Blockchain In Iot Gadgetry: Exploring Potential

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Blockchain In Iot Gadgetry: Exploring Potential

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Real World Blockchain Use Case: Efficient Data Management

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By Ali EghmaziAli Eghmazi SciProfiles Scilit Preprints.org Google Scholar 1, *, Mohammadhossein AtaeiMohammadhossein Ataei SciProfiles Scilit Preprints.org Google Scholar 1, René Jr LandryRené Jr Landry SciProfiles Scilit Preprints.org Google Scholar 2

Department of Electrical Engineering, École de Technologie Supérieure, 1100 Rue Notre Dame Ouest, Montreal, QC H3C 1K3, Canada

Iot In Education Industry: The New Way Of Learning

Manuscript received: 10 November 2023 / Revised: 2 January 2024 / Accepted: 4 January 2024 / Published: 10 January 2024

The Internet of Things (IoT) is a technology that can connect billions of devices or “things” to other devices (machine to machine) or even to people through existing infrastructure. Real-world IoT applications include smart cities, smart homes, connected devices, transportation, surveillance, asset management, and smart grids. As the number of devices around the world continues to increase (in all areas of daily life), large amounts of data are generated as a result. So new issues arise in the use and development of new technologies, regarding new applications, regulations, cloud computing, security, and privacy. Decentralization represents a commitment to protect and preserve user privacy and data, in a decentralized manner. In particular, Hyperledger Assets v2.x is a new generation of open source blockchain and offers more features, modularity, and functionality. In this paper, an application-as-a-service (BaaS) blockchain based on Hyperledger Fabric is presented to address the security and privacy issues associated with IoT. New architectures are introduced to enable integration, and are developed and deployed, and their performance is analyzed in real-time. We also recommend new data structures and encryption based on public and private keys for increased security and privacy.

The Internet of Things (IoT) has gained popularity and popularity since its introduction as a network model by Ashton and Gamble in 1999. Its popularity is due to the large number of interconnected networks, networks, and protocols that provide flexible and efficient access. in various industries. However, the increasing number and complexity of IoT devices has raised serious security concerns [1, 2].

In IoT, physical objects are connected so that they can exchange data, which then requires analysis. Sensors in devices that collect and store data in the cloud for analysis, both offer possibilities and create problems, such as the problem of downloading data from devices with limited capabilities. Privacy issues with IoT have also emerged, and the industry has academics striving to overcome them [3]. It is expected that the number of IoT-connected devices will reach a staggering number of over 75 billion in the coming years, and this has intensified the security issues associated with it [4].

S Top Iot Devices Transforming The Healthcare Landscape

The core of the IoT ecosystem is the basic elements such as sensors, computing networks, host machines, devices, and devices [5]. The IoT framework consists of several layers, each of which serves a different purpose: the business layer, the application layer, the middle layer, the network layer, and the body/sensor layer [6].

These interconnected components work together to collect, process, and exchange data, thereby enabling the seamless operation of IoT systems. However, modern IoT systems face challenges in how to efficiently allocate their limited resources while maintaining a focus on privacy and security. Although security solutions are commonly used, they may not meet the specific requirements of IoT systems, making them vulnerable to threats [7].

Massive IoT refers to a potential scenario in which networks support billions of connected devices and applications at a very high rate, facilitating major technological revolutions through the implementation of diverse and advanced systems such as telepresence, virtual reality devices, drone mass, transportation autonomous vehicles, and biosensors. This large network of IoT devices, although it enables unique services in many domains, also raises serious security concerns due to the vulnerability of the devices and the importance of the data they carry, making protection against cyber threats a major challenge [8].

To address these challenges, one emerging approach involves integrating IoT and smart environments using smart technologies such as artificial intelligence and machine learning to enhance the capabilities of smart devices. By incorporating smart capabilities, IoT devices can adapt to changing environments, optimize energy consumption, and provide superior performance. Additionally, this integration enables users to remotely monitor and interact with their IoT network, resulting in improved performance and efficiency [9].

What Is Iot? Complete Guide To Internet Of Things

Protecting security and privacy through trust management is essential [10]. Furthermore, in industries where asset tracking is needed, data immutability becomes a major concern [11], especially in IoT applications that involve direct human interaction. Examples of such applications include healthcare, smart devices, and autonomous vehicles, to name a few. It is important to establish trust in order to promote trust in the system and to protect the privacy and security of the user [12]. However, IoT networks face various security and privacy issues, including distributed denial of service (DDoS) attacks, privacy violations, false positives, and integrity issues [1]. Early researchers reported limited results due to lack of trust and transparency in data processing, indicating the need for new methods [13].

Researchers Stuart Haber and W. Scott Stornetta were instrumental in the development of blockchain technology in 1991 [14]. In 2008, Satoshi Nakamoto introduced Bitcoin, a decentralized currency that solved the problem of privacy in business. Blockchain, a distributed ledger that provides security and transparency, has become popular and is starting to serve various industries around the world. It keeps classified records of the most important data, allowing users to access and control transactions. Key functions include routing, storage, database services, mining, and retrieval [11, 15].

Blockchain technology, which was first introduced to prevent the use of two currencies in digital currency, has been evolving to find applications in various fields such as IoT, logistics, and healthcare [16]. Common benefits of blockchain, including immutability of attached data, decentralized and immutable ledger, non-interference, transparency, and privacy security, make it an ideal solution to address the IoT security challenges described above [17, 18].

Among the different types of blockchains, such as formal, formal, informal, and private, Hyperledger Debt is seen as a solution to the level of activity. Hyperledger Fabric is an independent and scalable tool that offers modularity, scalability, and a flexible and IoT-friendly model. In contrast to the general public, permissioned restrictions such as Hyperledger Fabric limit the publication of records to selected nodes, where access is controlled by a third party that manages user rights [19, 20]. This makes Hyperledger Fabric the perfect choice to meet the unique security and privacy needs of IoT applications.

Iot In Education: Benefits, Challenges & Real Examples

These concepts can be used to connect local and GB sites, guarantee data integrity and have chains and policies. In general, they can improve the size and efficiency in terms of data storage and operations management.

The authors of [22] discussed the architecture of the system including the root server, Hyperledger Fabric, and multi-user. They have shown how to register and control users as agents and show the role of different agencies. Their system allows for the creation and management of multiple teams, with regular monitoring and staffing changes for safety and security operations.

The article in [23] presented a new architecture that used blockchain technology to enable communication between IoT devices. This architecture had four components, consisting of sensors, web services, Ethereum blockchain (ETH), and users and administrators. The system has been shown to work well in a variety of situations, and safe and efficient use has been established. However, its disadvantages include reliance on private ETH networks with limited processing capacity, high cost of

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