Food supply chain stakeholders' perspectives on sharing information to detect and prevent food integrity issues

One of the biggest challenges facing the food industry is assuring food integrity. Dealing with complex food integrity issues requires a multi-dimensional approach. Preventive actions and early reactive responses are key for the food supply chain. Information sharing could facilitate the detection and prevention of food integrity issues. This study investigates attitudes towards a food integrity information sharing system (FI-ISS) among stakeholders in the European food supply chain. Insights into stakeholders' interest in participating and their conditions for joining an FI-ISS are assessed. The stakeholder consultation consisted of three rounds. During the first round, a total of 143 food industry stakeholders-covering all major food sectors susceptible to food integrity issues-participated in an online quantitative survey between November 2017 and February 2018. The second round, an online qualitative feedback survey in which the findings were presented, received feedback from 61 stakeholders from the food industry, food safety authorities and the science community. Finally, 37 stakeholders discussed the results in further detail during an interactive workshop in May 2018. Three distinct groups of industry stakeholders were identified based on reported frequency of occurrence and likelihood of detecting food integrity issues. Food industry stakeholders strongly support the concept of an FI-ISS, with an attitude score of 4.49 (standard deviation (S. D.) = 0.57) on a 5-point scale, and their willingness to participate is accordingly high (81%). Consensus exists regarding the advantages an FI-ISS can yield towards detection and prevention. A stakeholder's perception of the advantages was identified as a predictor of their intention to join an FI-ISS, while their perception of the disadvantages and the perceived risk of food integrity issues were not. Medium-sized companies perceive the current detection of food integrity issues as less likely compared to smaller and large companies. Interestingly, medium-sized companies also have lower intentions to join an FI-ISS. Four key success factors for an FI-ISS are defined, more specifically with regards to (1) the actors to be involved in a system, (2) the information to be shared, (3) the third party to manage the FI-ISS and (4) the role of food safety authorities. Reactions diverged concerning the required level of transparency, the type of data that stakeholders might be willing to share in an FI-ISS and the role authorities can have within an FI-ISS

Blood Management System Using Blockchain

Blood is a crucial constituent within the human body that is irreplaceable for human life, it supplies supplements and oxygen to all the cells, due to this fundamental part, the requirement for a decentralized blood bank has been introduced in this paper. Manual frameworks as compared to computerized frameworks are time-consuming, exorbitant, and may regularly contain human errors. Moreover, they are helpless to the single point of disappointment issue due to centralization and may lack privacy and security features. This research paper explores the usage of a blood management system based on blockchain technology. The current blood management systems confront challenges such as donor-recipient anonymity, traceability, and straightforwardness. These issues can be tended to by utilizing blockchain, which gives a decentralized and secure database for data administration. The suggested system makes use of blockchain to handle and preserve data from blood banks, such as donor details, blood type, and availability.

A Model-driven Approach for the Description of Blockchain Business Networks

The concept of blockchain technology has gained significant momentum in practice and research in the past few years, as it provides an effective way for addressing the issues of anonymity and traceability in distributed scenarios with multiple parties, which have to exchange information and want to securely collaborate with each other. However, up-to-date, the impact of the structure and setup of business networks on successfully applying blockchain technology, remains largely unexplored. We propose a model-driven approach, combining an ontology and a layer model, that is capable of capturing the properties of existing blockchain-driven business networks. The layers are used to facilitate the comprehensive description of such networks. We also introduce the Blockchain Business Network Ontology (BBO), formalizing the concepts and properties for describing the integral parts of a blockchain network. We show the practical applicability of our work by evaluating and applying it to an available blockchain use case

A Value-sensitive Design Perspective of Cryptocurrencies: A Research Agenda

Cryptocurrencies and their underlying blockchain technology have begun to transform numerous industries. Although we have seen an uptrend in the types of created cryptocurrencies, it has not yet translated into mainstream adoption., In this paper, we use value-sensitive design principles to identify values among current and potential cryptocurrency adopters. Using Bitcoin as the context for this qualitative research study, we use grounded theory analytical techniques to discover manifested values among users and non-users. We develop a cryptocurrency value-sensitive design framework to summarize our results. As our main contribution, we offer a research agenda based on the cryptocurrency stakeholders’ underlying value system. This agenda can help information systems scholars apply this value-sensitive design perspective to their own cryptocurrency research

BMSQABSE: Design of a Bioinspired Model to Improve Security & QoS Performance for Blockchain-Powered Attribute-based Searchable Encryption Applications

Attribute-based searchable encryption (ABSE) is a sub-field of security models that allow intensive searching capabilities for cloud-based shared storage applications. ABSE Models require higher computational power, which limits their application to high-performance computing devices. Moreover, ABSE uses linear secret sharing scheme (LSSS), which requires larger storage when compared with traditional encryption models. To reduce computational complexity, and optimize storage cost, various researchers have proposed use of Machine Learning Models (MLMs), that assist in identification & removal of storage & computational redundancies. But most of these models use static reconfiguration, thus cannot be applied to large-scale deployments. To overcome this limitation, a novel combination of Grey Wolf Optimization (GWO) with Particle Swarm Optimization (PSO) model to improve Security & QoS performance for Blockchain-powered Attribute-based Searchable Encryption deployments is proposed in this text. The proposed model augments ABSE parameters to reduce its complexity and improve QoS performance under different real-time user request scenarios. It intelligently selects cyclic source groups with prime order & generator values to create bilinear maps that are used for ABSE operations. The PSO Model assists in generation of initial cyclic population, and verifies its security levels, QoS levels, and deployment costs under multiple real-time cloud scenarios. Based on this initial analysis, the GWO Model continuously tunes ABSE parameters in order to achieve better QoS & security performance levels via stochastic operations. The proposed BMSQABSE model was tested under different cloud configurations, and its performance was evaluated for healthcare deployments. Based on this evaluation, it was observed that the proposed model achieved 8.3% lower delay, with 4.9% lower energy consumption, 14.5% lower storage requirements when compared with standard ABSE models. It was able to mitigate Distributed Denial of Service (DDoS), Masquerading, Finney, and Sybil attacks, which assists in deploying the proposed model for QoS-aware highly secure deployments

Analysis of web3 solution development principles

In the master's thesis, we researched the principles of Web3 solution development. We studied the blockchain and blockchain-related technology, development of the Web including all versions of the Web and the differences between them. We presented the popular technologies for Web3 development and the most common Web3 solutions with examples. With help of systematic literature review we explored the state-of-art technologies for Web3 solution development and proposed a full-stack for Web3. In the final part we implemented a proof-of-concept Ethereum decentralized application and compared it with equivalent concept of Web2 application. We proposed future work of researching other popular blockchain protocols like Solana or Polygon