https://reunir.unir.net/handle/123456789/12759 2024-10-28T00:53:21Z 2024-10-28T00:53:21Z Baldominos Gómez, Alejandro Mochón, Francisco https://reunir.unir.net/handle/123456789/12783 2022-04-01T08:12:58Z

Editor’s Note. Towards Blockchain Intelligence Baldominos Gómez, Alejandro; Mochón, Francisco In this special issue, we want to gather some innovative applications that are currently pushing forward the research on Blockchain technologies. In particular, we are interested also in those applications that put the focus on the data, enabling new processes that are able to leverage relevant knowledge from the data. This special issue will be successful if readers gain a better understanding on how Blockchain can be applied to very diverse areas, and might even be interested in designing, implementing and deploying an innovative solution to a completely different field of knowledge. We hope this Special Issue can provide a better understanding and key insights to readers on how Blockchain and artificial intelligence are cross-fertilizing to revolutionize many aspects in our societies. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-04-01T08:12:58Z No. of bitstreams: 1 ijimai_6_3_0.pdf: 602540 bytes, checksum: cf06c948841e77b6fd71225a7c1b83de (MD5); Made available in DSpace on 2022-04-01T08:12:58Z (GMT). No. of bitstreams: 1 ijimai_6_3_0.pdf: 602540 bytes, checksum: cf06c948841e77b6fd71225a7c1b83de (MD5)

García Sáez, M. Inmaculada https://reunir.unir.net/handle/123456789/12782 2022-04-01T07:59:45Z

Blockchain-Enabled Platforms: Challenges and Recommendations García Sáez, M. Inmaculada Not even a tenth of blockchain-enabled platforms survive their first anniversary. The volatility of cryptomarkets has brought negative attention and led some to question the applicability of blockchain technology. This paper argues that the challenges for startups and incumbents behind these platforms are numerous, and that the speculative bubble around cryptocurrencies is only one of them. Blockchain still needs to demonstrate fully its disruptive potential and so far, entrepreneurs have not managed to significantly impact incumbents’ market shares. This transitory period requires incumbents to let go of traditional control mechanisms, and startups to scale down their global decentralised hopes. Indeed, whilst the technology can indeed scale fast, starting in a controlled market and managing growth is a counterintuitive but essential strategy for blockchain-enabled platforms to implement. Given the diverging nature of the technology, at present at least, the combined shortage of skills in blockchain and security, and the trust blockchain is built on, rushing to the global market is high risk. Nonetheless, given the potential returns, the risk appetite is high and both entrepreneurs and corporate executives share unrealistic expectations about a technology they cannot fully understand since it has not yet converged. In light of the above, this article identifies the main challenges faced when building blockchainenabled platforms and provides recommendations for startups and incumbents to overcome these. In order to reach these conclusions, the information obtained from twenty semi-structured interviews with leading actors in the field has been fundamental. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-04-01T07:59:45Z No. of bitstreams: 1 ijimai_6_3_9_0.pdf: 941493 bytes, checksum: d38fa9842b639738ec58d30a2a7a4e0f (MD5); Made available in DSpace on 2022-04-01T07:59:45Z (GMT). No. of bitstreams: 1 ijimai_6_3_9_0.pdf: 941493 bytes, checksum: d38fa9842b639738ec58d30a2a7a4e0f (MD5)

Lopez, Miguel Angel Lombardo, Juan Manuel López, Mabel Álvarez, David Velasco, Susana Terrón, Sara https://reunir.unir.net/handle/123456789/12781 2022-04-01T07:55:33Z

Traceable Ecosystem and Strategic Framework for the Creation of an Integrated Pest Management System for Intensive Farming Lopez, Miguel Angel; Lombardo, Juan Manuel; López, Mabel; Álvarez, David; Velasco, Susana; Terrón, Sara The appearance of pests is one of the major problems that exist in the growth of crops, as they can damage the production if the appropriate measures are not taken. Within the framework of the Integrated Pest Management strategy (IPM), early detection of pests is an essential step in order to provide the most appropriate treatment and avoid losses. This paper proposes the architecture of a system intensive farming in greenhouses featuring the ability to detect environmental variations that may favour the appearance of pests. This system can suggest a plan or treatment that will help mitigate the effects that the identified pest would produce otherwise. Furthermore, the system will learn from the actions carried out by the humans throughout the different stages of crop growing and will add it as knowledge for the prediction of future actions. The data collected from sensors, through computer vision, or the experiences provided by the experts, along with the historical data related to the crop, will allow for the development of a model that contrasts the predictions of the actions that could be implemented with those already performed by technicians. Within the technological ecosystems in which the Integrated Pest Management systems develop their action, traceability models must be incorporated. This will guarantee that the data used for the exploitation of the information and, therefore for the parameterization of the predictive models, are adequate. Thus, the integration of blockchain technologies is considered key to provide them with security and confidence. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-04-01T07:55:33Z No. of bitstreams: 1 ijimai_6_3_6.pdf: 1120024 bytes, checksum: 0861caab5862d06336738d0136b9b5c8 (MD5); Made available in DSpace on 2022-04-01T07:55:33Z (GMT). No. of bitstreams: 1 ijimai_6_3_6.pdf: 1120024 bytes, checksum: 0861caab5862d06336738d0136b9b5c8 (MD5)

Lopez, Miguel Angel Lombardo, Juan Manuel López, Mabel Alba, Carmen María Velasco, Susana Braojos, Manuel Alonso Fuentes-García, Marta https://reunir.unir.net/handle/123456789/12780 2022-04-01T07:44:29Z

Intelligent Detection and Recovery from Cyberattacks for Small and Medium-Sized Enterprises Lopez, Miguel Angel; Lombardo, Juan Manuel; López, Mabel; Alba, Carmen María; Velasco, Susana; Braojos, Manuel Alonso; Fuentes-García, Marta Cyberattacks threaten continuously computer security in companies. These attacks evolve everyday, being more and more sophisticated and robust. In addition, they take advantage of security breaches in organizations and companies, both public and private. Small and Medium-sized Enterprises (SME), due to their structure and economic characteristics, are particularly damaged when a cyberattack takes place. Although organizations and companies put lots of efforts in implementing security solutions, they are not always effective. This is specially relevant for SMEs, which do not have enough economic resources to introduce such solutions. Thus, there is a need of providing SMEs with affordable, intelligent security systems with the ability of detecting and recovering from the most detrimental attacks. In this paper, we propose an intelligent cybersecurity platform, which has been designed with the objective of helping SMEs to make their systems and network more secure. The aim of this platform is to provide a solution optimizing detection and recovery from attacks. To do this, we propose the application of proactive security techniques in combination with both Machine Learning (ML) and blockchain. Our proposal is enclosed in the IASEC project, which allows providing security in each of the phases of an attack. Like this, we help SMEs in prevention, avoiding systems and network from being attacked; detection, identifying when there is something potentially harmful for the systems; containment, trying to stop the effects of an attack; and response, helping to recover the systems to a normal state. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-04-01T07:44:29Z No. of bitstreams: 1 ijimai_6_3_7.pdf: 1126197 bytes, checksum: 374045403446b2cd93a125c9b7731874 (MD5); Made available in DSpace on 2022-04-01T07:44:29Z (GMT). No. of bitstreams: 1 ijimai_6_3_7.pdf: 1126197 bytes, checksum: 374045403446b2cd93a125c9b7731874 (MD5)

El Ghazouani, Mohamed El kiram, My Ahmed Latifa, ER-RAJY El Khanboubi, Yassine https://reunir.unir.net/handle/123456789/12779 2022-04-01T07:33:14Z

Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud El Ghazouani, Mohamed; El kiram, My Ahmed; Latifa, ER-RAJY; El Khanboubi, Yassine With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data storage efficiency. Although cloud technology offers many advantages for storage service, it also introduces security challenges, especially with regards to data integrity, which is one of the most critical elements in any system. A data owner should thus enable data integrity auditing mechanisms. Much research has recently been undertaken to deal with these issues. In this paper, we propose a novel blockchain-based method, which can preserve cloud data integrity checking with data deduplication. In our method, a mediator performs data deduplication on the client side, which permits a reduction in the amount of outsourced data and a decrease in the computation time and the bandwidth used between the enterprise and the cloud service provider. This method supports private and public auditability. Our method also ensures the confidentiality of a client's data against auditors during the auditing process. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-04-01T07:33:14Z No. of bitstreams: 1 ijimai_6_3_4.pdf: 1512817 bytes, checksum: 6c6412d5010d5d959b75a218d8c2c4f3 (MD5); Made available in DSpace on 2022-04-01T07:33:14Z (GMT). No. of bitstreams: 1 ijimai_6_3_4.pdf: 1512817 bytes, checksum: 6c6412d5010d5d959b75a218d8c2c4f3 (MD5)

Triana Casallas, Jenny Alexandra Cueva-Lovelle, Juan Manuel Rodríguez Molano, José Ignacio https://reunir.unir.net/handle/123456789/12777 2022-03-31T12:31:30Z

Smart Contracts with Blockchain in the Public Sector Triana Casallas, Jenny Alexandra; Cueva-Lovelle, Juan Manuel; Rodríguez Molano, José Ignacio The appearance of so-called block chains or Blockchain with the promise of transforming trust and the way value is exchanged, joins the expansion of the technological capabilities of organizations to achieve higher levels of productivity and innovation. This is how Blockchain-based techniques are being applied to many fields, focusing in this article on the public sector, as a possible solution to the demands for transparency, participation and citizen cooperation that society demands; due to the possibility of disintermediation based on automated transactions and on the responsibility and security in the management of official blockchain records. This could obstruct corruption and make government services more transparent and efficient. Although, it investigates about applications in the public sector under the Blockchain system, such as transactions, agreements, property registries and innovations, developments and other assets; Special emphasis is placed on the possibility of implementing Smart Contracts (mechanisms that aim to eliminate intermediaries to simplify processes) in public procurement procedures, given that it is in this type of activity where high levels of corruption are generated. It is concluded then that Europe has the largest number of blockchain initiatives worldwide, while Latin America, except for the case of Peru, lacks this type of applications, being this continent exactly where there are the countries with the highest levels of corruption. It concludes with a recommendation to use blockchain along with smart contracts through platforms such as Ethereum or Lisk, mainly given its flexibility and current development on topics with similar functionalities. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-03-31T12:31:30Z No. of bitstreams: 1 ijimai_6_3_8.pdf: 881822 bytes, checksum: 45fc900fa9d5b9959ed57b1094cf0f6f (MD5); Made available in DSpace on 2022-03-31T12:31:30Z (GMT). No. of bitstreams: 1 ijimai_6_3_8.pdf: 881822 bytes, checksum: 45fc900fa9d5b9959ed57b1094cf0f6f (MD5)

Jennath, H. S. Anoop, V S Asharaf, S https://reunir.unir.net/handle/123456789/12763 2022-03-30T10:09:51Z

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence Jennath, H. S.; Anoop, V S; Asharaf, S Advances in information technology are digitizing the healthcare domain with the aim of improved medical services, diagnostics, continuous monitoring using wearables, etc., at reduced costs. This digitization improves the ease of computation, storage and access of medical records which enables better treatment experiences for patients. However, it comes with a risk of cyber attacks and security and privacy concerns on this digital data. In this work, we propose a Blockchain based solution for healthcare records to address the security and privacy concerns which are currently not present in existing e-Health systems. This work also explores the potential of building trusted Artificial Intelligence models over Blockchain in e-Health, where a transparent platform for consent-based data sharing is designed. Provenance of the consent of individuals and traceability of data sources used for building and training the AI model is captured in an immutable distributed data store. The audit trail of the data access captured using Blockchain provides the data owner to understand the exposure of the data. It also helps the user to understand the revenue models that could be built on top of this framework for commercial data sharing to build trusted AI models. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-03-30T10:09:51Z No. of bitstreams: 1 ijimai_6_3_2.pdf: 897690 bytes, checksum: 94df0f314329e49d43e51a06d8407c92 (MD5); Made available in DSpace on 2022-03-30T10:09:51Z (GMT). No. of bitstreams: 1 ijimai_6_3_2.pdf: 897690 bytes, checksum: 94df0f314329e49d43e51a06d8407c92 (MD5)

Jurado, Francisco Delgado, Oscar Ortigosa, Álvaro https://reunir.unir.net/handle/123456789/12762 2022-03-30T09:45:47Z

Tracking News Stories Using Blockchain to Guarantee their Traceability and Information Analysis Jurado, Francisco; Delgado, Oscar; Ortigosa, Álvaro Nowadays, having a mechanism to guarantee the traceability of the information and to monitor the evolution of the news from its origin, and having elements to know the reputation and credibility of the media, analyze the news as well as its evolution and possible manipulation, etc. is becoming increasingly significant. Transparency in journalism is currently a key element in performing serious and rigorous journalism. End-users and fact-checking agencies need to be able to check and verify the information published in different media. This transparency principle enables the tracking of news stories and allows direct access to the source of essential content to contrast the information it contains and to know whether it has been manipulated. Additionally, the traceability of news constitutes another instrument in the fight against the lack of credibility, the manipulation of information, misinformation campaigns and the propagation of fake news. This article aims to show how to use Blockchain to facilitate the tracking and traceability of news so that it can provide support to the automatic indexing and extraction of relevant information from newspaper articles to facilitate the monitoring of the news story and allows users to verify the veracity of what they are reading. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-03-30T09:45:47Z No. of bitstreams: 1 ijimai_6_3_5.pdf: 1192296 bytes, checksum: c9b57310b6c1319658160073c28c039b (MD5); Made available in DSpace on 2022-03-30T09:45:47Z (GMT). No. of bitstreams: 1 ijimai_6_3_5.pdf: 1192296 bytes, checksum: c9b57310b6c1319658160073c28c039b (MD5)

Baldominos Gómez, Alejandro López-Sánchez, J. L. Acevedo-Aguilar, M. https://reunir.unir.net/handle/123456789/12761 2022-03-30T09:40:34Z

Blockverse: A Cloud Blockchain-based Platform for Tracking in Affiliate Systems Baldominos Gómez, Alejandro; López-Sánchez, J. L.; Acevedo-Aguilar, M. Affiliate systems are a crucial piece of today’s online advertising. In affiliate systems, web traffic is directed from certain sites displaying ads to the websites of those company whose products or services are advertised. The way in which these ads are monetized is diverse and can respond to different models. In many cases, affiliates establish a cost based on impressions (displays of the ad) or on clicks. However, more intricate models are becoming widespread, such as the cost per action, where the affiliate incomes are due to the users performing certain actions in the target website. In particular, in the world of iGaming, it is frequent that affiliates charges are based on registrations, deposits or money lost on bets. In this scenario, Blockverse is a tool whose objective is to record transactions occurring in affiliate systems at large scale, using a permissioned blockchain implemented atop state-of-the-art cloud technology. Additionally, the system will be able to execute smart deals that generate income for affiliates based on the agreed conditions, and to provide real-time analytics in the context of the affiliate system. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-03-30T09:40:34Z No. of bitstreams: 1 ijimai_6_3_3.pdf: 1247230 bytes, checksum: ebfcf1ff751be66d4c81cdd1a227531d (MD5); Made available in DSpace on 2022-03-30T09:40:34Z (GMT). No. of bitstreams: 1 ijimai_6_3_3.pdf: 1247230 bytes, checksum: ebfcf1ff751be66d4c81cdd1a227531d (MD5)

Arjun, R Suprabha, K R https://reunir.unir.net/handle/123456789/12760 2022-03-30T09:24:44Z

Innovation and Challenges of Blockchain in Banking: A Scientometric View Arjun, R; Suprabha, K R Blockchain has been gaining focus in research and development for diverse industries in recent years. Nevertheless, innovations that impact to the banking nurture a potential for disruptive impact globally for economic reasons; however it has received less scholarly attention. Hence the effect of blockchain technologies on banking industry is systematically reviewed. The relevant literature is extracted from Scopus, Web of Science and bibliometric techniques are applied. While a bulk of earlier papers focuses only on bit coins, a broader framework is envisaged that synthesizes interdisciplinary thematic areas for advancement; hence novelty in current work. A few practical and theoretical implications for stakeholders in view of technology, law and management are discussed. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2022-03-30T09:24:44Z No. of bitstreams: 1 ijimai_6_3_1.pdf: 1058825 bytes, checksum: 4d30739e16aa26da9722d9b2b738e812 (MD5); Made available in DSpace on 2022-03-30T09:24:44Z (GMT). No. of bitstreams: 1 ijimai_6_3_1.pdf: 1058825 bytes, checksum: 4d30739e16aa26da9722d9b2b738e812 (MD5)