scholarly journals Scalable and Secure Internet of Things Connectivity

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 752 ◽  
Author(s):  
Ye-Jin Choi ◽  
Hee-Jung Kang ◽  
Il-Gu Lee
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Human Life ◽  
Security Threats ◽  
Multiple Objects ◽  
Security Risks ◽  
Blockchain Technology ◽  
Iot Devices ◽  
The Internet Of Things ◽  
User Intervention

The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

scholarly journals Multiple Security Certification System between Blockchain Based Terminal and Internet of Things Device: Implication for Open Innovation

2019 ◽  
Vol 5 (4) ◽  
pp. 87 ◽  
Author(s):  
Bong-Gyeol Choi ◽  
EuiSeob Jeong ◽  
Sang-Woo Kim
Keyword(s):  
Internet Of Things ◽  
Open Innovation ◽  
Security Threats ◽  
Effective Solution ◽  
Iot Security ◽  
Certification System ◽  
Blockchain Technology ◽  
Security Module ◽  
Iot Devices ◽  
User Device

As the number of Internet of Things (IoT) devices increases, services expand and illegal hacking and infringement methods become more sophisticated, an effective solution for blockchain technology is required as a fundamental solution to security threats. In this paper, we develop the security module of an IoT device based on blockchain technology that blocks hacking and information infringement and forms a multi-security blockchain system between the IoT device and the user device and we develop a user application. We contribute to addressing the security threats faced by IoT application services by developing a new method. In particular, we present some schemes for the development of a multi-security certification system based on blockchain for IoT security.

The Internet of Things and Cultural Heritage

2022 ◽  
pp. 85-102
Author(s):  
Aybuke Ceyhun Sezgin ◽  
Elif Esma Karaman
Keyword(s):  
Internet Of Things ◽  
Cultural Heritage ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Human Life ◽  
The Internet ◽  
Tourism Sector ◽  
Technological Developments ◽  
Effective Use ◽  
The Internet Of Things

The last point reached in today's technology revolutions is the fourth level industrial revolution. This revolution is called Industry 4.0. Many new generation technologies such as the internet of things, artificial intelligence, internet services, augmented reality, smart objects, and business sector branches have been included in human life. Industry 4.0 technologies have an effective use in many areas of our lives. The tourism sector, which is in constant interaction with people, is also affected by these technological developments. For this reason, businesses should perceive the internet of things well and need to introduce various applications to their businesses to provide the best service to their potential customers. In this chapter, after giving information about the internet of things, cultural heritage, digital transformation practices in the tourism sector, and smart tourists are discussed.

A Reliable IDS System Using Blockchain for SDN-Enabled IIoT Systems

2021 ◽  
pp. 173-194
Author(s):  
Ambika N.
Keyword(s):  
Internet Of Things ◽  
Learning Strategy ◽  
Group Development ◽  
Subspace Learning ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
Learning Procedure ◽  
Industrial Iot ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things is the technology that aims to provide a common platform to the devices of varying capabilities to communicate. Industrial internet of things (IIoT) systems can perform better using these devices in combination with SDN network and blockchain technology. The suggestion uses random space learning (RSL) comprising three stages. The random subspace learning strategy is a troupe learning procedure called attributes bagging. It improves forecast and order errands as it utilizes group development of base classifiers rather than a solitary classifier, and it takes arbitrary subsets of properties rather than the whole arrangement of attributes. The system uses the blockchain methodology to secure the system. SDN networks aim to better the transmission of data in industrial IoT devices. Misrouting and forged attacks are some of the common attacks in these systems. The proposal provides better reliability than the previous contribution by 2.7%.

scholarly journals E-HIP: An Energy-Efficient OpenHIP-Based Security in Internet of Things Networks

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4921 ◽  
Author(s):  
Peter Kaňuch ◽  
Dominik Macko
Keyword(s):  
Internet Of Things ◽  
Data Transfer ◽  
Security Protocols ◽  
Security Threats ◽  
Optimized Protocol ◽  
Host Identity ◽  
Iot Devices ◽  
High Level ◽  
Application Specific ◽  
The Internet Of Things

The rapidly growing segment of the Internet of Things (IoT) makes the security threats more prominent than ever. The research around communication security and cybersecurity in such networks is still a challenge, mainly due to the typically limited energy and computation resources of IoT devices. The strong security mechanisms require significant power and thus the energy wastage must be minimized. Optimized application-specific security protocols are commonly used to make the data transfer more efficient, while still offering a high level of security. The supported security features, such as confidentiality, integrity or authenticity, should not be affected by the optimization. Our work is focused on optimizing one of the existing security protocols for the use in the IoT area, namely the Host Identity Protocol (HIP). Based on the analysis of related works, we have identified multiple possibilities for optimization and combined some of them into the proposed E-HIP optimized protocol. For verification purpose, it has been implemented as a modification of the open-source OpenHIP library and applied on a communication between real hardware devices. The secured communication worked correctly. The resulting effect of the proposed optimization has been evaluated experimentally and it represents an increase in energy efficiency by about 20%. Compared to other HIP optimizations, the achieved results are similar; however, the proposed optimizations are unique and can be further combined with some of the existing ones to achieve even higher efficiency.

scholarly journals PROBLEMS AND SECURITY THREATS TO IOT DEVICES

2021 ◽  
Vol 3 (11) ◽  
pp. 31-42
Author(s):  
Ivan Opirskyy ◽  
Roman Holovchak ◽  
Iryna Moisiichuk ◽  
Tetyana Balianda ◽  
Sofiia Haraniuk
Keyword(s):  
Internet Of Things ◽  
Information Transfer ◽  
The Internet ◽  
Security Threats ◽  
Security Issues ◽  
System Protection ◽  
Extended Type ◽  
Iot Devices ◽  
Set Up ◽  
The Internet Of Things

The Internet of Things or IoT is billions of physical devices connected to the Internet. Its main premise is simply an extended type of connection, which can then be used as a basis for all kinds of functions. IoT describes a network of physical objects - "things" that are built into sensors, software and other technologies to connect and communicate with other devices and systems over the Internet. Problems of system protection, including the use of IoT devices are studied by many scientists and specialists in this field, but in today's world, not every manufacturer is ready to declare vulnerabilities and general insecurity of their products (devices). Throughout the IoT environment, from manufacturers to users, there are still many IoT security issues, such as manufacturing standards, update management, physical hardening, user knowledge and awareness. This article examines the vulnerabilities of the Internet of Things. The analysis of information transfer technologies of IoT devices (in particular ZigBee, Signfox and Bluetooth) is carried out. The most common threats that a user may encounter have been identified and analyzed. It is also established that usually not only the manufacturer poses a threat to the security of IoT devices. There are also a number of tips for users who want to reduce the risk of data leakage associated with vulnerabilities in the Internet of Things. Unfortunately, it is not uncommon for such devices to be incorrectly set up, used and stored. Extremely common is the user's refusal to update the software, which in turn leaves open those vulnerabilities that the manufacturer is trying to fix. The main purpose of the article is to determine the causes of security threats to the Internet of Things, by analyzing data transmission technologies, analysis of the threats themselves, identifying the most critical of them and ways to reduce the risk of data theft

scholarly journals Efficient Byzantine Consensus Mechanism Based on Reputation in IoT Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xu Yuan ◽  
Fang Luo ◽  
Muhammad Zeeshan Haider ◽  
Zhikui Chen ◽  
Yucheng Li
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Consensus Algorithm ◽  
Consensus Algorithms ◽  
Heterogeneous Devices ◽  
Blockchain Technology ◽  
Critical Problems ◽  
Iot Devices ◽  
Reliability And Robustness ◽  
The Internet Of Things

Blockchain technology has advanced rapidly in recent years and is now widely used in a variety of fields. Blockchain appears to be one of the best solutions for managing massive heterogeneous devices while achieving advanced data security and data reputation, particularly in the field of large-scale IoT (Internet of Things) networks. Despite the numerous advantages, there are still challenges while deploying IoT applications on blockchain systems due to the limited storage, power, and computing capability of IoT devices, and some of these problems are caused by the consensus algorithm, which plays a significant role in blockchain systems by ensuring overall system reliability and robustness. Nonetheless, most existing consensus algorithms are prone to poor node reliability, low transaction per second (TPS) rates, and scalability issues. Aiming at some critical problems in the existing consensus algorithms, this paper proposes the Efficient Byzantine Reputation-based Consensus (EBRC) mechanism to resolve the issues raised above. In comparison to traditional algorithms, we reinvented ways to evaluate node reliability and robustness and manage active nodes. Our experiments show that the EBRC algorithm has lower consensus delay, higher throughput, improved security, and lower verification costs. It offers new reference ideas for solving the Internet of Things+blockchain+Internet court construction problem.

scholarly journals A Survey on the Use of IoT and IoT Devices in a Human Life

2020 ◽  
pp. 297-302
Author(s):  
Rupal Chaudhary
Keyword(s):  
Internet Of Things ◽  
Biological System ◽  
Social Insurance ◽  
Human Life ◽  
The Internet ◽  
Business Applications ◽  
Iot Devices ◽  
The Internet Of Things

Abstract. The Internet of Things (IoT) is making a lot of buzz while it approaches changing our lives. IoT is all over the place, despite the fact that we don't generally observe it or realize that a gadget is a piece of the IoT. The IoT is transforming physical articles into a biological system of data shared between gadgets that are wearable, versatile, even implantable, making our lives innovation and information rich. IoT business applications are various. Keen machines are evolving when, where and how work is done in for all intents and purposes each industry; yet, I'm not catching it's meaning for reality? IoT is a remarkable system associating machines, people, information and forms and is presently sifting down to reality, molding how we approach our every day lives. Some true instances of IoT are wearable wellness and trackers (like Fitbits) and IoT social insurance applications, voice partners (Siri and Alexa), shrewd vehicles (Tesla), and keen machines (iRobot). With IoTs quick arrangement coming into contact with numerous IoT gadgets consistently will be unavoidable soon. In this paper we gathered the region on which the IoT gadgets will significantly affect numerous parts of our carries on with like in live, in drive, and in cultivating harvests and creatures.

scholarly journals Assesing the Services, security Threaths, Challenges and Solutions in the Internet of Things

2019 ◽  
Vol 20 (3) ◽  
pp. 457-484 ◽  
Author(s):  
Syed Rameem Zahra ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Personal Health ◽  
Security Threats ◽  
Recent Past ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

The purpose of this paper is to chalk out the criticality of the most important pillar of Internet of Things (IoT),i.e., Security and Privacy (S&P). IoT has seen its journey from implausible and impossible to sustainable and tenable. Its rateof expansion into various grounds from agriculture to sports; personal health to intelligent trac detection; waste managementto smart homes is astonishing, dramatic and unforeseen. With such vast adaptability and functionality, its security remains thebiggest concern because in contrast to the traditional networks, IoT faces huge vulnerabilities some of which are inherent and othersexplicit. The existing security solutions cannot be implemented in IoT because of its unique characteristics. Therefore, there is adire need to develop novel security procedures betting IoT. This paper spots the features that are peculiar to IoT and concurrentlyanalyzes the security threats and challenges they pose. This work also provides a glimpse of the major IoT implementations withtheir particular security requirements and challenges. Moreover, this paper critically evaluates the proposed countermeasures tosecurity attacks on dierent features and why they cannot be used in IoT environments. Also, it is found that most of the securitysolutions used in IoT devices are inspired from Wireless Sensor Networks (WSN) but the striking dierences among the two makethem inadequate in IoT. The security requirements and challenges peculiar to various IoT services are also identied. To assist theresearchers in remaining up-to-date, we for the rst time have thoroughly expressed some of the most famous and practical attacksfaced across the world in the recent past, how much damage they caused, how much nancial losses were faced, etc.

scholarly journals Botnet Attack Detection by Using CNN-LSTM Model for Internet of Things Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Hasan Alkahtani ◽  
Theyazn H. H. Aldhyani
Keyword(s):  
Internet Of Things ◽  
Short Term Memory ◽  
Attack Detection ◽  
Cyber Attacks ◽  
Short Term ◽  
Security Risks ◽  
Optimal Accuracy ◽  
Long Short Term Memory ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) has grown rapidly, and nowadays, it is exploited by cyber attacks on IoT devices. An accurate system to identify malicious attacks on the IoT environment has become very important for minimizing security risks on IoT devices. Botnet attacks are among the most serious and widespread attacks, and they threaten IoT devices. Motionless IoT devices have a security weakness due to lack of sufficient memory and computation results for a security platform. In addition, numerous existing systems present themselves for finding unknown patterns from IoT networks to improve security. In this study, hybrid deep learning, a convolutional neural network and long short-term memory (CNN-LSTM) algorithm, was proposed to detect botnet attacks, namely, BASHLITE and Mirai, on nine commercial IoT devices. Extensive empirical research was performed by employing a real N-BaIoT dataset extracted from a real system, including benign and malicious patterns. The experimental results exposed the superiority of the CNN-LSTM model with accuracies of 90.88% and 88.61% in detecting botnet attacks from doorbells (Danminin and Ennio brands), whereas the proposed system achieved good accuracy (88.53%) in identifying botnet attacks from thermostat devices. The accuracies of the proposed system in detecting botnet attacks from security cameras were 87.19%, 89.23%, 87.76%, and 89.64%, with respect to accuracy metrics. Overall, the CNN-LSTM model was successful in detecting botnet attacks from various IoT devices with optimal accuracy.

scholarly journals Cybersecurity and the Internet of Things

2016 ◽  
Vol 54 (2(108)) ◽  
pp. 22-36
Author(s):  
Christopher Biedermann
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Security Threats ◽  
Cyber Attack ◽  
Security Issues ◽  
Risk Approach ◽  
Key Issues ◽  
Iot Devices ◽  
High Level ◽  
The Internet Of Things

PURPOSE/THESIS: The purpose of this paper is to use a recent cyber-attack to highlight the current state of readiness of Internet of Things (IoT) technologies with regard to security vulnerabilities as well as fundamental – in the author’s opinion – changes that will need to take place within these industries and technologies to mitigate the overall cybersecurity risk. APPROACH/METHODS: The analysis of the findings from numerous existing published security studies. RESULTS AND CONCLUSIONS: The following conclusions were reached: (1) in the world becoming more and more interconnected through the web enabled devices (IoT devices), new forms of security threats have been developed; (2) at present IoT devices introduce a high level of vulnerability; (3) many of these risks may be mitigated with already existing technologies; (4) however, due to the fragmented and heterogeneous nature of the IoT devices, the implementation of even basic levels of security is more challenging than in the case of traditional Internet connected devices (e.g. personal computers); (5) the industry needs to face and address three key issues that will in turn help to mitigate the unique security threats posed by IoT devices, namely: the drive towards open standards, the industry cooperation and consolidation, and the improvement of consumer awareness. ORIGINALITY/VALUE: The value of the research is to highlight the security issues related to the Internet of Things and propose solutions that must be implemented to increase the level of security awareness within the IoT environment.

Sign in / Sign up

Export Citation Format

Share Document