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Low-speed internet can negatively impact incident response by causing delayed detection, ineffective response, poor collaboration, inaccurate analysis, and increased risk. Slow internet speeds can delay the receipt and analysis of data, making it difficult for security teams to access the relevant information and take action, leading to a fragmented and inadequate response. All of these factors can increase the risk of data breaches and other security incidents and their impact on IoT-enabled communication. This study combines virtual network function (VNF) technology with software -defined networking (SDN) called virtual network function software-defined networking (VNFSDN). The adoption of the VNFSDN approach has the potential to enhance network security and efficiency while reducing the risk of cyberattacks. This approach supports IoT devices that can analyze large volumes of data in real time. The proposed VNFSDN can dynamically adapt to changing security requirements and network conditions for IoT devices. VNFSDN uses threat filtration and threat-capturing and decision-driven algorithms to minimize cyber risks for IoT devices and enhance network performance. Additionally, the integrity of IoT devices is safeguarded by addressing the three risk categories of data manipulation, insertion, and deletion. Furthermore, the prioritized delegated proof of stake (PDPoS) consensus variant is integrated with VNFSDN to combat attacks. This variant addresses the scalability issue of blockchain technology by providing a safe and adaptable environment for IoT devices that can quickly be scaled up and down to pull together the changing demands of the organization, allowing IoT devices to efficiently utilize resources. The PDPoS variant provides flexibility to IoT devices to proactively respond to potential security threats, preventing or mitigating the impact of cyberattacks. The proposed VNFSDN dynamically adapts to the changing security requirements and network conditions, improving network resiliency and enabling proactive threat detection. Finally, we compare the proposed VNFSDN to existing state-of-the-art approaches. According to the results, the proposed VNFSDN has a 0.08 ms minimum response time, a 2% packet loss rate, 99.5% network availability, a 99.36% threat detection rate, and a 99.77% detection accuracy with 1% malicious nodes.

We explore the implications of blockchain technology for conservation and environmental policy. Drawing on an analysis of 27 initiatives, we examine their goals, assumptions, visions and workings. We find that these initiatives do not yet form a coherent approach, there is too much variety in their environmental focus, and the role of blockchain technology in achieving their goals. However, they share a faith in environmental-commodity markets, a penchant for surveillance and upward accountability, and lack a critical analysis of the main causes of environmental problems. Blockchain initiatives are forming a growing community of praxis and deepen ongoing trends in neoliberal environmental governance, characterised by the increased commodification and global accounting, surveillance and marketisation of environmental goods, services and outcomes. We suggest these services and outcomes fail to challenge the actual root causes of environmental degradation. At the same time, they are not all necessarily flawed by these characteristics. They can render information held by communities financially valuable in ways those communities may find useful. Future research should focus on exploring whether blockchain initiatives may at least translate in concrete environmental outcomes and contribute to the well-being of natural resource managers.

The panel explores the application of blockchain technology within the healthcare sector, focusing on its potential to enhance trust, transparency, and connectivity while reinforcing patient-centered control of data access. The discussion examines the opportunities for patient empowerment and improved patient access to healthcare information through decentralized ledger technology. The panel features industry experts providing insights into current trends, challenges, and future prospects of blockchain in pharmaceuticals, emphasizing broader use cases beyond specific organizations.Objectives 1. Gain a comprehensive understanding of the role of blockchain technology in the pharmaceutical industry and its potential impact on patient care and relationships with the healthcare system.2. Explore the opportunities presented by blockchain for improving trust, transparency, and audibility in data sharing within the healthcare and medical environment.3. Understand the significance of patient-centered control in accessing, storing, and utilizing healthcare data and how blockchain can contribute to enhancing patient empowerment.4. Discuss the challenges and considerations associated with implementing blockchain in the pharmaceutical sector and explore strategies to overcome them while ensuring compliance with regulatory frameworks.

It is a critical part of increasing renewable energy accommodation by using virtual power plant (VPP) to attain carbon neutrality. However, VPP applications primarily consider VPP's participation in power market transactions as a whole and rarely consider the transaction interaction between internal resources. VPP's internal resources complement each other organically, and blockchain technology for distributed transactions has incorporated points. In this article, the authors undertake a study and examine the P2P scenario of VPP internal transactions in light of the issues experienced by DERs transactions. Next, the authors analyse the consensus mechanism, smart contract, inter‐blockchain technology, and game theory, and how to apply them in the P2P scenarios of VPP internal transactions. Further, the authors design the function of the DER transaction system, which lays the foundation for the realisation of the system in the future. Finally, the authors conclude that the potential of blockchain technology in P2P transactions between internal entities of the VPP is significant and warrants further investigation.

Highlights of this panel discussion include: The Imminent Quantum Computing threat NIST Post-Quantum Solutions How Quantum Technologies revolutionize Blockchain Technology and Healthcare

In a smart city environment, Intelligent Transportation System (ITS) enables the vehicle to generate and communicate messages for safety applications. There exists a challenge where the integrity of the message needs to be verified before passing it on to other vehicles. There should be a provision to motivate the honest vehicles who are reporting the true event messages. To achieve this, traffic regulations and event detections can be linked with blockchain technology. Any vehicle violating traffic rules will be issued with a penalty by executing the smart contract. In case any accident occurs, the vehicle nearby to the spot can immediately send the event message to Unmanned Aerial Vehicle (UAV). It will check for its credibility and proceed with rewards. The authenticity of the vehicle inside the smart city area is verified by registering itself with UAVs deployed near the city entrance. This is enabled to reduce the participation of unauthorized vehicles inside the city zone. The Secure Hash Algorithm (SHA256) and Elliptic Curve Digital Signature Algorithm (ECDSA-192) are used for communication. The result of computation time for certificate generation and vehicles involvement rate is presented.

Food industry is unique from the point of view of Efficient Consumer Response (ECR) which is a supply chain management initiative specific to the food industry and reflects organizations' efforts to achieve quick response to reaching to market and ultimately consumer using Electronic Data Interchange, RFID (Radio Frequency Identification and bar codes. This paper would focus on looking at pros and cons of evaluating traditional traceability (is an important link in protecting public health since it allows health agencies to more quickly and accurately identify the source of contaminated food, fruit or vegetables believed to be the cause of an outbreak of foodborne illness, remove them from the marketplace, and communicate to the supply chain) matrix versus newly introduced disruptive technology called blockchain. This report outlines various components of traceability and its relation to other parts and methodologies in ensuring food product authenticity the paper further outlines detailing of blockchain technology its various types, implementation with examples and application in food industry. The concluding part of paper compares traditional vs. blockchain methods in regard to cost benefit analysis and implementation perspective of blockchain. The paper through reasoning and arguments justifies that how blockchain bases systems of food traceability are more suitable from speed, confidentiality and ease of implementation perspective as compared to traditional electronic traceability and current systems. From limitation perspective this paper highlights how lack of interoperability is currently the biggest one obstacle preventing system-wide, farm-to-fork food product traceability.

PurposeThe review examines the existing literature on blockchain-based small and medium enterprise (SME) finance and highlights its trend, themes, opportunities and challenges. Based on these factors, the authors create a framework for the existing literature on blockchain-based SME financing and lay down future research paths.Design/methodology/approachThe review follows a systematic approach. It includes 53 articles encompassing multiple dimensions of blockchain-based SME finance, including peer-to-peer lending platforms, supply chain finance (SCF), decentralized lending protocols and tokenization of assets. The review critically evaluates these approaches' theoretical underpinnings, empirical evidence and practical implementations.FindingsThe review demonstrates that blockchain-based SME finance holds significant promise in addressing the credit gap by leveraging blockchain technology's decentralized and transparent nature. Benefits identified include reduced information asymmetry, improved access to financing, enhanced credit assessment processes and increased financial inclusion. However, the literature acknowledges several challenges and limitations, such as regulatory uncertainties, scalability issues, operational complexities and potential security risks.Originality/valueThe article contributes to the growing knowledge of blockchain-based SME finance by synthesizing and evaluating the existing literature. It also provides a framework for the existing literature in the area and future research paths. The study offers insights for researchers, policymakers and practitioners seeking to understand the potential of blockchain technology in filling the SME credit gap and fostering economic development through improved access to finance for SMEs.

Cost prediction can provide a pharma supply chain industry with completing their projects on schedule and within budget. This paper provides a new multi-function Blockchain Technology-enabled Pharmaceutical Supply Chain (BT-enabled PSC) mathematical cost model, including PSC costs, BT costs, and uncertain demand. The purpose of this study is to find the most appropriate algorithm(s) with minimum prediction errors to predict the costs of the BT-enabled PSC model. This paper also aims to determine the importance and cost of each component of the multi-function model. To reach these goals, we combined four Supervised Learning algorithms (KNN, DT, SVM, and NB) with two Evolutionary Computation algorithms (HS and PSO) after data generation. Each component of the multi-function model has its importance, and we applied the Feature Weighting approach to analyze their importance. Next, four performance metrics evaluated the multi-function model, and the Total Ranking Score determined predictive algorithms with high reliability. The results indicate the HS-NB and PSO-NB algorithms perform better than the other six algorithms in predicting the costs of the multi-function model with small errors. The findings also show that the Raw Materials cost has a more substantial influence on the model than the other components. This study also introduces the components of the multi-function BT-enabled PSC model.

Blockchain is a promising breakthrough technology that is highly applicable in manifold sectors. The adoption of blockchain technology is accompanied by a range of issues and challenges that make its implementation complicated. To facilitate the successful implementation of blockchain technology, several blockchain adoption frameworks have been developed. However, selecting the appropriate framework based on the conformity of its features with the business sector may be challenging for decision-makers. This study aims to provide a systematic literature review to introduce the adoption frameworks that are most used to assess blockchain adoption and realize business sectors that these models have been applied. Thus, the blockchain adoption models in 56 articles are reviewed and the results of the studies are summarized by categorizing the articles into five main sections including supply chain, industries, financial sector, cryptocurrencies, and other articles (excluded from the former fields). The findings of the study show that the models based on the technology acceptance model (TAM), technology–organization–environment (TOE), and new conceptual frameworks were the focus of the majority of selected articles. Most of the articles have focused on blockchain adoption in different industry fields and supply chain areas.