scholarly journals Towards a Framework for Assessing Cybersecurity Risks in Internet of Things (IOT) Devices

2021 ◽  
Vol 19 (8) ◽  
pp. 148-163
Author(s):  
Zhilei Qiao ◽  
Julio C. Rivera ◽  
Mi Zhou
Keyword(s):  
Internet Of Things ◽  
Broad Class ◽  
Mobile App ◽  
The Internet ◽  
Theoretic Approach ◽  
Iot Security ◽  
Graph Theoretic ◽  
Security Issues ◽  
Technical Requirements ◽  
Business Entities

The term Internet of Things (IoT) refers to a broad class of devices used by business entities as well as consumers to provide or consume a broad array of services. All these devices share their need to connect to the internet to deliver their native functionality. This connection requirement exposes the devices to the cybersecurity threats found on the internet. Existing literature on IoT cybersecurity solution models has shown that different technologies, such as communication technologies, mobile-app based authorization framework, graph-theoretic approach or blockchain technologies, have been majorly proposed to solve IoT security issues. However, these studies only focus on some specific IoT security issues like data theft or security issues on some specific layer across the whole IoT architecture. Therefore, there is a lack of systematic framework to solve IoT cybersecurity issues. This paper presents a framework for assessing such risks. In the qualitative analysis results, the device threats seem more severe than data confidentiality and privacy issues. This surprising finding highlights the significances of security taxonomy because both issues are based on different technical requirements. Our study has important managerial and practical implications for users, managers, and policymakers.

Healthcare-Internet of Things and Its Components

2021 ◽  
pp. 258-277
Author(s):  
Aman Tyagi
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Communication Technologies ◽  
The Internet ◽  
Healthcare Resources ◽  
Iot Security ◽  
Global Epidemic ◽  
Security Issues ◽  
Analyse Data ◽  
Iot Devices

Elderly population in the Asian countries is increasing at a very fast rate. Lack of healthcare resources and infrastructure in many countries makes the task of provding proper healthcare difficult. Internet of things (IoT) in healthcare can address the problem effectively. Patient care is possible at home using IoT devices. IoT devices are used to collect different types of data. Various algorithms may be used to analyse data. IoT devices are connected to the internet and all the data of the patients with various health reports are available online and hence security issues arise. IoT sensors, IoT communication technologies, IoT gadgets, components of IoT, IoT layers, cloud and fog computing, benefits of IoT, IoT-based algorithms, IoT security issues, and IoT challenges are discussed in the chapter. Nowadays global epidemic COVID19 has demolished the economy and health services of all the countries worldwide. Usefulness of IoT in COVID19-related issues is explained here.

scholarly journals Security Issues and Challenges in IOT: a Comprehensive Study

2018 ◽  
Vol 7 (2.32) ◽  
pp. 298 ◽  
Author(s):  
M Bhargavi ◽  
Dr M.Nagabhushana Rao
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
Denial Of Service ◽  
The Internet ◽  
Security Architecture ◽  
Iot Security ◽  
Security Issues ◽  
Continuous Support ◽  
The Internet Of Things ◽  
Comprehensive Study

The Internet of Things (IoT) is a revolutionary model, with rising wireless sensor network technology. In IoT network devices are connected and communicated with each other or with human. IoT is extremely available to security assaults. In recent years, the internet of things has a continuous support in research. In the upcoming scenario, IoT will play an important role and changes our day-to-day life, principles as well as industry models. In this paper we provide ensuring security of data exchange, IoT architecture and IoT Security architecture, applications, drawbacks of IoT. We study about various security issues, Problems, normal and Denial of service attacks in different layers, issues and research defy in IoT are also discussed.   

Security in the Internet of Things

2018 ◽  
pp. 105-121
Author(s):  
Ahmed Maarof ◽  
Mohamed Senhadji ◽  
Zouheir Labbi ◽  
Mostafa Belkasmi
Keyword(s):  
Internet Of Things ◽  
Security Requirements ◽  
The Internet ◽  
Security Threats ◽  
Iot Security ◽  
Implementation Challenges ◽  
Security Issues ◽  
The Internet Of Things

In this chapter, the authors present a review of security requirements for IoT and provide an analysis of the possible attacks, security issues, and major security threats from the perspective of layers that comprise IoT. To overcome these limitations, the authors describe a security implementation challenges in IoT security. This chapter serves as a manual of security threats and issues of the IoT and proposes possible solutions and recommendations for improving security in the IoT environment.

scholarly journals A State of the Art Survey of Machine Learning Algorithms for IoT Security

2021 ◽  
pp. 12-34
Author(s):  
Alan Fuad Jahwar ◽  
Subhi R. M. Zeebaree
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Smart Cities ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Security Measures ◽  
Iot Security ◽  
Security Issues ◽  
The Internet Of Things

The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to the Internet. The IoT's diverse application domains, including smart cities, smart homes, and e-health, have created new challenges, chief among them security threats. To accommodate the current networking model, traditional security measures such as firewalls and Intrusion Detection Systems (IDS) must be modified. Additionally, the Internet of Things and Cloud Computing complement one another, frequently used interchangeably when discussing technical services and collaborating to provide a more comprehensive IoT service. In this review, we focus on recent Machine Learning (ML) and Deep Learning (DL) algorithms proposed in IoT security, which can be used to address various security issues. This paper systematically reviews the architecture of IoT applications, the security aspect of IoT, service models of cloud computing, and cloud deployment models. Finally, we discuss the latest ML and DL strategies for solving various security issues in IoT networks.

scholarly journals Home Automation and RFID-Based Internet of Things Security: Challenges and Issues

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Haram Fatima ◽  
Habib Ullah Khan ◽  
Shahzad Akbar
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Cyber Security ◽  
The Internet ◽  
Home Automation ◽  
Iot Security ◽  
Security Issues ◽  
Network Layers ◽  
Security Research ◽  
Educational Applications

Internet of Things (IoT) protection refers to the software field related to securing the Internet of Things and associated linked devices and systems. The IoT is a system of interconnected computers, sensors, actuators, or people on the World Wide Web (WWW). All these different devices have a unique identity in the IoT and must convey data across the network automatically. If computers are not adequately secured, allowing them to connect to the Internet exposes them to a range of serious vulnerabilities. Because the consequences of IoT failures are severe, it is necessary to observe and analyze security issues related to IoT. The prime goal of IoT security is to protect personal safety, while also guaranteeing and ensuring accessibility. In the context of IoT technology, the present study conducts a systematic literature review that analyzes the security problems associated with commercial and educational applications of home automation and details the technical possibilities of IoT with respect to the network layer. In this systematic review, we discuss how current contexts result in the inability of designers of IoT devices to enhance their cyber-security initiatives. Typically, application developers are responsible for training themselves to understand recent security advancements. As a result, active participation on the ridge scale with passive improvement can be achieved. A comparative analysis of the literature was conducted. The main objective of this research is to provide an overview of current IoT security research in home automation, particularly those using authentication methods in different devices, and related technologies in radio frequency identification (RFID) on network layers. IoT security issues are addressed, and various security problems in each layer are analyzed. We describe cross-layer heterogeneous integration as a domain of IoT and demonstrate how it can provide some promising solutions.

Machine Learning Techniques to Mitigate Security Attacks in IoT

2020 ◽  
pp. 65-93
Author(s):  
Kavi Priya S. ◽  
Vignesh Saravanan K. ◽  
Vijayalakshmi K.
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Information Exchange ◽  
Machine Learning Techniques ◽  
Smart Devices ◽  
The Internet ◽  
Sensitive Data ◽  
Iot Security ◽  
Security Issues ◽  
Learning Techniques

Evolving technologies involve numerous IoT-enabled smart devices that are connected 24-7 to the internet. Existing surveys propose there are 6 billion devices on the internet and it will increase to 20 billion devices within a few years. Energy conservation, capacity, and computational speed plays an essential part in these smart devices, and they are vulnerable to a wide range of security attack challenges. Major concerns still lurk around the IoT ecosystem due to security threats. Major IoT security concerns are Denial of service(DoS), Sensitive Data Exposure, Unauthorized Device Access, etc. The main motivation of this chapter is to brief all the security issues existing in the internet of things (IoT) along with an analysis of the privacy issues. The chapter mainly focuses on the security loopholes arising from the information exchange technologies used in internet of things and discusses IoT security solutions based on machine learning techniques including supervised learning, unsupervised learning, and reinforcement learning.

scholarly journals An Examination of Security and Privacy Challenges in Internet of Things

2020 ◽  
Vol 8 (4S) ◽  
pp. 1-5
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Security And Privacy ◽  
The Internet ◽  
Security Threats ◽  
Large Network ◽  
Iot Security ◽  
Security Issues ◽  
Wide Range ◽  
The Internet Of Things

The Internet of Things (IoT) has been growing to market from the past several years with great potential. Many several devices have been now available in the market based on IoT, which enables it to connect with your smart phones or with any other kind of smart resources, and then that device is ready to perform smart work via the Internet. With the help of IoT, we are now able to make our devices connect with the internet and then can be operated from anywhere from the geo location as well as it can store and retrieve a large amount of data for better communication between the end-user and the device. IoT also has a wide range of applications that are being used on many platforms. However, this great technology also has to face many problems and among all the problems the main issue arises with its security aspects. The major concern on using IoT security is the hacker wants to enter into the large network system using a particular device as all the devices are connected over the network. Not only this, many other security threats and malware are also a major concern in IoT. So taking these security aspects as a major concern this research paper reviews several security issues and challenges that occur in IoT. As there in every field when it comes to cyber security for any kind of data, we need to follow CIA Security Triangle i.e., Confidentiality, Integrity, and Availability of data. CIA security triangle is the most important concept in terms of security and also must be taken into consideration in the IoT domain. Therefore, considering all these facts and reviewing some of the latest documents as well as researches in the field of IoT, this paper has been based on all the facts related to IoT security issues and its desirable solution which is needed to be done and should follow the security triangle to an extent.

scholarly journals VOCATIONAL SCHOOL LABORATORY ON THE BASIS OF CYBER SECURITY IN THE FIELD OF THE INTERNET OF THINGS (IOT)

2019 ◽  
Author(s):  
Э.Д. Алисултанова ◽  
Л.К. Хаджиева ◽  
М.З. Исаева
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Legal Aspects ◽  
Smart Manufacturing ◽  
The Internet ◽  
Iot Security ◽  
Career Opportunities ◽  
School Laboratory ◽  
Basic Ideas ◽  
The Internet Of Things

Данная статья посвящена созданию профориентационной (умной) лаборатории, которая призвана сформировать у школьников базовые представления о технологии Интернет вещей (IoT), угрозах кибербезопасности в этой сфере, мотивировать к получению в будущем профильного образования и построению карьеры в области обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. Обучение школьников в профориентационной лаборатории, построенное на основе применения интерактивных электронных образовательных ресурсов, прежде всего будет позиционировать карьерные возможности будущих специалистов в сфере обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. В рамках функционирования лаборатории особое внимание обучающихся сконцентрировано на тематиках правовых аспектов обеспечения кибербезопасности, главных тенденциях развития киберугроз в современном глобальном информационном пространстве и мерах, необходимых для их нейтрализации. This article is devoted to the creation of a career-oriented (smart) laboratory, which is designed to formulate in schoolchildren basic ideas about the Internet of Things (IoT) technology, cyber security threats in this area, motivate to receive specialized education in the future and build a career in the field of Internet things (IoT) security) with the functioning of smart manufacturing. The training of schoolchildren in a vocational guidance laboratory, based on the use of interactive electronic educational resources, will primarily position the career opportunities of future specialists in the field of Internet of Things (IoT) security in the operation of smart manufacturing. Within the framework of the functioning of the laboratory, special attention of students is concentrated on the topics of the legal aspects of ensuring cyber security, the main trends in the development of cyber threats in the modern global information space and the measures necessary to neutralize them.

Internet of Things (IoT): Classification, Secured Architecture Based on Data Sensitivity, Security Issues and Their Countermeasures

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140001
Author(s):  
Bremnavas Ismail Mohideen ◽  
Basem Assiri
Keyword(s):  
Internet Of Things ◽  
Pervasive Computing ◽  
Architecture Design ◽  
Iot Security ◽  
Significant Development ◽  
Security Issues ◽  
Physical Resources ◽  
Healthcare Monitoring ◽  
Data Sensitivity

In recent decades, the communication of electronic equipment and physical resources is combined. Internet of Things (IoT) distributes things widely in the network. The IoT is Internet-based pervasive computing, which created significant development in the recent disposition of IoT infrastructures. The IoT infrastructures lead, manage and generate large amounts of data across various applications including environmental, transportation and healthcare monitoring. In this regard, there are salient uncertainties about the use of security concepts that are frequently measured as a major concern of IoT distributed architecture design. This paper mainly focuses on the classification of IoT, novel architecture considering the sensitivity of data, IoT security layers, review of security issues and acclaimed countermeasures.

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