scholarly journals Securing Environmental IoT Data Using Masked Authentication Messaging Protocol in a DAG-Based Blockchain: IOTA Tangle

2021 ◽  
Vol 13 (12) ◽  
pp. 312
Author(s):  
Pranav Gangwani ◽  
Alexander Perez-Pons ◽  
Tushar Bhardwaj ◽  
Himanshu Upadhyay ◽  
Santosh Joshi ◽  
...  
Keyword(s):  
Communication Protocol ◽  
Data Communication ◽  
Sensor Data ◽  
Privacy And Security ◽  
Adoption Of Technology ◽  
Storage And Retrieval ◽  
Security Issues ◽  
Distributed Ledger ◽  
Digital Monitoring ◽  
Iot Devices

The demand for the digital monitoring of environmental ecosystems is high and growing rapidly as a means of protecting the public and managing the environment. However, before data, algorithms, and models can be mobilized at scale, there are considerable concerns associated with privacy and security that can negatively affect the adoption of technology within this domain. In this paper, we propose the advancement of electronic environmental monitoring through the capability provided by the blockchain. The blockchain’s use of a distributed ledger as its underlying infrastructure is an attractive approach to counter these privacy and security issues, although its performance and ability to manage sensor data must be assessed. We focus on a new distributed ledger technology for the IoT, called IOTA, that is based on a directed acyclic graph. IOTA overcomes the current limitations of the blockchain and offers a data communication protocol called masked authenticated messaging for secure data sharing among Internet of Things (IoT) devices. We show how the application layer employing the data communication protocol, MAM, can support the secure transmission, storage, and retrieval of encrypted environmental sensor data by using an immutable distributed ledger such as that shown in IOTA. Finally, we evaluate, compare, and analyze the performance of the MAM protocol against a non-protocol approach.

scholarly journals Efficient Data Communication Using Distributed Ledger Technology and IOTA-Enabled Internet of Things for a Future Machine-to-Machine Economy

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4354
Author(s):  
Mohd Majid Akhtar ◽  
Danish Raza Rizvi ◽  
Mohd Abdul Ahad ◽  
Salil S. Kanhere ◽  
Mohammad Amjad ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Communication ◽  
Sensor Data ◽  
The Internet ◽  
Machine To Machine ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Iot Devices ◽  
Over The Top ◽  
The Internet Of Things

A potential rise in interest in the Internet of Things in the upcoming years is expected in the fields of healthcare, supply chain, logistics, industries, smart cities, smart homes, cyber physical systems, etc. This paper discloses the fusion of the Internet of Things (IoT) with the so-called “distributed ledger technology” (DLT). IoT sensors like temperature sensors, motion sensors, GPS or connected devices convey the activity of the environment. Sensor information acquired by such IoT devices are then stored in a blockchain. Data on a blockchain remains immutable however its scalability still remains a challenging issue and thus represents a hindrance for its mass adoption in the IoT. Here a communication system based on IOTA and DLT is discussed with a systematic architecture for IoT devices and a future machine-to-machine (M2M) economy. The data communication between IoT devices is analyzed using multiple use cases such as sending DHT-11 sensor data to the IOTA tangle. The value communication is analyzed using a novel “micro-payment enabled over the top” (MP-OTT) streaming platform that is based on the “pay-as-you-go” and “consumption based” models to showcase IOTA value transactions. In this paper, we propose an enhancement to the classical “masked authenticated message” (MAM) communication protocol and two architectures called dual signature masked authenticated message (DSMAM) and index-based address value transaction (IBAVT). Further, we provided an empirical analysis and discussion of the proposed techniques. The implemented solution provides better address management with secured sharing and communication of IoT data, complete access control over the ownership of data and high scalability in terms of number of transactions that can be handled.

IoT in Healthcare

2020 ◽  
pp. 1-22
Author(s):  
V. Jeevika Tharini ◽  
S. Vijayarani
Keyword(s):  
Health Sector ◽  
Information Privacy ◽  
Security And Privacy ◽  
Healthcare Industry ◽  
Security Attacks ◽  
Privacy And Security ◽  
Privacy Concerns ◽  
Security Issues ◽  
Iot Devices ◽  
Individual Information

One of the best-known features of IoT is automation. Because of this, IoT is a much-needed field for many applications, namely emergency and healthcare domains. IoT has made many revolutionary changes in the healthcare industry. IoT paves the way to numerous advancements for healthcare. The possibilities of IoT have reached their peak in the commercial industry and health sector. In recent years, serious concerns have been raised over the control and access of one's individual information. Privacy and security of the IoT devices can be compromised by intruders. Apart from the numerous benefits of IoTs, there are several security and privacy concerns to consider. A brief overview of different kinds of security attacks, solution for the attacks, privacy and security issues are discussed in this chapter.

scholarly journals A Novel Fog-IoT based Framework for Improving Performance of Cloud Computing

2019 ◽  
Vol 8 (12S) ◽  
pp. 889-895
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Secure Communication ◽  
Fog Computing ◽  
Cloud Service ◽  
Raspberry Pi ◽  
New Paradigm ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices

Internet-of-Things (IoT) has been considered as a fundamental part of our day by day existence with billions of IoT devices gathering information remotely and can interoperate within the current Internet framework. Fog computing is nothing but cloud computing to the extreme of network security. It provides computation and storage services via CSP (Cloud Service Provider) to end devices in the Internet of Things (IoT). Fog computing allows the data storing and processing any nearby network devices or nearby cloud endpoint continuum. Using fog computing, the designer can reduce the computation architecture of the IoT devices. Unfortunitily, this new paradigm IoT-Fog faces numerous new privacy and security issues, like authentication and authorization, secure communication, information confidentiality. Despite the fact that the customary cloud-based platform can even utilize heavyweight cryptosystem to upgrade security, it can't be performed on fog devices drectly due to reseource constraints. Additionally, a huge number of smart fog devices are fiercely disseminated and situated in various zones, which expands the danger of being undermined by some pernicious gatherings. Trait Based Encryption (ABE) is an open key encryption conspire that enables clients to scramble and unscramble messages dependent on client qualities, which ensures information classification and hearty information get to control. Be that as it may, its computational expense for encryption and unscrambling stage is straightforwardly corresponding to the multifaceted nature of the arrangements utilized. The points is to assess the planning, CPU burden, and memory burden, and system estimations all through each phase of the cloud-to-things continuum amid an analysis for deciding highlights from a finger tapping exercise for Parkinson's Disease patients. It will be appeared there are confinements to the proposed testbeds when endeavoring to deal with upwards of 35 customers at the same time. These discoveries lead us to a proper conveyance of handling the leaves the Intel NUC as the most suitable fog gadget. While the Intel Edison and Raspberry Pi locate a superior balance at in the edge layer, crossing over correspondence conventions and keeping up a self-mending network topology for "thing" devices in the individual territory organize.

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 Model-based approach for semantic-driven deployment of containerized applications to support future internet services and architectures

2019 ◽  
Vol 16 (1) ◽  
pp. 21-44 ◽  
Author(s):  
Nenad Petrovic
Keyword(s):  
Future Internet ◽  
The Other ◽  
Virtual Network ◽  
Privacy And Security ◽  
Data Movement ◽  
Security Issues ◽  
Model Based ◽  
Enormous Amount ◽  
Network Functions ◽  
Iot Devices

Due to increasing number of connected Internet of Things (IoT) devices, enormous amount of data needs to be transmitted to the Cloud for processing, while the network is becoming Cloud computing?s bottleneck. On the other side, the privacy and security issues in more sensitive application domains could dramatically restrict the freedom of data movement, so it is not possible to offload all the data to the Cloud for processing. Furthermore, the manual operations related to tuning and deployment of these applications are time-consuming and require additional effort. In this paper, a model-based framework for automated, semantic-driven (re-)deployment of containerized applications is presented, leveraging the synergy of Virtual Network Functions (VNFs) and SDN, tackling the mentioned issues.

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 Emprical Study of Iot Solution for The Security Threats In Real Life Scenario: State of The Art

2018 ◽  
Vol 7 (2.19) ◽  
pp. 26
Author(s):  
C Bala Murugan ◽  
S Koteeswaran
Keyword(s):  
Architectural Design ◽  
Real Life ◽  
Security And Privacy ◽  
Security Threats ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices ◽  
State Of Affairs ◽  
Privacy Issues ◽  
Open Issues

IoT technology and applications represents security as a significant issue for facilitating the tremendous implementation.     Devoid of IoTs technology ensures the device level confidentiality, privacy and authenticity. The applicable users are not going to     undertake answers for security in IoT in huge scale. The earlier stage deployments of IoT devices are primarily based on RFIDs         technology which results in simplest, security solutions inside the principal been devised in an advert hoc manner [8]. This brings the fact that such deployments were typically vertically incorporated, with all additives beneath the manage of a single administrative entity. In the angle of an IoT eco-system, in which unique person may be worried in a given software state of affairs. One person owing the      physical operations of  sensors, one stakeholder deals with the statistics and processing them and other numerous stakeholders supplies different services based totally on such statistics to the customers. This leads to numerous variety of safety demanding situations and security for the IoT. In this paper, we address the revisited security issues and discuss the critical safety protection conditions of Internet of Things era into a mainstream. To support this, the three key problems requiring cutting-edge techniques includes are data               confidentiality, privacy and trust.In this review, we presented net factors with architectural design goals of IoT. We surveyed security and privacy issues in IoTs. Also the discussion on several open issues based on the privacy and security is addressed. Many real time applications of IoTs in real life treats the security issues of IoT as a main factor. Thus the IoT of complicated security issues have been anticipated the researchers to address. 

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 The Emergence of Internet of Things (IoT): Connecting Anything, Anywhere

Computers ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 40 ◽  
Author(s):  
Md Arafatur Rahman ◽  
A. Taufiq Asyhari
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
Technological Development ◽  
Data Communication ◽  
Sensor Data ◽  
Privacy And Security ◽  
Complex Information ◽  
Efficient Data ◽  
Independent Entity ◽  
New Applications

Internet of Things (IoT) plays the role of an expert’s technical tool by empowering physical resources into smart entities through existing network infrastructures. Its prime focus is to provide smart and seamless services at the user end without any interruption. The IoT paradigm is aimed at formulating a complex information system with the combination of sensor data acquisition, efficient data exchange through networking, machine learning, artificial intelligence, big data, and clouds. Conversely, collecting information and maintaining the confidentiality of an independent entity, and then running together with privacy and security provision in IoT is the main concerning issue. Thus, new challenges of using and advancing existing technologies, such as new applications and using policies, cloud computing, smart vehicular system, protective protocols, analytics tools for IoT-generated data, communication protocols, etc., deserve further investigation. This Special Issue reviews the latest contributions of IoT application frameworks and the advancement of their supporting technology. It is extremely imperative for academic and industrial stakeholders to propagate solutions that can leverage the opportunities and minimize the challenges in terms of using this state-of-the-art technological development.

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