization and centralization of data interaction protocols in the collaborative perception process. The letter analyzes the causes of these issues and explores a DAO-based cross-space collaborative perception system. By combining DAOs with the collaborative perception system, the safety, efficiency, and sustainability of intelligent vehicles can be improved, which is of significant importance for the autonomous management capability of intelligent transportation systems.
Chuyi Liu, Jianxiong Wan, Leixiao Li, Bingbing Yao
Sharding technology, which divides a network into multiple disjoint groups so that transactions can be processed in parallel, is applied to blockchain systems as a promising solution to improve Transactions Per Second (TPS). This paper considers the Optimal Blockchain Sharding (OBCS) problem as a Markov Decision Process (MDP) where the decision variables are the number of shards, block size and block interval. Previous works solved the OBCS problem via Deep Reinforcement Learning (DRL)-based methods, where the action space must be discretized to increase processability. However, the discretization degrades the quality of the solution since the optimal solution usually lies between discrete values. In this paper, we treat the block size and block interval as continuous decision variables and provide dynamic sharding strategies based on them. The Branching Dueling Q-Network Blockchain Sharding (BDQBS) algorithm is designed for discrete action spaces. Compared with traditional DRL algorithms, the BDQBS overcomes the drawbacks of high action space dimensions and difficulty in training neural networks. And it improves the performance of the blockchain system by 1.25 times. We also propose a sharding control algorithm based on the Parameterized Deep Q-Networks (P-DQN) algorithm, i.e., the Parameterized Deep Q-Networks Blockchain Sharding (P-DQNBS) algorithm, to efficiently handle the discrete–continuous hybrid action space without the scalability issues. Also, the method can effectively improve the TPS by up to 28%.
Nnamdi Nwulu, Uyikumhe Damisa
In this chapter, a smart contract is conceptualised to facilitate the sharing of electric vehicle charging stations. Different tests performed on its logic will help to determine its accuracy. While the contract shows potential, further work needs to be done to make it useful in a practical setting.
Mohamed A. Abo-Soliman, Eman shaaban, Mirvat Al-Qutt, Karim Emara
The use of distributed ledger technology for industrial IoT devices is increasing recently to ensure network security and data protection. Factories and manufacturing plants inclined lately to deploy both Industrial IoT and DLT applications in order to enable autonomous secure operations. IoT helps in simplifying business processes, improving user’s experience and leading to better cost efficiencies, while DLT ensures security, transparency and trust. DLT-based IoT supports secure automation for industrial systems and fosters transformation into the industry 4 age. However, DLT still faces several challenges such as scalability, high cost and security. Moreover, there is no clear understanding about DLT-IoT architecture by a wide range of the industrial community. This work introduces DLT as a major key component of industrial IoT systems that benefits the industry with high level of protection and trust. It also surveys different DLT consensus with regard to industry in order to construct a comparative analysis between the most common algorithms. The study concludes by a selection criteria chart for building integrated DLT-IoT solution suitable for different types of businesses.