scholarly journals Convergence between Blockchain and the Internet of Things

2021 ◽  
Vol 1 (1) ◽  
pp. 34-53
Author(s):  
Alma Cruz
Keyword(s):  
Data Privacy ◽  
Hybrid Approach ◽  
Multiple Regression Model ◽  
The Internet ◽  
Smart Contracts ◽  
Consensus Protocol ◽  
Privacy And Security ◽  
Iot Devices ◽  
Convergence Model ◽  
The Internet Of Things

The objective of this study was to determine the effectiveness of a particular convergencemodel for IoT and blockchain. Multiple regression model was selected to determine the effectiveof a specific convergence model. Three convergence models were selected for this study, includingthe hybrid approach, the IoT-blockchain approach, and the IoT-IoT approach. The findingsindicated that there are issues with convergence between two different technologies. The otherfinding was that the hybrid model provided the best convergence platform for integrating IoT withblockchain. Regarding the IoT and blockchain, convergence challenges included the limitedcapacity of IoT devices to handle the nature of distributed ledgers. The recommendation is that theaspects of traditional blockchain should be redesigned because of new requirements of IoT,including smart contracts, consensus protocol, data privacy, and security.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

A Survey of Authentication Schemes in the Internet of Things

2019 ◽  
Vol 6 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Yasmine Labiod ◽  
Abdelaziz Amara Korba ◽  
Nacira Ghoualmi-Zine
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Depth Study ◽  
Authentication Schemes ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

In the recent years, the Internet of Things (IoT) has been widely deployed in different daily life aspects such as home automation, electronic health, the electric grid, etc. Nevertheless, the IoT paradigm raises major security and privacy issues. To secure the IoT devices, many research works have been conducted to counter those issues and discover a better way to remove those risks, or at least reduce their effects on the user's privacy and security requirements. This article mainly focuses on a critical review of the recent authentication techniques for IoT devices. First, this research presents a taxonomy of the current cryptography-based authentication schemes for IoT. In addition, this is followed by a discussion of the limitations, advantages, objectives, and attacks supported of current cryptography-based authentication schemes. Finally, the authors make in-depth study on the most relevant authentication schemes for IoT in the context of users, devices, and architecture that are needed to secure IoT environments and that are needed for improving IoT security and items to be addressed in the future.

Image Validation with Virtualization in Blockchain Based Internet of Things

2020 ◽  
Vol 17 (5) ◽  
pp. 2388-2395
Author(s):  
M. Vivek Anand ◽  
S. Vijayalakshmi
Keyword(s):  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Intelligence Agency ◽  
Cyber Intelligence ◽  
Peer To Peer Networks ◽  
Secure Environment ◽  
Iot Devices ◽  
Processing Techniques ◽  
The Internet Of Things

IoT is changing the way for a world, where many of our daily objects will be connected with each other and will interact with their environment in order to collect information and automate certain tasks. IoT requires seamless authentication, data privacy, security, robustness against attacks, easy deployment, and self-maintenance. Protecting data in the internet of things is essential for making the IoT environment secure. In order to secure the data on the internet of things, the blockchain will provide distributed peer to peer networks. Blockchain-based internet of things is making a secure environment in the IoT environment. Data are stored in the form of images in IoT devices that are captured in various locations in the IoT environment for processing. Images are stored as data in the blockchain and it acts as a transaction. This paper expresses the environment of blockchain-based internet of things with image validation. This paper will explain this domain with an example of a criminal’s image identification with image processing techniques to provide better service to the cyber intelligence agency to find criminals easily. The identification of criminals is done by comparing the images of the criminals’ identification.

scholarly journals A blockchain-based IoT trust model

2021 ◽  
Author(s):  
Sarah Asiri
Keyword(s):  
Heterogeneous Network ◽  
Trust Model ◽  
The Internet ◽  
Smart Contracts ◽  
Implicit Trust ◽  
Multiple Devices ◽  
Iot Devices ◽  
Permissioned Blockchains ◽  
The Internet Of Things ◽  
Different Levels

The Internet of Things (IoT) is a heterogeneous network of interconnected objects or ‘things’ that are typically connected via the Internet. Trust in most IoT networks is presumed implicitly. This implicit trust assumption can be abused by adversaries to disrupt the network and manipulate reputations of trusted devices. To tackle IoT trust issues, we use permissioned blockchains that utilize Smart Contracts (executable policies) to evaluate and refine IoT devices’ trust. Blockchains replicate a permanent append-only record of all transactions occurring on a network on multiple devices. This prevents adversaries from modifying previous transactions to influence trust evaluations. In this thesis, we propose an IoT trust model that uses Blockchains to record and validate IoT devices’ identities and dynamically evaluates the trustworthiness of devices in the IoT network. Moreover, our model allows for different levels of security based on the sensitivity of data being transmitted across the IoT network.

Blockchain With the Internet of Things

2021 ◽  
pp. 202-228
Author(s):  
Kamalendu Pal
Keyword(s):  
Information Systems ◽  
Internet Of Things ◽  
Manufacturing Industry ◽  
The Internet ◽  
Enterprise Information ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Applications ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things (IoT) is ushering a new age of technology-driven automation of information systems into the manufacturing industry. One of the main concerns with IoT systems is the lack of privacy and security preserving schemes for controlling access and ensuring the safety of the data. Many security issues arise because of the centralized architecture of IoT-based information systems. Another concern is the lack of appropriate authentication and access control schemes to moderate the access to information generated by the IoT devices in the manufacturing industry. Hence, the question that arises is how to ensure the identity of the manufacturing machinery or the communication nodes. This chapter presents the advantages of blockchain technology to secure the operation of the modern manufacturing industry in a trustless environment with IoT applications. The chapter reviews the challenges and threats in IoT applications and how integration with blockchain can resolve some of the manufacturing enterprise information systems (EIS).

scholarly journals A blockchain-based IoT trust model

2021 ◽  
Author(s):  
Sarah Asiri
Keyword(s):  
Heterogeneous Network ◽  
Trust Model ◽  
The Internet ◽  
Smart Contracts ◽  
Implicit Trust ◽  
Multiple Devices ◽  
Iot Devices ◽  
Permissioned Blockchains ◽  
The Internet Of Things ◽  
Different Levels

The Internet of Things (IoT) is a heterogeneous network of interconnected objects or ‘things’ that are typically connected via the Internet. Trust in most IoT networks is presumed implicitly. This implicit trust assumption can be abused by adversaries to disrupt the network and manipulate reputations of trusted devices. To tackle IoT trust issues, we use permissioned blockchains that utilize Smart Contracts (executable policies) to evaluate and refine IoT devices’ trust. Blockchains replicate a permanent append-only record of all transactions occurring on a network on multiple devices. This prevents adversaries from modifying previous transactions to influence trust evaluations. In this thesis, we propose an IoT trust model that uses Blockchains to record and validate IoT devices’ identities and dynamically evaluates the trustworthiness of devices in the IoT network. Moreover, our model allows for different levels of security based on the sensitivity of data being transmitted across the IoT network.

scholarly journals Internet of things (IoT): a technology review, security issues, threats, and open challenges

2020 ◽  
Vol 20 (3) ◽  
pp. 1685
Author(s):  
Alaa Ahmed Abbood ◽  
Qahtan Makki Shallal ◽  
Mohammed A. Fadhel
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Research Focus ◽  
Huge Number ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Technology Review

<p><span>Internet of Things (IoT) devices are spread in different areas such as e-tracking, e-commerce, e-home, and e-health, etc. Thus, during the last ten years, the internet of things technology (IoT) has been a research focus. Both privacy and security are the key concerns for the applications of IoT, and still face a huge number of challenges. There are many elements used to run the IoT technology which include hardware and software such as sensors, GPS, cameras, applications, and so forth. In this paper, we have analyzed and explain the technology of IoT along with its elements, security features, security issues, and threats that attached to each layer of IoT to guide the consideration of researchers into solve and understand the most serious problems in IoT environment.</span></p>

Securing IoT Applications Using Blockchain

2021 ◽  
pp. 56-83
Author(s):  
Sreelakshmi K. K. ◽  
Ashutosh Bhatia ◽  
Ankit Agrawal
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Applications ◽  
Control Schemes ◽  
Iot Devices ◽  
Smart Computing ◽  
The Internet Of Things ◽  
Remarkable Progress

The internet of things (IoT) has become a guiding technology behind automation and smart computing. One of the major concerns with the IoT systems is the lack of privacy and security preserving schemes for controlling access and ensuring the security of the data. A majority of security issues arise because of the centralized architecture of IoT systems. Another concern is the lack of proper authentication and access control schemes to moderate access to information generated by the IoT devices. So the question that arises is how to ensure the identity of the equipment or the communicating node. The answer to secure operations in a trustless environment brings us to the decentralized solution of Blockchain. A lot of research has been going on in the area of convergence of IoT and Blockchain, and it has resulted in some remarkable progress in addressing some of the significant issues in the IoT arena. This work reviews the challenges and threats in the IoT environment and how integration with Blockchain can resolve some of them.

scholarly journals A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2042 ◽  
Author(s):  
Yiming Jiang ◽  
Chenxu Wang ◽  
Yawei Wang ◽  
Lang Gao
Keyword(s):  
Data Management ◽  
Rapid Development ◽  
The Internet ◽  
Privacy And Security ◽  
Security Issues ◽  
High Resource ◽  
Proposed Model ◽  
Effectiveness And Efficiency ◽  
Iot Devices ◽  
The Internet Of Things

With the rapid development of the internet of things (IoT), traditional industries are setting off a massive wave of digitization. In the era of the Internet of Everything, millions of devices and links in IoT pose more significant challenges to data management. Most existing solutions employ centralized systems to control IoT devices, which brings about the privacy and security issues in IoT data management. Recently, blockchain has attracted much attention in the field of IoT due to its decentralization, traceability, and non-tamperability. However, it is non-trivial to apply the current blockchain techniques to IoT due to the lack of scalability and high resource costs. Different blockchain platforms have their particular advantages in the scenario of IoT data management. In this paper, we propose a cross-chain framework to integrate multiple blockchains for efficient and secure IoT data management. Our solution builds an interactive decentralized access model which employs a consortium blockchain as the control station. Other blockchain platforms customized for specific IoT scenarios run as the backbone of all IoT devices. It is equivalent to opening the off-chain channels on the consortium blockchain. Our model merges transactions in these channels for confirmation based on the notary mechanism. Finally, we implement a prototype of the proposed model based on hyperledge Fabric and IOTA Tangle. We evaluate the performance of our method through extensive experiments. The results demonstrate the effectiveness and efficiency of our framework.

scholarly journals Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2926
Author(s):  
Rizwan Majeed ◽  
Nurul Azma Abdullah ◽  
Muhammad Faheem Mushtaq ◽  
Muhammad Umer ◽  
Michele Nappi
Keyword(s):  
Cyber Security ◽  
Data Privacy ◽  
Security And Privacy ◽  
The Internet ◽  
Security Threats ◽  
Privacy And Security ◽  
Proposed Model ◽  
New Challenges ◽  
Secure Network ◽  
The Internet Of Things

Developments in drones have opened new trends and opportunities in different fields, particularly in small drones. Drones provide interlocation services for navigation, and this interlink is provided by the Internet of Things (IoT). However, architectural issues make drone networks vulnerable to privacy and security threats. It is critical to provide a safe and secure network to acquire desired performance. Small drones are finding new paths for progress in the civil and defense industries, but also posing new challenges for security and privacy as well. The basic design of the small drone requires a modification in its data transformation and data privacy mechanisms, and it is not yet fulfilling domain requirements. This paper aims to investigate recent privacy and security trends that are affecting the Internet of Drones (IoD). This study also highlights the need for a safe and secure drone network that is free from interceptions and intrusions. The proposed framework mitigates the cyber security threats by employing intelligent machine learning models in the design of IoT-aided drones by making them secure and adaptable. Finally, the proposed model is evaluated on a benchmark dataset and shows robust results.

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